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360digitmg-dataanalyticscourse · 4 years ago

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The Way To Become A Data Scientist?

On average, nevertheless, data scientists make very comfortable salaries. In 2020 within the US, the common data scientist wage is more than US$one hundred twenty,000 per 12 months. Experienced data scientists with administration abilities can move into Director of Data Science and comparable director- and executive-stage roles. From there, extra experienced data scientists can look for Senior Data Scientist roles. Depending on the scale of the company, data scientists may be responsible for this whole data life cycle, or they might concentrate on a particular portion of the life cycle as part of a larger data science staff. Data science is vast, attention-grabbing, and rewarding subject to review and be a part of.

pandas supplies an excessive-performance data construction (called a "DataFrame '') that is appropriate for tabular data with columns of various varieties, just like an Excel spreadsheet or SQL desk. It includes instruments for reading and writing data, dealing with missing data, filtering data, cleansing messy data, merging datasets, visualizing data, and a lot extra. In brief, studying pandas will considerably enhance your efficiency when working with data. Instead, you must give attention to learning one language and its ecosystem of best data science training in hyderabad. If you've chosen Python , you might wish to contemplate installing the Anaconda distribution as a result of it simplifies the process of package setup and management on Windows, OSX, and Linux. At least, till the world finds one thing higher than data and data for doing each and every thing that depends on them, which is, after all, a really impractical chance.

Moreover, we can watch movies whenever we want, since we're provided with lifetime access to self-studying movies. Data scientists create data-pushed enterprise options and analytics by driving optimization and improvement of product growth. They use predictive modeling to extend and optimize customer experiences, income era, advert concentrating on, and extra. Data scientists additionally coordinate with totally different practical teams to implement models and monitor outcomes. Learn introductory programming and data analysis in MATLAB, with functions to biology and medication. Data Science Central and 360DigiTMG – Data Science Central and 360DigiTMG are good assets for staying at the forefront of industry tendencies in data science.

Salary website PayScale examined the median wage and determined that a data scientist within the 50th percentile can expect to earn $ninety,807 a year. The Bureau of Labor Statistics , which refers back to the broader occupation as "computer and data scientists," lists the median annual wage as $114,520. Virtually all industries harness the ability of data in a technique or one other. Skilled data scientists are prized by health care corporations, ecommerce companies, monetary companies, social networks and science-primarily based organizations like drug corporations. Start your journey right now within the GetEducated online degree database. Similar careers additionally embrace software program development, computer community architects, database directors, data analysts, and data safety analysts. Any profession that makes use of pc expertise, info analysis, or forecasting could possibly be a possible home for anybody trained or experienced in big data.

I might clear the 360DigiTMG Data Scientist certification exam within the first attempt. In this project, you need to work with a number of operators concerned in R programming together with relational operators, arithmetic operators, and logical operators for various organizational wants. In this project, you'll use the banking dataset for data analysis, data cleansing, data preprocessing, and data visualization.

It additionally helps data scientists to handle advanced unstructured data units. As a data scientist, you could encounter a state of affairs where the quantity of data you have exceeds the memory of your system or you need to send data to totally different servers, this is where Hadoop comes in. You can use Hadoop to rapidly convey data to various factors on a system. You can use Hadoop for data exploration, data filtration, data sampling and summarization. Because of its versatility, you can use Python for almost all the steps involved in data science processes. It can take various formats of data and you may easily import SQL tables into your code. It lets you create datasets and you'll literally discover any sort of dataset you want on Google.

It is a really delicate area as there is a massive catch- without correct utilization of assets and poor administration, data science is sure to give outcomes which are spectacular failures. Data scientists are well-revered nerds who are integral to the workings of an organization. Data visualization is necessary for presenting the inference to laymen for them to easily understand the end result. As a data scientist one should have the ability to talk successfully about your findings, recommendations, and the plan of motion.

The Bureau of Labor Statistics just recently released a report that reveals how the job market is tightening. If you’re looking for a steady business that isn’t going wherever anytime soon, data science is an excellent selection. machine learning course, college students are launched to various techniques and concepts, such as mathematical and heuristic aspects, supervised and unsupervised learning, algorithm improvement and arms-on modeling.

Although these two areas mix related abilities and share widespread targets , they are unique in one clear facet. Data science, which is a newer subject, is closely based on the usage of computer systems and expertise. It accesses data from massive databases, uses code to govern data, and visualizes numbers in a digital format. Let’s take a look at a fairly typical example of a data scientist in motion.

Experts already feel it as one of the highest-paying careers of the twenty-first century. Governments, in addition to private organisations, are on the lookout for competent Data Scientists and there exists a scarcity of the same. India is the second most prominent hub of such positions after the United States. So, data science is a highly employable and appealing sector as per the present industry tendencies. Technically you don’t have to know this to be a data scientist, however becoming a better software developer makes you a better data scientist, and it's so useful to know the way to construct your individual internet apps. Eric GrimsonThis is a very glorious course by professor Eric Grimson from MIT.

Data science is a subject of research. The place data is analyzed using some specific parameters and a call is taken primarily based on the pattern and outcomes which are generated by the evaluation. It is an interdisciplinary science that's about using scientific methods, algorithms and processes to check the out there data and gain data from it.

You’ll want many skills, a wide range of data, and a passion for data to turn out to be an effective data scientist that companies need to rent, and it’ll take longer than the hyped up YouTube movies claim. Essentially, it comes right down to doing what you’re studying, i.e. if you take a course and learn a talent, apply it to a real project instantly. Working via real-world projects that you are genuinely thinking about helps solidify your understanding and supplies you with proof that you know what you’re doing. This is one of the most extremely rated programs dedicated to the precise arithmetic used in ML. Take this course when you’re uncomfortable with the linear algebra and calculus required for machine studying, and you’ll save some time over other, extra generic math programs. Lastly, should you’re extra thinking about studying data science with R, then positively take a look at Dataquest’s new Data Analyst in R path. The Dataquest subscription gives you access to all paths on their platform, so you possibly can learn R or Python (or each!).

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analyticsindiam · 5 years ago

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Intel Readies For An AI Revolution With A Comprehensive AI Solutions Stack

Global technology player Intel has been a catalyst for some of the most significant technology transformations in the last 50 years, preparing its partners, customers and enterprise users for a digital era. In the area of artificial intelligence (AI) and deep learning (DL), Intel is at the forefront of providing end-to-end solutions that are creating immense business value. But there’s one more area where the technology giant is playing a central role. Intel is going to the heart of the developer community by providing a wealth of software and developer tools that can simplify building and deployment of DL-driven solutions and take care of all computing requirements so that data scientists, machine learning engineers and practitioners can focus on delivering solutions that grant real business value. The company’s software offerings provide a range of options to meet the varying needs of data scientists, developers and researchers at various levels of AI expertise. So, why are AI software development tools more important now than ever? As architectural diversity increases and the compute environment becomes more sophisticated, the developer community needs access to a comprehensive suite of tools that can enable them to build applications better, faster and more easily and reliably without worrying about the underlying architecture. What Intel is primarily doing is empowering coders, data scientists and researchers to become more productive by taking away the code complexity. Intel Makes AI More Accessible For The Developer Community In more ways than one, software has become the last mile between the developers and the underlying hardware infrastructure, enabling them to utilise the optimization capabilities of processors. Analytics India Magazine spoke to Akanksha Bilani, Country Lead – India, Singapore, ANZ at Intel Software to understand why, in today’s world, transformation of software is key to driving effective business, usage models and market opportunity. “Gone are the days where adding more racks to existing platforms helped drive productivity. Moore’s law and AI advocates that the way to take advantage of hardware is by driving innovation on software that runs on top of it. Studies show that modernization, parallelisation and optimization of software on the hardware helps in doubling the performance of our hardware,” she emphasizes. Going forward, the convergence of architecture innovation and optimized software for platforms will be the only way to harness the potential of future paradigms of AI, High Performance Computing (HPC) and the Internet of Everything (IoE). Intel’s Naveen Rao, Corporate Vice President and General Manager, Artificial Intelligence Products Group at Intel Corporation, summed up the above statement at the recently concluded AI Hardware1 summit. It’s not just a ‘fast chip’ - but a portfolio of products with a software roadmap that can enable the developer community to leverage the capabilities of the new AI hardware. “AI models are growing by 2x every 3 months. So it will take a village of technologies to meet the demands: 2x by software, 2x by architecture, 2x by silicon process and 4x by interconnect,” he stated. Simplifying AI Workflows With Intel® Software Development Tools As the global technology major leads the way forward in data-driven transformation, we are seeing Intel® Software2 solutions open up a new set of possibilities across multiple sectors. In retail, the Intel® Distribution of OpenVINO™ Toolkit is helping business leaders3 take advantage of near real-time insights to help make better decisions faster. Wipro4 has built groundbreaking edge AI solutions on server class Intel® Xeon® Scalable Processors and the Intel® Distribution of OpenVINO™ Toolkit. Today, data scientists who are building cutting-edge AI algorithms rely very heavily on Intel® Distribution for Python to get higher performance gains. While stock Python products bring a great deal performance to the table, the Intel performance libraries that come already plugged in with Intel® Distribution for Python help programmes gain more significant speed-ups as compared to the open source scikit-learn. Now, those working in distributed environments leverage BigDL, a DL library for Apache Spark. This distributed DL library helps data scientists accelerate DL inference on CPUs in their Spark environment. “BigDL is an add-on to the machine learning pipeline and delivers an incredible amount of performance gains,” Bilani elaborates. Then there’s also Intel® Data Analytics Acceleration Library (Intel® DAAL), widely used by data scientists for its range of algorithms, ranging from the most basic descriptive statistics for datasets to more advanced data mining and machine learning algorithms. For every stage in the development pipeline, there are tools providing APIs and it can be used with other popular data platforms such as Hadoop, Matlab, Spark and R. There is also another audience that Intel caters to — the tuning experts who really understand their programs and want to get the maximum performance out of their architecture. For these users, the company offers its Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) — an open source, performance-enhancing library which has been abstracted to a great extent to allow developers to utilise DL frameworks featuring optimized performance on Intel hardware. This platform can accelerate DL frameworks on Intel architecture and developers can also learn more about this tool through tutorials. The developer community is also excited about yet another ambitious undertaking from Intel, which will soon be out in beta and that truly takes away the complexity brought on by heterogeneous architectures. OneAPI, one of the most ground-breaking multi-year software projects from Intel, offers a single programming methodology across heterogeneous architectures. The end benefit to application developers is that they need no longer maintain separate code bases, multiple programming languages, and different tools and workflows which means that they can now get maximum performance out of their hardware. As Prakash Mallya, Vice President and Managing Director, Sales and Marketing Group, Intel India, explains, “The magic of OneAPI is that it takes away the complexity of the programme and developers can take advantage of the heterogeneity of architectures which implies they can use the architecture that best fits their usage model or use case. It is an ambitious multi-year project and we are committed to working through it every single day to ensure we simplify and not compromise our performance.” According to Bilani, the bottomline of leveraging OneAPI is that it provides an abstracted, unified programming language that actually delivers a one view/OneAPI across all the various architectures. OneAPI will be out in beta in October. How Intel Is Reimagining Computing As architectures get more diverse, Intel is doubling down on a broader roadmap for domain-specific architectures coupled with simplified software tools (libraries and frameworks) that enable abstraction and faster prototyping across its comprehensive AI solutions stack. The company is also scaling adoption of its hardware assets — CPUs, FPGAs, VPUs and the soon to be released Intel Nervana™ Neural Network Processor product line. As Mallya puts it, “Hardware is foundational to our company. We have been building architectures for the last 50 years and we are committed to doing that in the future but if there is one thing I would like to reinforce, it is that in an AI-driven world, as data-centric workloads become more diverse, there’s no single architecture that can fit in.” That’s why Intel focuses on multiple architectures — whether it is scalar (CPU), vector (GPU), matrix (AI) or spatial (FPGA). The Intel team is working towards offering more synchrony between all the hardware layers and software. For example, Intel Xeon Scalable processors have undergone generational improvements and are now seeing a drift towards instructions which are very specific to AI. Vector Neural Network Instruction (VNNI), built into the 2nd Generation Intel Xeon Scalable processors, delivers enhanced AI performance. Advanced Vector Extensions (AVX), on the other hand, are instructions that have already been a part of Intel Xeon technology for the last five years. While AVX allows engineers to get the performance they need on a Xeon processor, VNNI enables data scientists and machine learning engineers to maximize AI performance. Here’s where Intel is upping the game in terms of heterogeneity — from generic CPUs (2nd Gen Intel Xeon Scalable processors) running specific instructions for AI to actually having a complete product built for both training and inference. Earlier in August at the Hot Chips 2019, Intel announced the Intel Nervana Neural Network processors4, designed from the ground up to run full AI workloads that cannot run on GPUs which are more general purpose. The Bottomline: a) Deploy AI anywhere with unprecedented hardware choice b) Software capabilities that sit on top of hardware c) Enriching community support to get up to speed with the latest tools Winning the AI Race For Intel, the winning factor has been staying closely aligned with its strategy of ‘no one size fits all’ approach and ensuring its evolving portfolio of solutions and products stays AI-relevant. The technology behemoth has been at the forefront of the AI revolution, helping enterprises and startups operationalize AI by reimagining computing and offering full-stack AI solutions, spanning software and hardware that add additional value to end customers. Intel has also heavily built up a complete ecosystem of partnerships and has made significant inroads into specific industry verticals and applications like telecom, healthcare and retail, helping the company drive long-term growth. As Mallya sums up, the way forward is through meaningful collaborations and making the vision of AI for India a reality using powerful best-in-class tools. Sources 1AI Hardware Summit: https://twitter.com/karlfreund 2Intel Software Solutions: https://software.intel.com/en-us 3Accelerate Vision Anywhere With OpenVINO™ Toolkit: https://www.intel.in/content/www/in/en/internet-of-things/openvino-toolkit.html 4At Hot Chips, Intel Pushes ‘AI Everywhere’: https://newsroom.intel.com/news/hot-chips-2019/#gs.8w7pme Read the full article

#intel #intelai #intelartificialintelligence

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mobileexpressnow · 8 years ago

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KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018

In our Mobile app development industry, if there is anything that grows at par with the continuous app entries in the stores and the frequent updates, it is the increasing number of programming languages to support the mushrooming.

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018.

Swift 4.0

Java 8

KOTLIN

React Native

Python

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

Swift 4 is based on the strong points of Swift 3, providing better stability and robustness, offering source code compatibility with the Swift 3 language. It has brought in enhancements to the library, and have additional features like serialization and archival. Taking iPhone app development companies to the next level.

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

Swift, in comparison to Objective-C is gaining popularity with each passing day (as you can see in the image below), and is expected to completely surpass Objective-C iOS app development language soon.

2. Java 8

Java 8 is an upgrade to Java’s programming model and is a coordinated advancement of the Java language, JVM, and libraries. The language, which is used for Android app development includes features promoting ease of use, productivity, security, improved performance, and improved polyglot programming.

Features –

Virtual Extension Methods and Lambda Expression

One of the most noteworthy features of the Java SE 8 language is its implementation of the Lambda expressions and the various related supporting features for both the platform and Java programming language.

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

The now official Google programming language, Kotlin is used for developing multi-platform applications. With the help of the language, one can create apps for JVM, Android, Native, and Browser. Since the announcement of it becoming the official language, Kotlin has been adopted by a number of companies for their apps. Since it’s very new in the industry, we recently wrote an article to help make it easy for the developers to make the switch from Java to Kotlin.

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features –

Java Interoperability

Kotlin is 100% interoperable with Java, making it easy for the Java developers to learn the language. The platform gives the developers an option to paste their code and it converts the Java code into Kotlin’s.

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

React Native is the framework, which uses React to define the user interface for the native devices. With the help of React Native one can build applications, which runs on both iOS and Android devices using JavaScript.

Features –

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

Its interface helps developers in looking into someone else’s project and building upon it. It gives the benefit of flexibility as it takes less time for the developers to understand the programming logic and edit it.

5. Python

It is a general purpose language that has a variety of uses ranging from mathematical computing, such as – NumPy, SymPy, and Orange; Desktop Graphical UI – Panda3D, Pygame and in Web Development – Bottle and Django.

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

Features –

Easy to Learn

The language has a simple and elegant syntax which is much easier to write and read as compared to the other programming languages like C#, Java, and C++. For a newbie it is every easy to start with Python solely because of its easy syntax.

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

Python has standard libraries which save developers’ time in writing all the code themselves. Suppose you want to connect MySQL database on the web server, now instead of writing the whole code by yourself, you can make use of the MySQLdb library.

6. R

It is an open source program which is used to perform statistical operations. R is a command line driven program, meaning that developers enter command at the prompt and every command is implemented one at a time.

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features –

Event Driven

All APIs in the Node.js library are event driven, meaning the Node.js server doesn’t have to wait for the API to return data. Server moves to next API after calling it and the notification mechanism of the Node.js events help servers in getting a response from the last API call.

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell

Haskell is a functional programming language. It is a first commercial language to enter the functional programming domain. It is a mix of a number of generalizable functions which define what a program is supposed to do., allowing the lower layers handle the mundane details such as iteration.

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

The proprietary programming language allows plotting of data and functions, matrix manipulations, development of user interfaces, implementation of algorithms, and interfacing with the programs written in the other languages that includes C++, C, C#, Fortran, Java, and Python.

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript

It allows developing applications for mobile, desktop and web, as well as build interactive websites. When compared to Python or Java, JavaScript is easier to learn and implement because of all of the accessible UI features. It has many convenient and flexible libraries, among which React.js, Angular.js, and Vue.js are the most trending ones.

JavaScript is one of the most used programming languages by developers, ranking on the top with 62.5% in the <a href=”http://ift.tt/2hvE0Qp; rel=”nofollow”>Stack Overflow Developer Survey</a> (as you can see in the graph given below).

Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Just like many other scripting languages, JavaScript is dynamically typed. Here, a type is linked with each value and not just with each expression. Moreover, JavaScript includes an eval function that performs statements provided as strings at run-time.

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

JavaScript is nearly object-based with an object considered as an associative array, combined with a prototype. Each string in case of JavaScript serves the name for an object property, with two ways to specify the name. A property can be added, deleted or rebound at run-time, and most of the properties of an object can be computed using a for…in loop.

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

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olumina · 8 years ago

Text

KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018.

Swift 4.0

Java 8

KOTLIN

React Native

Python

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

2. Java 8

Features –

Virtual Extension Methods and Lambda Expression

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features –

Java Interoperability

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

Features –

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

5. Python

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

Features –

Easy to Learn

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

6. R

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features –

Event Driven

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript

Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post KOTLIN, Python, and React Native among the Top 10 Programming Languages to Look Out For in 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

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jobisitejobs · 8 years ago

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J2EE / Java Developer Remote Opportunity with Appliedmemeticsllc

The position listed below is not with South Carolina Interviews but with AppliedmemeticsllcSouth Carolina Interviews is a private organization that works in collaboration with government agencies to promote emerging careers. Our goal is to connect you with supportive resources to supplement your skills in order to attain your dream career. California Interviews has also partnered with industry leading consultants & training providers that can assist during your career transition. We look forward to helping you reach your career goals! If you any questions please visit our contact page to connect with us directlyOverview: Applied Memetics LLC (AM LLC) is seeking an J2EE / Java Developer with deep knowledge of maintaining custom web and mobile software applications to support a Veterans Affairs program. Must be a US Citizen Project Overview for the J2EE / Java Developer The Clinical Knowledge Management (CKM) program is part of Veterans Affairs' Connected Health Office (CHO) that provides benefits and services to Veterans. A primary goal of the CHO is to design and implement user-friendly, high-quality mobile devices, software, and services for Veterans and their medical caregivers. Specifically, the CKM program ensures a seamless clinical, portfolio, architectural, and operational optimization of these mobile health applications. Responsibilities: Responsibilities of the J2EE / Java Developer: The Contracted J2EE / Java Developer shall support mobile health applications by providing maintenance activities including, but not limited to: Reviewing and correcting or replacing of the middle-tier service layer for VistA data integration Developing or maintaining of shared MAE services (e.g., MDWS and VistA exchange) to support mission objectives Writing scalable web services in Spring / MVC Develop and configure J2EE Containers General Requirements of the J2EE / Java Developer: Minimum 7 years of experience as a team member and subject matter expert in an Agile / Scrum Java / J2EE software development environment Excellent communication skills and a good command of the English language Qualifications: Required Skills of the J2EE / Java Developer: Must have experience writing scalable web services in Spring / MVC Deep understanding of web service technologies, to include: Interface definitions (e.g., WSDL, WADL, ICDs) Data Schemas (XSD, JSON-Schema) Developing and consuming with SOAP-and REST-based services Developing and testing web services in js (Express) and Java(e.g.,JAX-RS, Spring Web Services) Experience developing in and configuring J2EEcontainers Experience with Javascript and Java Development Fluency in developing shared MAE services (e.g., MDWS and VistA exchange) Experience with Gitand distributed version control systems Backend services: Java J2EE, RESTful services, Spring, Spring Security, & Spring MVC knowledge, object-oriented design principles, SOA principles, WebLogic, Tomcat app server, JPA UI layer: Knowledge of mobile applications development (IOS and/or Android), Backbone, Node.js, Angular.js, Cordova (Phonegap), Xcode (Objective-C/Swift), JS/CSS/HTML5, and JQuery Databases: Oracle, MySQL, MongoDB Development build tools:Git, Ant/Maven, Gradle, Jenkins, Docker, continuous integration Preferred Skills of the J2EE / Java Developer: Working with legacy RPC-based systems Educational Requirements of the J2EE / Java Developer: Bachelors degree in Information Technology, Engineering, Computer Science, Statistics or related field **Experience working in federal government environments is preferred.** SDL2017 Associated topics: algorithm, c#, develop, developer, matlab, perl, php, programming, sde, software programmer J2EEJavaDeveloper(RemoteOpportunity)withAppliedmemeticsllc from Job Portal http://www.jobisite.com/extrJobView.htm?id=71939

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matlabhwexperts-blog · 8 years ago

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MATLAB Distributed Computing Server Homework Assignment Help

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jobisite11 · 8 years ago

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J2EE / Java Developer Remote Opportunity with Appliedmemeticsllc

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usajobsite · 8 years ago

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J2EE / Java Developer Remote Opportunity with Appliedmemeticsllc

#Job Portal

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tracey-greene · 8 years ago

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The Summer is winding down, but the Job Market in the Hedge Fund, Private Equity, Electronic Trading, & Proprietary Trading Arenas are Heating up

Below is a list of roles with a brief Abstract and Comp Range.

Please feel free to share these opportunities with your friends.

BELOW are all the Roles - If Interested, Please email me:

[email protected]

Global Hedge

· Firm Location:Mid-Town, NYC

· About Firm:Multi-strategy investment Hedge fund. 7+ Billion assets under management

Open Positions:

· C# . Net Developer ( 3 -8 years exp only ) ( Comp: 150 -200 k )

Abstract: Firm is looking to take strong Mid-level .Net C# developers that are superior developers and task them with helping to build out the firm’s full lifecycle suite of trading applications. Candidates DO NOT Need Financial firm experience. Just be extremely strong in .Net Development and be hungry to learn.

Global Hedge

· Firm Location:Mid-Town, NYC

· About Firm:Multi-strategy investment Hedge fund. 4+ Billion assets under management

Open Positions:

· Linux Engineer with Strong Network skills ( 4-8 years exp only ) ( Comp: 150 -200 k + )

Abstract: Firm is looking for strong Linux Engineer with more than just basic Network admin skills. The platform engineering group at is responsible for every platform, great opportunity to learn tech silo’s outside of Linux and networking as well. Great shop.

Global Hedge

· Firm Location:Mid-Town, NYC

· About Firm: fund founded in 1990’s that manages approximately $32.0 billion+ in assets as of August 1, 2017. We have more than 1,200+ employees working across offices in the United States, Europe and Asia.

Open Positions:

· WQ Aligned Infrastructure - Senior Infrastructure Engineer ( Comp: 250 – 350 k+ )

Abstract: Design and implement massively scalable, highly-performance, cutting-edge infrastructure for a compute grid. Develop and implement software tools and methods to automate and manage large distributed systems. Python, and experience with Ansible/CFEngine/Saltstack. Thorough knowledge up and down the OSI stack and deep knowledge of *nix systems.

· WQ Aligned Infrastructure - Senior Network Engineer ( Comp: 250 – 350 k+ )

Abstract: Design and implement massively scalable, highly-performant network infrastructure for a compute grid. Build and maintain network fabrics through relentless automation – (eg. Ansible). Identify and pilot emerging networking technology to enhance the business’ competitive advantages (eg. PFC, QoS, RoCE)

· WQ Aligned Infrastructure - Senior Storage Engineer ( Comp: 250 – 300 k+ )

Abstract: Hands on experience with NIS, DFS and AD concepts. Experience administering Netapp (C-mode, SnapVault etc) Experience / knowledge / interest in of one or more distributed file/storage systems (GFS, CEPH, GPFS, Lustre, NFS, Bittorrent, *FS)

· WQ Aligned Infrastructure - Senior Support Engineer ( Comp: 250 – 350 k+ )

Abstract: will focus on grid operations (across network, compute and storage) and help lead the creation of an operations discipline across the team. Strong Infrastructure ( Linux Knowledge )

· Database Engineer ( Comp: 250 – 270 k+ )

Abstract: DBA with hands-on experience supporting Oracle and MySQL databases. Productionizing and optimizing applications leveraging Oracle and MySQL databases, provide assistance in physical & logical database design for these database platforms. Skill in Ansible, Python and Linux shell scripting is a must

· Cloud Data Engineer ( Comp: 250 – 400 k+ )

Abstract: experience designing and building data analytics platforms on cloud based infrastructure. Experience with both cloud-native data pipeline and transformation tools, such as AWS Kinesis, Redshift, Lambda, and EMR, as well as withopen source tools such as NiFi, Kafka, Flume, Hadoop, Spark, and Hive. Experience with text based analytics including basic NLP techniques (tokenization, stemming, NER, etc.) is a strong plus. Experience with Lucene based search engines is required with a preference for Elasticsearch.

· Security Engineer ( Comp: 200 – 400 k+ )

Abstract: Security subject matter expert with hands-on experience in a wide range of security technologies, tools and methodologies. Endpoint Detection and Response, DLP, Advance Malware Protection, Desktop encryption and Vulnerability Management. Familiarity with developing controls to secure sensitive Windows workloads hosted on Cloud platforms (IaaS and SaaS). Hands-on experience using Windows development/scripting technologies with web protocols: XML, REST, JSON, REST. Strong knowledge of LDAP, Active Directory, SAML, SSO

· Cloud DevOps Engineer ( Comp: 200 – 350 k+ )

Abstract: DevOps pipeline that will initially be leveraged in the Data Analytics space. build a pipeline infrastructure using all the latest AWS tools and techniques. Automating the build and management of cloud infrastructure using AWS native tools, open source tools, and third party products. Experience with tools, such as Chef, Puppet, Salt, or Ansible is desired. Log management and monitoring tools is required, including experience with cloud native tools, such as AWS CloudWatch.

· Dev Ops Engineer ( Comp: 250 – 300 k+ )

Abstract: This role entails prompt service request fulfilment, patch cable management, with an attention to detail and quality, as well as a working knowledge of Data Center Information Management (DCiM). Configuration and automation tools, such as Chef, Puppet, Ansible, or Salt. Strong coding skills in Python or Java. cloud using AWS CloudWatch, AWS CloudTrail, AWS Config, AWS Lamb

· Data Center Specialist ( Comp: 200 – 370 k )

Abstract: This role entails prompt service request fulfilment, patch cable management, with an attention to detail and quality, as well as a working knowledge of Data Center Information Management (DCiM).Maintain 100% accuracy of assets tracked in the firms DCiM tool. Server HW repair scheduling and coordination with the firms internal clients, infrastructure peers, and Multi-Vendor Services (MVS) partner

Quantitative proprietary trading:

· Firm Location:Mid-Town, NYC

· About Firm: Quantitative proprietary trading firm whose philosophy is that rigorous scientific research can uncover inefficiencies in financial markets, firm was created to develop and systematically trade model driven strategies globally. Firm currently has more than $5 billion of assets under management

Open Positions

· Labs Engineer ��( Comp: 300 – 500 k+ )

Abstract: Small and nimble, the R&D Labs team collaborates with every part of firm, from technology to research to business operations. Meaningfully shape and define our long-term tech strategy.. Orchestration (Mesos,Kubernetes, Swarm, ECS, SLURM, Nomad). Platforms (AWS, GCP, Azure, Bluemix). Machine Learning Frameworks (TensorFlow, Theano, Caffee, Torch). IaaS and PaaS Architectures (OpenStack, OpenSwift, Cloud Foundry, Terraform). Container and Virtualization (Docker, rkt, Vagrant). Big Data Frameworks (Spark, Hadoop, Flink). Automation Skills (Puppet, Chef, Ansible, Salt)

· Linux Engineer ( Comp: 250 – 350 k )

Abstract: Linux is truly the heart of our prod and dev environments, and the OS plays a critical role in everything we do. We’re looking for an extraordinary Linux Engineer to join our Systems group. Our dream candidate would have not only impressive knowledge of RHEL (the overall distribution, kernel and subsystems, config management, virtualization, etc.), but also would be strong enough as a generalist (storage, networks, basic SDLC and project management) to be able to architect, build, and run a world-class platform. It’s not a systems programming job,

· Ops Manager ( Comp: 250 – 350 k+ )

Abstract: world-class Operations Manager to lead and expand the capability of our Monitoring team, which today consists of Technical and Trading Operations. These teams sit at the intersection of many parts of the firm, including software development, risk, systems engineering, portfolio management, compliance, and post-trade. The person in this role must be able to collaborate with stakeholders from all of those areas to set expectations and goals, drive improvements, and hit targeted results. He or she also needs a deep technical background,

· Quantitative Researcher ( Comp: 250 – 400 k+ )

Abstract: Strong programming skills (Python, R, Matlab, C++) Firm’s Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually-challenging environment that encourages collaboration and innovative ideas. In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members are working on the most critical and interesting problems, with focus on research rigor and standards.

· Security Architect ( Comp: 250 – 450 k+ )

Abstract: an expert security engineer to direct the way we develop and deploy software. Serving as subject matter expert on information security topics, you will provide technical guidance and support to a variety of large-scale projects across the firm. Our ideal candidate is a superb communicator with broad technical skills, excellent judgment, and information security domain expertise.

· Software Engineer ( Comp: 250 – 320 k )

Abstract: Trading Infrastructure Technology (C++ Focus)

Our business depends on automated trading platforms that are fast, stable, resilient, and innovative. Create, support, and improve our fast real-time global trading engine – the automated platform on which all of our trading strategies run. Manage the codebase that runs order routing and execution, exchange connectivity, and market data. Be a partner to our research strategies, systems engineers, and business operations teams to ensure success

§ Abstract: Trading Business Technology (Java Focus)

Designing and engineering our next generation platform for routing and managing all of our post-trade data is an exceptional challenge and a top business priority. Redesign, build, and evolve our post-trade technology stack for finance, fund operations, analytics, risk, and compliance. Own the selection, vetting, and integration of open-source and third-party platforms. Be a business partner to our CFO, COO, and operations teams

§ Abstract: Software Infrastructure (C++ and Python Focus)

Although we write plenty of our software completely from scratch, we also create an ever-expanding set of powerful tools, services, and common frameworks our developers can use as building blocks. Write, manage, and evolve the core software DNA of libraries and services that our engineers use to write all of the code that runs our business: logging and discovery, orchestration, tooling, services, etc. Innovate in and improve the quality of our development environment, from source control to compilers and beyond.

§ Abstract: Research Infrastructure (C++ and Python Focus)

In order to work their magic, our research scientists and software engineers rely on a suite of bespoke tools, libraries, and applications, running in a fast and stable research grid environment. Build and manage libraries and APIs, as well as the container, distributed algorithm, grid-abstraction, and calculation frameworks used by researchers. Provide a flexible, high-performance research environment. Allow the scale, algorithmic complexity, and searing performance of our HPC grid to be accessible to a diverse set of research users and use cases

· Threat Intelligence / Incident Response ( Comp: 200 – 250 k+ )

Abstract: provide expert guidance on security architecture, threat intelligence and monitoring, and incident response. You’ll also support policy compliance efforts, mitigate the risks of insider threats and information disclosure, and facilitate our understanding of cyber threats. Our ideal candidate is a hands-on generalist – with excellent judgment and strong communication skills – who is interested in contributing to all aspects of information security and risk assurance. Strong experience with designing and operating security monitoring platforms (SIEM) and intrusion detection solutions, as well as with IoCs. Demonstrated ability to coordinate and respond to security incidents using commercial and/or open source technologies. Light software development and/or practical scripting experience. Experience using and extending Splunk is a plus.

Hedge fund

· Firm Location: Down Town, NYC

· About Firm: Electronic trading firm that integrates a number of disciplines into order to be successful, including systems engineering,statistics, computer science, finance, and street smarts.

Open Positions

· Information Security Analyst ( Comp: 210 – 310 k+ )

Abstract: Creating status reports for key security projects. Tracking cybersecurity KPI/KRI on a weekly basis and update the report in the chase cooper system dedicated to risk team at London. Create a report on KPI/KRI for the quarterly board meetings. Creating status reports for key security projects. Tracking cybersecurity KPI/KRI on a weekly basis and update the report in the chase cooper system dedicated to risk team at London. Create a report on KPI/KRI for the quarterly board meetings. One or two of the cybersecurity technical domains namely DLP, Log review and aggregation on SIEM to track Measurement Indicators (MI) – KRI and KPI, alerts from IDS/IPS

· Senior HPC Engineer ( Comp: 220 – 450 k+ )

Abstract: Senior HPC Engineer will be responsible for:Researching, testing, recommending, implementing, and maintaining large-scale, resilient, distributed systems. Designing and maintaining a multi-petabyte distributed storage system. Optimizing resource utilization and job scheduling. Troubleshooting node-level issues, such as kernel panics and system hangs. Hands-on ;distributed filesystems, such as, GPFS, Lustre and object storage,HPC or cloud scheduling, such as, GridEngine, HTCondor, SLURM, Mesos and Nomad

· Senior Network Engineer ( Comp: 250 – 350 k+ )

Abstract: Taking a leading role in the design of networks for new offices and data centers. Finding low latency solutions for existing network. high performance networks with multiple sites (data centers and/or trading facilities. routing protocols including BGP, OSPF, MSDP and PIM.

· Software Developer ( Comp: 250 – 360 k+ )

Abstract: Designing and implementing a high-frequency trading platform, which includes collecting quotes and trades from and disseminating orders to exchanges . development language, including Java, Python, or Perl and shell scripts (a plus). strong background in data structures, algorithms, and object-oriented programming in C++

· Team Manager, Cloud Services ( Comp: 220 – 450 k+ )

Abstract: Architecting, installing and managing a large-scale research and development environment utilizing cloud technologies and cloud-scale tools, such as Kubernetes, Docker and Object Store Collaborating with internal trading teams and external business partners to optimize compute workloads

· Tech Lead, Desktop/Mobile Engineering ( Comp: 210 – 280 k+ )

Abstract: Testing, deploying, and troubleshooting Desktop and Mobile technologies to meet architectural and security requirements in an Open Source friendly setting. Engineering and administering the wireless infrastructure within Tower to facilitate connectivity between Enterprise end points for internal resources

· Web Frontend Developer ( Comp: 220 – 310 k+ )

Abstract: least one of the following frameworks: React, Vue.js, AngularJS. Strong knowledge of the full web programming stack (Python/Django experience a plus). Backend development experience in Python or Go (a plus).Expertise with frontend technologies, client side Javascript and HTML based UI development. Strong knowledge of CSS and experience building responsive web designs

Electronic Trading firm

· Firm Location: Down Town, NYC

· About Firm: Hedge fund that uses a variety of technological methods, including artificial intelligence, machine learning, and distributed computing, for its trading strategies. 40 Billion Assets under management, with 800+ employees

Open Positions

· ALPHA CAPTURE SOFTWARE ENGINEER ( Comp: 300 – 450 k )

Abstract: seeking a driven Web 2.0 software engineer to join our alpha-capture product team. Partnering with software engineers across the organization, you will be instrumental in building scalable, multi-server, multi-database web applications. Programming languages such as Java, Groovy, C or C++. front-end javascript libraries like Google Closure, Twitter Bootstrap, jQuery, MooTools, or Dojo. Strong working knowledge of current web standards including CSS3 and HTML 5.

· ENGINEERING MANAGER, DISTRIBUTED STORAGE SYSTEMS ( Comp: 210 – 350 k+ )

Abstract: Our storage requirements are scaling at multiple petabytes per year across a diverse array of storage solutions including block storage, object storage, time series and key-value based systems. In this role, you will be charged with all aspects of the development, operational support, and performance of multi-petabyte tiered storage systems

· NETWORK ARCHITECT ( Comp: 400 – 550 k )

Abstract: Designing, developing and building the next generation data center, campus and colocation networks with a view to enterprise grade security, stability, resilience, application delivery, and automation. Network capacity planning, provisioning and lifecycle management. Working directly with our users to gather ideas and requirements to build a world-class Network environment, using leading-edge techniques and tools. Developing an SDN strategy to the next level. (splunk, elk, logstash). Robust theoretical and practical experience with BGP, OSPF and MPLS VPN technologies. This is a Hands on Role

· PRODUCTION ENGINEER - TRADING ( Comp: 250 – 450 k )

Abstract: Monitoring the health of the production trading system; diagnosing and fixing issues with intraday transactions and post-trade reconciliation; Configuring and deploying changes to the trading system including new features and fixes; Comprehensive programming experience is required. Preferred languages would be Java, Python, C++, Scala, or any language that compiles in the JVM. A strong knowledge of network/connectivity and/or Linux server technologies, particularly as related to ultra-low latency design.

· RELIABILITY ENGINEER ( Comp: 250 – 450 k )

Abstract: Acting as a conduit between infrastructure and development teams, being sympathetic to the concerns and priorities of both; operational support and engineering, OpenStack private cloud; multiple large distributed software applications; support issues and improvements to our tools, processes, and software; Ability to program (structured and OO) with one or more high level languages (such as Python, Java, C/C++, Ruby, JavaScript). In-depth knowledge and experience in at least one of: host based networking, linux/unix administration,

· SYSTEMS SUPPORT ENGINEER ( Comp: 120 – 250 k )

Abstract: SSE will be exposed to multiple IT disciplines including Windows Workstation, Windows Server, MS Exchange, Linux, switches, and telecommunications. The successful candidate will have a strong interest and background in PC Hardware, desktop operating systems, and network functionality. The SSE is the principal owner of service requests.

· VIRTUALIZATION ENGINEER - WINDOWS SERVER FARM ( Comp: 200 – 350 k )

Abstract: lead architect, developing automated Hyper-V and Bare-Metal based Windows Server builds, engineering infrastructure to provide a highly manageable and flexible server farm that can be easily grown, upgraded, operated, patched, and recovered. Skilled invirtualization tool (VMWare, Hyper-V, Xen, etc.),Windows Server 2012R2 and 2016 build and configuration, Microsoft System Center Suite, scripting and automation using PowerShell, C#, Ruby, Python

· WINDOWS PLATFORM ENGINEER ( Comp: 200 – 350 k )

Abstract: Windows Platform Engineering team is a systems team that focuses on developing automated Windows Server and Workstation builds on bare-metal hardware as well as on Hyper-V using SCCM and SCVMM. Engineers within the team have deep and broad skillsets covering hardware, operating systems, VDI, application packaging, application virtualization, server and workstation configuration management, scripting and automation, direct and shared storage, security, networking, monitoring, device management, vulnerability management, operating system and application patching.

Proprietary Trading Shop

· Firm Location: Philadelphia CT

· About Firm: global quantitative trading company. It provides an integrated research, sales, and trading platform that offers research, order execution, and trading flow services with a focus on delivering trading strategies and execution services to clients in North America, Europe, and Asia. With 1000+ employees and 200+ Billion in Assets Managed

Open Positions

· C# Developers ( Comp: 150 – 350 k )

Abstract: develops applications that parse market data into our downstream trading systems. As a member of this team, you will work with a set of high performance libraries and utilities that handle our market data processes. This will involve parsing market data formats and optimizing data structures

· C++ Developers ( Comp: 150 – 350 k )

Abstract: Research, design, develop and test software components and applications in a heterogeneous technology environment using knowledge of object oriented programming and C++/Linux. design and software development in a high-performance / high throughput environment using C++ (preferably in a Linux environment) is required

· FPGA ( Comp: 250 – 450 k )

Abstract: vision from concept through to production including hardware selection, FPGA design, driver and API. Deep knowledge of TCP/IP, PCI-E protocols and x86 architecture is required, as well as experience implementing performance optimized solutions around these.

Hedge Fund

· Firm Location: Greenwich, CT

· About Firm: The firm is a strong proponent of diversification within portfolios, as well as adding strategies with low correlation to traditional asset classes as a complement to existing portfolios. 400+ Employees, 180+ Billion in Assets under management

Open Positions

· Risk IT Professional ( heavy focus BCP-DR ) ( Comp: 1000/day c2c )

Abstract: Firm has need for Heavy DR focus professional that has strong current experience in running DR exercises,recording said exercises, replaying exercises. As well as writing of DR, BCP, Information Security, Infrastructure Risk Plans. ( this is a long term contract and will be a single point SME for this in the hedge fund )

· Software Engineer in Research ( Comp: 200 – 390 k )

Abstract: (Python / NumPy / Pandas)software engineers to work in our research department. Our developers are responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and implementation that powers Fir

· SW Infra Dev ( Comp: 200 – 390 k )

Abstract: Software Infrastructure platform, to provide new middleware, standards and libraries for integrating software systems with each other. Software components are deployed in Windows and Unix platforms, and usually written in Python, Scala, Java, or C#. Working hand in hand with System Administrators and Production Services we provide top notch service to our clients, the developers, to enable them using new technologies the most efficient and safest way possible. (RabbitMQ, Kafka, Docker, Redis, Zookeeper, Grafana, Graphite, InfluxDB, Docker, Swagger Puppet and Ansible )

· Data Visualization Developer ( Comp: 200 – 290 k )

Abstract: Data Visualization Engineer (Front Office) will work hand in hand with the product management teams playing a key role in firm’s portfolio management. The two primary objectives: portfolio monitoring and client communication. (SQL with advanced analytic functions) Python (pandas, NumPy, SciPy) Experience w/ consuming & building APIs. Experience with Tableau or any other BI tool is a plus

· Reporting Engineer ( Comp: 200 – 290 k )

Abstract: The Data Reporting Developer’s day-to-day responsibilities will include importing, normalizing, sanitizing, transforming, validating, and modeling data to distill meaningful information from very large, disparate data sets to support internal business functions, and satisfy client requests Extensive experience with Microsoft SQL Server & Advanced T-SQL Programming, SQL Server Reporting Services7, at least 5+ years’ experience in developing financial systems Java, AJAX.

· Security Engineer ( Comp: 250 – 450 k )

Abstract: The Security Engineer will maintain, design and implement firewalls, IPS, proxy, DDOS, e-commerce web application security infrastructures of the firm.The environment consists of tiered multi-core network components interconnected using a number of point-to-point, MPLS and VPN connections to financial services companies, market data vendors, ISPs, remote sites and users. ( Managing Network Access Control technology, two factor authentication management system, logging and correlation engines, packet capture on servers utilizing Wireshark. Experience with VMware ESX 5.x, ESXi virtualization technology, Experience with web proxy appliances,Experience working with endpoint security and DLP software)

· Risk Technology Developer ( Comp: 250 – 300 k )

Abstract: Risk developer, will help to establish; APIs for accessing core services and data sources for historic inputs to research; Research APIs to support backtesting and model validations; Patterns for promoting research models to official model; Historical simulation and backtesting engines. Knowledgeable about software engineering practices and tools in Java.Experience with C# is a plus

· Senior Systems Engineer - Linux Administrator ( Comp: 200 – 300 k )

Abstract: Effectively managing RHEL-based Linux systems. Experience with puppet and SpaceWalk is helpful but not required. Familiarity with high-performance systems would be preferred such as 10 Gb networking, kernel stack bypass technologies, scheduler and other kernel optimizations. Strong understanding of networking concepts (IP addressing, DHCP and DNS, NTP, multicast routing, 802.1q VLAN tagging) and diagnostic tools (tcpdump/ethtool)

· Algo Trading - Scala Developer ( Comp: 250 – 450 k )

Abstract: asset algorithms trading equities, FX, Futures and options both domestically and internationally. You will: Design, refine, and implement Firm’s multi-asset algorithmic trading strategies. Support the algorithmic infrastructure. Participate in every phase of the software development life cycle. Experience in network, parallel/distributed, multi-threaded programming.Experience with Bash and Python scripting

HEDGE FUND

· Firm Location:Mid-town, NYC

· About Firm:Firm operates two primary businesses: one of the world's largest alternative asset managers with more than $20 billion in assets under management; and the Securities side, one of the leading market makers in the world, trading products including equities, equity options, and interest rate swaps for retail and institutional clients. The company has more than 1400 employees. Currently 149 Billion under management

Open Positions

Data Engineer ( Comp: 250 – 430 k+ )

Abstract: Data Engineers are tasked with building next generation data analysis platforms. Our data analysis methods evolve on a daily basis and we empower our engineers to make bold decisions that support critical functions across the business. Proficiency within one or more programming languages including C, C++, Python, R or JavaScript. Proficiency with multiple data platforms including RDBMS, NoSQL, MongoDB, Spark, Hadoop. Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Cloud Platform Development, Networking, and/or REST Service Development

End User Support & Technology Engineer ( Comp: 200 – 280 k+ )

Abstract: End User Support and Technology Engineers provide technical support and administration for all internal end-user software, hardware, and connectivity. Dell desktops, ThinkPad laptops, RSA Remote Access Tokens, BYOD, and Cisco telephony / IP Trade trading turrets. Strong understanding of Microsoft Windows operating systems and productivity software (Excel, Word, PowerPoint, Visio, Windows). Experience with mobility software such as Office (13/16/365) and Windows (7/10) and hardware platforms such as Surface Pro

FPGA Engineer ( Comp: 400 K +)

Abstract: Partner with business leaders to research, design, implement and deploy FPGA solutions across Citadel’s trading businesses. Maximize trading system efficiency and performance to accelerate algorithmic trade signal generation and order execution. Proficiency within one or more programming languages including C, System Verilog, VHDL, or Bash. Experience in one or more of the following areas: Hardware Architecture, RTL Coding, Simulation, Systems Integration, Hardware Validation and Testing, FPGA Synthesis, and Static Analysis

Infrastructure Operations Engineering ( Comp: 200 – 280 k+ )

Abstract: The Infrastructure Operations team supports critical infrastructure across the firm Understanding of networking, including TCP/IP at layers 2 and 3 and CCNA level. Strong understanding of Linux, RHCSA level with hands on knowledge of the CLI. Advanced Python scripting ability

Network Engineer (Comp: 200 – 350 k) l>

Abstract: responsible for the design, administration and troubleshooting of global network infrastructures in a fast paced, latency-sensitive environment. Knowledge of TCP/IP, OSPF, BGP, MSDP, PIM (SM and DM) protocols. Experience with Cisco (Routing, L3 and L2 switching, Firewalling (FWSM, PIX and ASA) and VPN (Site-to-Site IPSec). Experience with provisioning and maintenance of Coarse and Dense Wave Division Multiplexing (DWDM)

Quant Developer ( Comp: 200 – 450 k)

Abstract: partner with Quantitative Researchers to create and implement automated trading system software solutions that leverage sophisticated statistical techniques and technologies. programming languages, including C++, Python, and R. Experience with some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development

Site Reliability Engineer ( Comp: Comp: 220 – 380 k )

Abstract: Reliability Engineers (SREs) are responsible for taking applications to production and providing early support for applications in production. SRE’s will have a deep understanding of how applications function and are able to change applications for production quality. SREs are often be managed centrally, but do longer-term engagements with application teams to push applications into production or manage major refactors. Ensure the reliability, availability, and performance of applications . Monitor CDI/CD pipelines and testing systems for applications

WORLD LEADING HEDGE FUND

· Firm Location: Mid-town, NYC

· About Firm: Global investment and technology development firm with more than $42 billion in investment capital. With 1300 employees.

Open Positions

· Application Security Engineer ( Comp: 200 – 380 k +)

Abstract: This individual will work on the development and execution of the firm's information security program to improve the security posture of a fast-paced, large-scale IT environment. The engineer will collaborate with development and infrastructure teams on the security design of new solutions, perform security reviews of new and existing systems, and design, build, and operate innovative tools to improve internal security operations.

· Data Center Specialist (6-Month Contract) ( Comp: OPEN )

Abstract: This individual will be expected to work independently to assist in general data center operations in a variety of New York and New Jersey area co-location facilities: rack, install, and troubleshoot servers, storage, and networking equipment; and install and troubleshoot copper and fiber cables. This person must have exceptional written and oral communication skills since they will be working closely with other globally-based teams and/or vendors to identify, diagnose, and resolve issues. Attention to detail and the ability to apply knowledge to identify and resolve issues is a must, and previous data center experience is required. Familiarity with DCIM software is a plus. This candidate must also be open to shipping and receiving as required. Working experience with desktop support, project management,

· Network Engineer ( Comp: 200 – 450 k )

Abstract: An in-depth understanding of TCP/IP and LAN switching, familiarity with a wide range of network equipment (including Cisco IOS, NXOS, and ASA platforms), and advanced knowledge of routing protocols (such as BGP and OSPF) are desired. Programming and scripting expertise is essential (preferably in Python) in order to manage a complex environment with a number of internally developed tools, as is knowledge of relevant Cisco APIs. A familiarity with wired/wireless 802.1x environments and Cisco ISE is recommended.

· Security Engineer ( Comp: 200 – 450 k )

Abstract: The engineer will collaborate with development and infrastructure teams on the security design of new solutions, perform security reviews of new and existing systems, and design, build, and operate innovative tools to improve internal security operations. The engineer will also act as first response and work with system owners to remediate security-related incidents. Projects will span a wide range, including application security reviews, design of source code protection mechanisms, establishment of network demarcation points, and investigation of security incidents.

· Senior Windows Systems Engineer ( Comp: 200 – 350 k )

Abstract: An in-depth knowledge of core Windows technologies and strong programming and scripting ability (particularly in C# and PowerShell), with a focus on systems automation and configuration management, are required. A working knowledge of Linux in a cross-platform environment is preferred, and experience designing, developing, and supporting critical infrastructure services is essential. Additionally, some experience with automated build, deployment, and continuous integration systems, as well as configuration management tools (such as SCCM, PowerShell DSC, Puppet, Chef, Ansible, and/or SaltStack) and virtualized infrastructure (particularly Hyper-V and VMware), is a plus

· Systems Administrator ( Comp: 200 – 300 k )

Abstract: familiarity with general systems administration and an understanding of what makes for good IT policy; experience with phone, deskside, and remote user support; experience with hardware and software administration; experience supporting mobile devices; familiarity with a Linux or Solaris environment; experience with Python, PowerShell, and/or other scripting languages; trade floor and/or data center support experience; familiarity with Cisco and/or Polycom communications technology; familiarity with Active Directory.

· Systems Technician ( Comp: 140 – 160 k )

Abstract: Primary responsibilities include PC hardware, peripheral, and software deployments, mobile device management, support of videoconferencing equipment, trading floor support, and occasional datacenter work. Technicians have the opportunity to work with new technologies and state-of-the-art equipment in a collegian working environment

0 notes

answersportals-blog · 8 years ago

Text

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0 notes

olumina · 8 years ago

Text

Top 10 Trendiest Programming Languages of 2018

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018.

Swift 4.0

Java 8

KOTLIN

React Native

Python

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

2. Java 8

Features –

Virtual Extension Methods and Lambda Expression

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features –

Java Interoperability

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

Features –

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

5. Python

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

Features –

Easy to Learn

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

6. R

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features –

Event Driven

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript

Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post Top 10 Trendiest Programming Languages of 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

0 notes

mobileexpressnow · 8 years ago

Text

Top 10 Trendiest Programming Languages of 2018

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018.

Swift 4.0

Java 8

KOTLIN

React Native

Python

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

2. Java 8

Features –

Virtual Extension Methods and Lambda Expression

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features –

Java Interoperability

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

Features –

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

5. Python

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

Features –

Easy to Learn

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

6. R

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features –

Event Driven

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript

Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post Top 10 Trendiest Programming Languages of 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

0 notes

olumina · 8 years ago

Text

The Top 10 Programming Languages that will define 2018

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018.

Swift 4.0

Java 8

KOTLIN

React Native

Python

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

2. Java 8

Features –

Virtual Extension Methods and Lambda Expression

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features –

Java Interoperability

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

Features –

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

5. Python

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

Features –

Easy to Learn

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

6. R

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features –

Event Driven

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript

Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post The Top 10 Programming Languages that will define 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

0 notes

mobileexpressnow · 8 years ago

Text

The Top 10 Programming Languages that will define 2018

Based on the usability and ranking factors, I have listed down 10 Programming Languages that will define the next year.

Let’s cut to the chase:

Here is the list of Top 10 Programming Languages that will dominate the app development market in the year 2018.

Swift 4.0

Java 8

KOTLIN

React Native

Python

Node.Js

Haskell

MATLAB

JavaScript

1. Swift 4.0

The new version has been introduced with new workflow features and complete API for the Swift Manager Package

Features –

It is now possible to develop a number of packages before you tag your official release. Also, it easier now to work on branch of packages at the same time.

The package products are now formalized, which makes it possible to have a closer look at what the libraries that are published to the clients by the package.

To negate the effect of hostile manifests, Swift package now appears in sandbox that prevent file system modification and network access.

2. Java 8

Features –

Virtual Extension Methods and Lambda Expression

Time and Date API

The new API allows developers to manage time and date in a much cleaner, easier to understand, and natural way.

Nashhorn JavaScript Engine

A fresh high performance, lightweight implementation of the JavaScript engine has been integrated to the JDK and has been made available to the Java applications through existing APIs.

Improved Security

This has replaced the present hand-maintained document of the caller sensitive methods with the mechanism, which accurately identifies the methods and allow the callers to be discoverable reliably.

3. Kotlin

Read – Kotlin for Android App Development – The Whys and Hows and Bonus Tips

Features –

Java Interoperability

Zero Runtime Overhead

The language has concentrated extensions to the Java library. Most of its functions are in-line which simply become inline code.

Null Safety

Kotlin eliminates the side-effects of code’s null reference. The language does not compile the codes that returns or assigns a null.

Extension Functions

Developers can add methods in classes without bringing any changes to their source code. One can add the methods on the per user basis in the classes.

4. React Native

Features –

Code Reuse

The language gives you the freedom to use the same code for both iOS and Android.

Live Reload

It allows you to see the most recent change that you have made to the code, immediately.

Strong Performance

The language makes use of the Graphics Processing Unit, which makes it well tuned for mobile apps in terms of the speed advantage it offers.

Modular Architecture

5. Python

Python is known for its clean syntax and short length of code, and is the the most wanted programming language.

Features –

Easy to Learn

Open Source

The developers can freely use the language, even for their commercial uses. Other than using and distributing the software that are written in it, you can also make changes in the source code.

Portable

Python can be moved from one platform to another and run in them without any changes.

It can run seamlessly on platforms including Mac OS X, Windows, and Linux.

Standard Libraries

6. R

Features –

R supports object oriented programming with the generic functions and procedural programming with functions.

It can print the analysis reports in form of graph in both hardcopy and on-screen.

Its programming features consist of exporting data, database input, viewing data, missing data, variable labels, etc.

Packages form an element of R programming language. Thus, they are helpful in collecting the sets of R functions in a particular unit.

7. Node.Js

Node.js is the cross-platform, open-source JavaScript run-time environment for implementing JavaScript code on the server side.

It makes use of an event-focused, non-blocking I/O model, which makes it efficient and lightweight, ideal for data-concentrated real-time apps that can run across series of distributed devices.

Features –

Event Driven

Fast

Built on Google Chrome’s V8 JavaScript engine, the language’s library code execution’s speed is very fast.

Scalable

Node.js make use of one thread program, which can offer service to a large number of requests than its traditional servers such as Apache HTTP Server.

Zero Buffering

The Node.js application don’t buffer any data. They output all the data in portions.

8. Haskell

As compared to other similar programming languages, Haskell offers support for –

Lazy Evaluation

Monadic side-effects

Syntax based on the layout

Type classes

Pure functions by default

On the top of it, Huskell is one of the top 15 loved programming languages according to Stack Overflow Developer Survey.

9. MATLAB

It is one of the most superior language in the programs used for scientific and mathematical purposes. According to statistics Google Trends, this language will continue to remain in the market.

Features –

Offers interactive environment for design, iterative exploration, and problem solving.

Provide library of functions for fourier analysis, optimization, numerical integration, and Linear algebra among others.

Give development tool for bettering the code quality, maintainability, and maximizing their performances.

Provide function for integration of MATLAB algorithms with the external languages and applications like Java, C, .NET, and Microsoft Excel.

10. JavaScript

Features-

Universal Support

All modern web browsers support JavaScript, thanks to built-in interpreters.

Dynamic

Imperative and Structured

This programming language supports almost all the structured programming syntax from C, except scoping (right now, it had only function scoping with var).

Prototype-based (Object-oriented)

From ease of development to the richness of the end application, there are a number of reasons why the world continues to see advancements programming languages – making them newer and better.

Learning and using the ones mentioned in the article will definitely help you win the rat race to delivering top ranking apps.

The post The Top 10 Programming Languages that will define 2018 appeared first on Appinventiv Official Blog - Mobile App Development Company.

0 notes