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chamoranwadane-blog · 6 years ago

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Introduction to the framework

Programming paradigms

From time to time, the difference in writing code using computer languages was introduced.The programming paradigm is a way to classify programming languages based on their features. For example

Functional programming

Object oriented programming.

Some computer languages support many patterns. There are two programming languages. These are non-structured programming language and structured programming language. In structured programming language are two types of category. These are block structured(functional)programming and event-driven programming language. In a non-structured programming language characteristic

earliest programming language.

A series of code.

Flow control with a GO TO statement.

Become complex as the number of lines increases as a example Basic, FORTRAN, COBOL.

Often consider program as theories of a formal logical and computations as deduction in that logical space.

Non-structured programming may greatly simplify writing parallel programs.The structured programming language characteristics are

A programming paradigm that uses statement that change a program’s state.

Structured programming focus on describing how a program operators.

The imperative mood in natural language express commands, an imperative program consist of command for the computer perform.

When considering the functional programming language and object-oriented programming language in these two languages have many differences

In here lambda calculus is formula in mathematical logic for expressing computation based on functional abstraction and application using variable binding and substitution. And lambda expressions is anonymous function that can use to create delegates or expression three type by using lambda expressions. Can write local function that can be passed as argument or returned as the value of function calls. A lambda expression is the most convenient way to create that delegate. Here an example of a simple lambda expression that defines the “plus one” function.

λx.x+1

And here no side effect meant in computer science, an operation, function or expression is said to have a side effect if it modifies some state variable values outside its local environment, that is to say has an observable effect besides returning a value to the invoke of the operation.Referential transparency meant oft-touted property of functional language which makes it easier to reason about the behavior of programs.

Key features of object-oriented programming

There are major features in object-oriented programming language. These are

Encapsulation - Encapsulation is one of the basic concepts in object-oriented programming. It describes the idea of bundling the data and methods that work on that data within an entity.

Inheritance - Inheritance is one of the basic categories of object-oriented programming languages. This is a mechanism where can get a class from one class to another, which can share a set of those characteristics and resources.

Polymorphous - Polymorphous is an object-oriented programming concept that refers to the ability of a variable, function, or object to take several forms.

Encapsulation - Encapsulation is to include inside a program object that requires all the resources that the object needs to do - basically, the methods and the data.

These things are refers to the creation of self-contain modules that bind processing functions to the data. These user-defined data types are called “classes” and one instance of a class is an “object”.

How the event-driven programming is different from other programming paradigms???

Event driven programming is a focus on the events triggered outside the system

User events

Schedulers/timers

Sensor, messages, hardware, interrupt.

Mostly related to the system with GUI where the users can interact with the GUI elements. User event listener to act when the events are triggered/fired. An internal event loop is used to identify the events and then call the necessary handler.

Software Run-time Architecture

A software architecture describes the design of the software system in terms of model components and connectors. However, architectural models can also be used on the run-time to enable the recovery of architecture and the architecture adaptation Languages can be classified according to the way they are processed and executed.

Compiled language

Scripting language

Markup language

Communication between application and OS needs additional components.The type of language used to develop application components.

Compiled language

The compiled language is a programming language whose implementation is generally compiled, and not interpreter

Some executions can be run directly on the OS. For example, C on windows. Some executable s use vertical run-time machines. For example, java.net.

Scripting language

A scripting or script language is a programming language that supports the script - a program written for a specific run-time environment that automates the execution of those tasks that are performed by a human operator alternately by one-by-one can go.

The source code is not compiled it is executed directly.At the time of execution, code is interpreted by run-time machine. For example PHP, JS.

Markup Language

The markup language is a computer language that uses tags to define elements within the document.

There is no execution process for the markup language.Tool which has the knowledge to understand markup language, can render output. For example, HTML, XML.Some other tools are used to run the system at different levels

Virtual machine

Containers/Dockers

Virtual machine

Containers

Virtual Machine Function is a function for the relation of vertical machine environments. This function enables the creation of several independent virtual machines on a physical machine which perpendicular to resources on the physical machine such as CPU, memory network and disk.

Development Tools

A programming tool or software development tool is a computer program used by software developers to create, debug, maintain, or otherwise support other programs and applications.Computer aided software engineering tools are used in the engineering life cycle of the software system.

Requirement – surveying tools, analyzing tools.

Designing – modelling tools

Development – code editors, frameworks, libraries, plugins, compilers.

Testing – test automation tools, quality assurance tools.

Implementation – VM s, containers/dockers, servers.

Maintenance – bug trackers, analytical tools.

CASE software types

Individual tools – for specific task.

Workbenches – multiple tools are combined, focusing on specific part of SDLC.

Environment – combines many tools to support many activities throughout the SDLS.

Framework vs Libraries vs plugins….

plugins

plugins provide a specific tool for development. Plugin has been placed in the project on development time, Apply some configurations using code. Run-time will be plugged in through the configuration

Libraries

To provide an API, the coder can use it to develop some features when writing the code. At the development time,

Add the library to the project (source code files, modules, packages, executable etc.)

Call the necessary functions/methods using the given packages/modules/classes.

At the run-time the library will be called by the code

Framework

Framework is a collection of libraries, tools, rules, structure and controls for the creation of software systems. At the run-time,

Create the structure of the application.

Place code in necessary place.

May use the given libraries to write code.

Include additional libraries and plugins.

At run-time the framework will call code.

A web application framework may provide

User session management.

Data storage.

A web template system.

A desktop application framework may provide

User interface functionality.

Widgets.

Frameworks are concrete

Framework consists of physical components that are usable files during production.JAVA and NET frameworks are set of concrete components like jars,dlls etc.

A framework is incomplete

The structure is not usable in its own right. Apart from this they do not leave anything empty for their user. The framework alone will not work, relevant application logic should be implemented and deployed alone with the framework. Structure trade challenge between learning curve and saving time coding.

Framework helps solving recurring problems

Very reusable because they are helpful in terms of many recurring problems. To make a framework for reference of this problem, commercial matter also means.

Framework drives the solution

The framework directs the overall architecture of a specific solution. To complete the JEE rules, if the JEE framework is to be used on an enterprise application.

Importance of frameworks in enterprise application development

Using code that is already built and tested by other programmers, enhances reliability and reduces programming time. Lower level "handling tasks, can help with framework codes. Framework often help enforce platform-specific best practices and rules.

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latesttechnologytips-blog · 6 years ago

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Ladder Logical Programming

Programmable Logic Controllers or PLC can use a variety of programming languages, but in 99% of the cases, they use Ladder Logic. The main function of these programs is for industrial applications and processes certain machines have to do. It may seem that it is hard to learn like most of the languages, but this is the easiest to learn. You should put more effort into tasks than just learning, but there are some basics that you need to know always.

Thing like the ladder diagram and the parts of PLCs are basics in getting to know this industry. Because it isn’t as available as programs like Python, learning ladder Logic can be done online, and having a mentor will help when you try doing tasks. If you have a controller, it will be much easier to overcome it. There are certifications you can get, but usually, they are expensive, and we live in a world where you just have to prove you have the knowledge to get a job.

Definition of Ladder Diagram

This diagram is a representation of ladder logic PLC programming and relays logic control circuits. They use symbols in order to express the logic behind it. The standard IEC-61131 gave the name to this diagram. This was originally made for electricians, technicians, and electrical engineers so they can make programs that are complex and used for controlling machines without using other programming languages like Fortran, Pascal, and others.

The idea was to have a graphical form of these logical expressions. When you want to use a ladder diagram to present ladder logic it is like you draw a relay control circuit. Because relays were used before and people know how to read them, it is much easier to learn these diagrams. So, the maintenance staff will be able to know what is going on in the system. This means that the troubleshooting PLC problems will be much easier.

Essential Parts of the Diagram

You have to know certain parts of the diagram if you want to be able to draw it. First are the rails and there are two main that you draw as vertical lines. They are going to the end of the page. It is easier to look at them as you would in relays, and they would mean the active and 0-volt connections. The power here flows from left to the right-hand side.

The connection between the rails and logic expression represented as horizontal lines are rungs. A connection between relay components and wires that are connecting the power supply to the switch are rungs in the relay logic circuit. Inputs and outputs also called I/O are actually external control actions and external devices. Inputs can represent a switch or a push button and outputs can be a solenoid valve, electric motor, and similar devices.

To formulate the desired control operations you have to use a combination between logic expressions and inputs and outputs. The descriptions allocated to the addresses are the tag names. The description of the logic expression, input, and output are addressed notations. One of the most important parts are the comments. You can see them at the start of every rung. It is much easier to change it and understand it with comments.

How to Read the Logic?

The most important fact about is that PLC microprocessors like computers operate on a binary system. This means that things can be in one of two situations. To write and read the code ladder logic uses symbolic expressions. For example, a normally open or NO is how we express in the ladder logic something in that is in real-world like a limit switch being activated or a button being pushed.

Because the binary concept says that you have two states like true or false, this means that the NO can be true or false. If it is true it will be represented with green color. Green means that it will move to the next logic expression.

When a switch is turned on the current will flow through the electric circuit. Normally open contact doesn’t mean anything if you don’t have a logic that will decide what action to take. For example, if you are cold you will put your sweater on. So, besides realizing it is cold you also have to make an action after realizing. Cold and sweater on is the binary concept and the logic concept is “then”.

Functions of Ladder Logic

What happens in the real world is a PLC input and for example we will have a normally closed contact named “B”. The result of this function will be named “C”. This will be the output of the controller. When you create these two in the ladder logic you basically have the first line of the code. Of course, you have to insert them into a rung in the diagram.

There is a NOT function which means that the state of an event is opposite as it occurs. The result will be true if the input is false and the other way around. In a logic diagram when you draw this function, it is set as a form of normally closed. The AND function is used when all logics are true. If only one of them isn’t true the result will be false. Click here to read more.

OR Function

This one is a little bit different than the rest. Unlike other, this one doesn’t have the resulting output for multiple PLC inputs. In the ladder diagram, you can use it in a form of a relay coil and two NO contacts. For this function, there will be a branch in the rung. You can look at it as a parallel connection in the electric circuit. This function will examine if only one input is true and the result will be true. If you want the result to be false then all PLC inputs need to be false. When you know this function you are ready to start making your own programs.

Source Link:https://www.techjek.com/programming/ladder-logical-programming/

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douchebagbrainwaves · 5 years ago

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EVERY FOUNDER SHOULD KNOW ABOUT PRECEDING

A of the Metaphysics implies that philosophy should be useful too. That sounds good. There is something very American about Feynman breaking into safes containing secret documents. Depends what you mean by free. Fundraising is a chore for most founders, but some find it more interesting than working on their startup. Let's take a look inside the brain of the filter. It's a general historical trend. If you're the right sort of wrongness, that's a good sign. You'll certainly like meeting them. We'd also need ways of erasing personal information not just to-addresses and ccs, but also e. Four things, I think it may be better to think of all phone calls as one kind of thing, no matter what, but raising money will help us do it faster. Once something becomes a big marketplace, you ignore it at your peril.

If so, then substituting, we get Python's goal is regularity and readability, not power. So starting from utility won't entirely solve the problem I described above—it won't flush out the metaphysical singularity. And this team is the right answer. If some language feature is awkward or restricting, don't worry, you'll know about it. Design your product to please the users. The only place your judgement makes a difference is in the borderline cases. So that post is further evidence what a rare bird Fred is. I'd been unconsciously hoping to find there was back in the place I'd just left. If a mail reader has a delete-as-spam button then you could also add the from address of every email the user has deleted as ordinary trash. Yes. And once it spreads to hotels, where is the point in size of chain at which it stops? As for how to write well, here's the short version: Write a bad version 1 as fast as you can get it done quickly and get back to you with our thoughts.

How can you say that Java won't turn out to be widely applicable. At least, it has to cost. Fred Wilson never gives exploding offers, for example, a language that has car, cdr, cons, quote, cond, atom, eq, and a combined probability of. It was not always this way. It's much more of a problem. In the limit case, by writing a Lisp interpreter in the less powerful language? How lucky that someone so powerful is so benevolent. N elements. It didn't work out as I'd hoped. Lisp functions as Lisp data, and such a notation was devised for the purposes of the paper with no thought that it would be more useful, instead of random corporate deal-makers.

An idea from one area might spark a great discovery in another. You can't trust your intuitions. I've found that you can fix later, but you can make enormous gains playing around in problem-space. As those examples suggest, a recession may not be such a bad time to start a startup now, because the two are only loosely coupled. Now we have two pieces of information that I think are very valuable. I would say that writing a properly polymorphic version that behaves like the preceding examples is somewhere between damned awkward and impossible. As with an actual gold mine, you still have to pretend that's what they're doing when they patent algorithms. This too is a trend we see happening already: many recent languages are compiled into byte code.

But if you're in the inexperienced but earnest majority, the solution is analogous to the solution I recommend for pitching your startup: do the right thing and then just tell investors what you're doing; even if you're never called on to solve advanced problems, you can tell from the way their sites are organized that they don't lead, translate that in your mind. The closest you can get is to show that Lisp was neater than Turing machines was to write a piece of theory that unexpectedly got turned into a programming language in this sense, but the word madam never occurs in my legitimate email, and whatever was found on the site could be included in calculating the probability of the containing email being a spam. As an illustration of what I mean about the relative power of programming languages, consider the following problem. Among other languages, those with a reputation for succinctness would be the first investor becomes your asking price. It's 2002, and programming languages have almost caught up with 1958. What can I do to enable programmers to get the gold out of it. I've described is not going to get tagged as spam. At the moment each one has about 4000 messages in it. And they know the same about spam, including the experts themselves, can measure. I first came to Silicon Valley I thought How lucky that someone so powerful is so benevolent.

A round, or leads for them. This is supposed to double every eighteen months seems likely to run up against some kind of appeals process. Fortran and most succeeding languages, which distinguish between expressions and statements. When your fundraising options run out, they will be 74 quintillion 73,786,976,294,838,206,464 times faster. If writing some hairy macro could save you ten lines of code. 99 respectively, and a few months from now. When I first read this in my early twenties, it was like coming home. In Lisp, all variables are effectively pointers to strings stored in a hash table. You can be sure it's there, though. Anything deleted as spam goes into the spam corpus, and everything else goes into the spam corpus, with only 1. With OS X, the hackers are back.

Thanks to Trevor Blackwell, Robert Morris, rew Mason, and Jessica Livingston for sharing their expertise on this topic.

#automatically generated text #Markov chains #Paul Graham #Python #Patrick Mooney #Trevor #product #bird

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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.

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