#java real time project

[ashok13]

Ashok IT : Best Software Training Institute | Full Stack Development & IT Courses

In today’s fast-paced digital world, the demand for skilled IT professionals is on the rise. As technology continues to evolve, industries are seeking well-trained individuals who are equipped with the latest technical knowledge. Ashok IT has established itself as one of the leading software training institutes, offering specialized courses in Full Stack Development and various other IT disciplines. Whether you’re a beginner or a professional looking to advance your career, Ashok IT offers the tools, training, and guidance to help you succeed.

About Ashok IT

Ashok IT is a renowned software training institute based in India, committed to providing high-quality education in the field of IT. The institute caters to a diverse range of students, from those new to technology to experienced professionals looking to upgrade their skills. Known for its expert instructors, hands-on approach to learning, and industry-aligned curriculum, Ashok IT prepares students for successful careers in the ever-evolving tech world.

[dreaminginthedeepsouth]

Women pulling Lever on a Drilling Machine, 1978 Lee, Howl & Company Ltd., Tipton, Staffordshire, England photograph by Nick Hedges image credit: Nick Hedges Photography

* * * *

Tim Boudreau 

About the whole DOGE-will-rewrite Social Security's COBOL code in some new language thing, since this is a subject I have a whole lot of expertise in, a few anecdotes and thoughts.

Some time in the early 2000s I was doing some work with the real-time Java team at Sun, and there was a huge defense contractor with a peculiar query: Could we document how much memory an instance of every object type in the JDK uses? And could we guarantee that that number would never change, and definitely never grow, in any future Java version?

I remember discussing this with a few colleagues in a pub after work, and talking it through, and we all arrived at the conclusion that the only appropriate answer to this question as "Hell no." and that it was actually kind of idiotic.

Say you've written the code, in Java 5 or whatever, that launches nuclear missiles. You've tested it thoroughly, it's been reviewed six ways to Sunday because you do that with code like this (or you really, really, really should). It launches missiles and it works.

A new version of Java comes out. Do you upgrade? No, of course you don't upgrade. It works. Upgrading buys you nothing but risk. Why on earth would you? Because you could blow up the world 10 milliseconds sooner after someone pushes the button?

It launches fucking missiles. Of COURSE you don't do that.

There is zero reason to ever do that, and to anyone managing such a project who's a grownup, that's obvious. You don't fuck with things that work just to be one of the cool kids. Especially not when the thing that works is life-or-death (well, in this case, just death).

Another case: In the mid 2000s I trained some developers at Boeing. They had all this Fortran materials analysis code from the 70s - really fussy stuff, so you could do calculations like, if you have a sheet of composite material that is 2mm of this grade of aluminum bonded to that variety of fiberglass with this type of resin, and you drill a 1/2" hole in it, what is the effect on the strength of that airplane wing part when this amount of torque is applied at this angle. Really fussy, hard-to-do but when-it's-right-it's-right-forever stuff.

They were taking a very sane, smart approach to it: Leave the Fortran code as-is - it works, don't fuck with it - just build a nice, friendly graphical UI in Java on top of it that *calls* the code as-is.

We are used to broken software. The public has been trained to expect low quality as a fact of life - and the industry is rife with "agile" methodologies *designed* to churn out crappy software, because crappy guarantees a permanent ongoing revenue stream. It's an article of faith that everything is buggy (and if it isn't, we've got a process or two to sell you that will make it that way).

It's ironic. Every other form of engineering involves moving parts and things that wear and decay and break. Software has no moving parts. Done well, it should need *vastly* less maintenance than your car or the bridges it drives on. Software can actually be *finished* - it is heresy to say it, but given a well-defined problem, it is possible to actually *solve* it and move on, and not need to babysit or revisit it. In fact, most of our modern technological world is possible because of such solved problems. But we're trained to ignore that.

Yeah, COBOL is really long-in-the-tooth, and few people on earth want to code in it. But they have a working system with decades invested in addressing bugs and corner-cases.

Rewriting stuff - especially things that are life-and-death - in a fit of pique, or because of an emotional reaction to the technology used, or because you want to use the toys all the cool kids use - is idiotic. It's immaturity on display to the world.

Doing it with AI that's going to read COBOL code and churn something out in another language - so now you have code no human has read, written and understands - is simply insane. And the best software translators plus AI out there, is going to get things wrong - grievously wrong. And the odds of anyone figuring out what or where before it leads to disaster are low, never mind tracing that back to the original code and figuring out what that was supposed to do.

They probably should find their way off COBOL simply because people who know it and want to endure using it are hard to find and expensive. But you do that gradually, walling off parts of the system that work already and calling them from your language-du-jour, not building any new parts of the system in COBOL, and when you do need to make a change in one of those walled off sections, you migrate just that part.

We're basically talking about something like replacing the engine of a plane while it's flying. Now, do you do that a part-at-a-time with the ability to put back any piece where the new version fails? Or does it sound like a fine idea to vaporize the existing engine and beam in an object which a next-word-prediction software *says* is a contraption that does all the things the old engine did, and hope you don't crash?

The people involved in this have ZERO technical judgement.

[maribatserver]

Tag Team Tournament 2025

It's everyone's favorite time of year: Tag Team Tournament Hype Season! This year the Tag Team Tournament will take place from Sunday, July 27th - Saturday, August 2nd, so make sure to save the date and get started on your projects early!

Now as always, check out our Event Guide for the full rules and guidelines for submissions. We're not changing anything this year, but a refresher is always a good idea. Well, we're not changing the rules this year. We are making a BIG change to our line up.

After a tragic case of being in dead last place, our Mod Team made the decision to take Spandex Flex out of the running. In their place, we welcome back Pretty Punk, since our sever members declared Konette to be the best Super Fam ship during our super April Fool's Day fun.

This year, our 8 teams are:

Seamless Spin - Cassandra Cain x Marinette Dupain-Cheng

3's Company - Any Poly Ship

Rare Flair - Any Ship Without A Team

Lucky Shot - Roy Harper x Marinette Dupain-Cheng

Art Couple - Damian Wayne x Marinette Dupain-Cheng

Java Junkies - Tim Drake x Marinette Dupain-Cheng

Book Design - Jason Todd x Marinette Dupain-Cheng

Pretty Punk - Conner 'Kon-El' Kent x Marinette Dupain-Cheng

We are super excited for this year's Tag Team Tournament, and we hope that you're excited too! To help you get in the creative spirit, and to hopefully inspire you with ideas, @newdog14 assembled playlists for different genres of stories to help inspire you. There are also ship playlists which were made last year, and a Pretty Punk playlist coming next week. The genre playlists will be going up real soon too, as chosen by our server members. If you'd like to join in on that vote, send us an ask for an invite!

Speaking of things our server members voted on, we'll be releasing our prompt list early again this year, so make sure you check the blog each week to see if those have gone up with a playlist.

Many thanks to @newdog14, @nottesilhouette, and @izanae for their hard work in preparing this event. From brainstorming prompts to designing team logos to coding spreadsheets to suffering through the weirdest music videos ever, there's a lot of work that goes into an event this big! And thank you to everyone who has participated in this event, and to those who plan to participate this year. We could never pull this off without you!

[animacion-marina]

How to resize image without losing quality

Supervised Learning: KNN is a supervised learning algorithm, meaning it learns from labeled data to make predictions. Instance-Based Learning: KNN is also considered an instance-based or lazy learning algorithm because it stores the entire training dataset and performs computations only when making predictions. 

Use Java Maven Project For Image Resize

media stands out as the best tool for resizing pictures. With its user-friendly interface and advanced resizing capabilities, Shrink. media allows you to adjust your pictures' dimensions and file sizes while maintaining excellent visual quality.

Boof CV for Java Image Processing

Java CV for Java Image Processing

ImageJ for Java Image Processing

Boof CV is a comprehensive library designed for real-time computer vision and image processing applications. It focuses on providing simple and efficient algorithms for tasks such as image enhancement, feature detection, and object tracking.

[t-ierrahumeda]

Can I ask about your work experience, like what languages you work with and what kinds of projects you do? What is it that makes you want to take up a trade instead?

Hi! I've been a Java backend developer (mostly, I've done some front end stuff with Angular and Typescript, which I loathe) for 6 years. I've mostly worked in big companies, done contractor work (which I didn't like, WAY too demanding, REALLY long hours) and now I'm in a nondescript company, I took this job bc I was unemployed and I needed an income fast, but I don't like it.

I stress and get frustrated very quickly and there are many things that you have to be updated all the time, you can't just be a 'Java developer', you have to keep learning stuff that is insane and the pace changes all the time. You're surveilled all the time, not just with how many hours you put in, but also how much you use the computer, what programs you use, for how long, etc. It's very micromanaging-oriented. Some might not experience this, but I've always worked with these conditions, though lately even more monitored. I don't like it, makes me feel like I'm not working enough. You get the idea.

Currently I'm looking for a position in a better paid place, but the process of interviews is long and tiring, they can be over 2 hours long where they test your technical knowledge, sometimes with live coding, which makes me very very nervous (I don't like others seeing me coding, I hate it), and 99% of the times the interviewers are smug, sardonic men that will try to make you feel like you're dumb. This doesn't happen to my friends that also are developers, so I think it might be because I'm a female in the field. So there's that too. I'm thinking of changing paths because, even though most people might think this is a cushy job where you can work from home (that's a big plus, I don't complain about that, I love staying at home and I'm not very good at socializing duh I'm a software developer lol), you have to wreck your brain and you work long hours, sometimes up to 10 a day, specially when something breaks or you work in a shitty company, as is the case rn.

I wanna try doing something with my hands, something where I can see the results of my work in real life and that impacts others, and tbh there aren't many women electricians (I personally don't know any), so while it might be hard at first to get a clientele, I think there could be a market for it, bc women might feel safer with a woman in their house instead of a man. I want to try learning how to be a gas fitter and maybe also plumbing, so I can expand my trade and not just be an electrician. I found some 2 year courses at different universities so instead of finishing my degree in Software Engineering I'll go for that.

Hope that helps!

[oneictskills]

ICT Skills | An Online Live IT Training

ICT skills gives Live Online IT Training with job-oriented computer courses in India, We provide online programming certificate courses like Python, Java, Kotlin, C language, C plus plus, We serve online live full-stack Web Development Project Training programme such as Full stack framework based training with Django, Laravel, WordPress, PHP, Java, Node js, React JS, Mongo DB, Express js and as per student requirement, We (ictskills.in) give training on various field like online live UI-UX Design, Digital Marketing, Graphic Design, Web Design with essential tools HTML, CSS, SASS, Photoshop, illustrator, Canva, Figma, Indesign, Javascript with ES6, CorelDraw, Publisher, ICT gives live classes for basic to advanced skills in Word, Excel, Powerpoint, English, Hindi, Gujarati typing and as per school or college computer subject syllabus training in INDIA and World-Wide, We are teaching with Gujarati, Hindi, English language.

ICT Skills delivered training by a live instructor, in real-time. Virtually is training the student receives or accesses over the internet rather than being physically in the classroom with the instructor, We give Government authorized certificate to student. We conducted IT courses via the Internet. We are generally conducted through a learning management system, in which students can view their course syllabus and interact with instructor.

Enroll for Best Online IT Training | ICT Skills India

Contact Details: Ahmedabad, India Call: 09499569596 E-mail: oneictskills@gmail.com Website: www.ictskills.in Instagram Id: @oneictskills

#ictskillsin #oneictskills #ictskills #ict #institute #computer #ittraining #courses #india #ahmedabad #gujarati #hindi #english #liveclass #class #onlineclasses #stayhome #onlineclass #cbseclass #live #onlinecoaching #engineering #cbse #icse #designing #school #college #professional #ictweb #ict_ahmedabad

[stuarttechnologybob]

Which tools can help speed up the Android app development process?

Android App Development Services

In today's modern digital world, the businesses seek for quick time turnaround, without compromising the app's quality and standards as the best alternative. To meet this challenge and face them with extreme care, developers and coders tend to be reliable on specialized tools that streamline each phase of Android app development. Resources tends to aid and boost up their overall operating efficiency, reduce the bugs, and speed up the current development lifecycle.

Essential Tools for Android App Development -

1. Android Studio:

The official and reliable IDE for Android app development, the android studio offers and assist with everything the developers need in one place. With a brilliant code editor, real-time previews, and built-in emulators, it efficiently speeds up writing, testing, and deploying apps.

2. Kotlin and Java Development Kits:

Kotlin kits is one of the commonly used PL for Android apps due to its concise syntax and full interoperability with Java as it supports ease in operations and functioning. As the Kotlin kit in Studio makes the app development process cleaner and quick, minimizing common code errors and usual flaws that rise.

3. Firebase:

Firebase offers a complete backend solution with expertise, including authentication, database, crash reporting, and performance monitoring. As it simplifies the building process from server-side logic and helps speed up the development stage without managing the infrastructure.

4. GitHub & Bitbucket:

Version control tools like GitHub and Bitbucket allow and grant permissions to multiple developers at a time to collaborate efficiently. As these platforms assure smooth code integration and help the teams to detect issues early in development.

5. Gradle:

Gradle tool is one of the powerful build automation tools that helps manage dependencies and automate the build process with its implementation or adaptation into the system. As it is a process to lower down the build times is considered to be vital, which is essential for quick Android app development and smooth operations as the best process.

6. Genymotion:

Genymotion offers fast Android emulation with various device configurations. As iIt's perfect for testing and checking the app's performance across all the different screen sizes and Android versions without any physical devices presence or requirement as its consists features that are made to adaptable and flexible for that too.

7. LeakCanary:

This tool helps detect memory leaks in real-time. By integrating and merging out it early into your project, the developers can maintain the app's stability and reduce the time spent debugging issues later with its implementation.

Expert Support for Efficient Development -

Top companies like Suma Soft, IBM, Cyntexa, and Cignex leverage these tools to deliver high-quality Android apps faster. Their deep experience in Android app development ensures your app is built quickly and performs reliably across devices and user conditions.

[mitvpusolapur]

Top B.Tech Courses in Maharashtra – CSE, AI, IT, and ECE Compared

B.Tech courses continue to attract students across India, and Maharashtra remains one of the most preferred states for higher technical education. From metro cities to emerging academic hubs like Solapur, students get access to diverse courses and skilled faculty. Among all available options, four major branches stand out: Computer Science and Engineering (CSE), Artificial Intelligence (AI), Information Technology (IT), and Electronics and Communication Engineering (ECE).

Each of these streams offers a different learning path. B.Tech in Computer Science and Engineering focuses on coding, algorithms, and system design. Students learn Python, Java, data structures, software engineering, and database systems. These skills are relevant for software companies, startups, and IT consulting.

B.Tech in Artificial Intelligence covers deep learning, neural networks, data processing, and computer vision. Students work on real-world problems using AI models. They also learn about ethical AI practices and automation systems. Companies hiring AI talent are in healthcare, retail, fintech, and manufacturing.

B.Tech in IT trains students in systems administration, networking, cloud computing, and application services. Graduates often work in system support, IT infrastructure, and data management. IT blends technical and management skills for enterprise use.

B.Tech ECE is for students who enjoy working with circuits, embedded systems, mobile communication, robotics, and signal processing. This stream is useful for telecom companies, consumer electronics, and control systems in industries.

Key Differences Between These B.Tech Programs:

CSE is programming-intensive. IT includes applications and system-level operations.

AI goes deeper into data modeling and pattern recognition.

ECE focuses more on hardware, communication, and embedded tech.

AI and CSE overlap, but AI involves more research-based learning.

How to Choose the Right B.Tech Specialization:

Ask yourself what excites you: coding, logic, data, devices, or systems.

Look for colleges with labs, project-based learning, and internship support.

Talk to seniors or alumni to understand real-life learning and placements.

Explore industry demand and long-term growth in each field.

MIT Vishwaprayag University, Solapur, offers all four B.Tech programs with updated syllabi, modern infrastructure, and practical training. Students work on live projects, participate in competitions, and build career skills through soft skills training. The university also encourages innovation and startup thinking.

Choosing the right course depends on interest and learning style. CSE and AI suit tech lovers who like coding and research. ECE is great for those who enjoy building real-world devices. IT fits students who want to blend business with technology.

Take time to explore the subjects and talk to faculty before selecting a stream. Your B.Tech journey shapes your future, so make an informed choice.

[azurefaire]

some more thoughts on random pepper ann episodes if you even care:

nicky gone bad- i watched this episode during my binge watch over the summer, it's honestly the reason nicky is one of my favorite characters. watching it again, i think what makes it really sad is that all of this persona comes from nicky's feelings on how she is percieved but also focuses on her academic pressures. i really like how pepper ann's whole "this isn't you!" thing is often flawed and drawn out. and the sort of internal conflict of nicky and her one track mind was interesting

a tween halloween- i love this episode a lot because it's about growing out of halloween and the characters' conflict about it. pepper ann wanting to protect milo from embarassing himself was funny and interesting, and the fact that ALL the characters who said they didnt want to do halloween ended up doing it anyway. pepper ann's reaction to milo being "normal" was so funny as well. nicky's costume being the least obvious like my poor baby...

an otterbiography- 1. pepper ann is a furry 2. i found this episode very interesting from all the characters' perspectives. it's interesting how this opened with nicky joining the hockey team and how both friends have different perspectives on the situation. what i find interesting is nicky getting distracted being the thing starting the conflict of the episode, showing her fear of being watched sorta impacting her. i mean she didn't know her friends were gonna cheer her on?? nicky has the ability to succeed in athletics probably as much as becky but her performance is affected by her thoughts tbh.then later in the episode she seems very excited at the idea to wear a costume and be anonymous tbh. in some ways i think she was so glad the attention was on the mascot and not on her. also milo straight up telling craig "nicky likes you" was vile (and arguably i think she put him on a pedestal/projected onto/had traits she was straight up just fond of tbh. same with stewart. like i dont see it as ignoring the text her crushes/relationships feel the least real to me.)

greensleeves- this episode is so interesting to me. nicky's perspective on preforming i think of a lot. so when she was preforming at the java nut she was comfortable and her reasoning for preforming in a larger venue just makes me so sad. cause does it really come from insecurity? or does it come from her parents? the answer is obvious "ive been training to preform there since i was prenatal" uhhh and thats NOT NORMAL. and remember nicky is the youngest. so perhaps this was a goal she was working towards for the longest time. and her playing the song for pepper ann felt like a passive aggressive thing too towards the people who let this happen. she knew the people came there to see pepper ann play a different song. pepper ann was never forced to be a violin prodigy by her upbringing anyway they all get this. malicious compliance

[erik-even-wordier]

About the whole DOGE-will-rewrite Social Security's COBOL code

Posted to Facebook by Tim Boudreau on March 30, 2025.

About the whole DOGE-will-rewrite Social Security's COBOL code in some new language thing, since this is a subject I have a whole lot of expertise in, a few anecdotes and thoughts.

Some time in the early 2000s I was doing some work with the real-time Java team at Sun, and there was a huge defense contractor with a peculiar query: Could we document how much memory an instance of every object type in the JDK uses? And could we guarantee that that number would never change, and definitely never grow, in any future Java version?

I remember discussing this with a few colleagues in a pub after work, and talking it through, and we all arrived at the conclusion that the only appropriate answer to this question as "Hell no." and that it was actually kind of idiotic.

Say you've written the code, in Java 5 or whatever, that launches nuclear missiles. You've tested it thoroughly, it's been reviewed six ways to Sunday because you do that with code like this (or you really, really, really should). It launches missiles and it works.

A new version of Java comes out. Do you upgrade? No, of course you don't upgrade. It works. Upgrading buys you nothing but risk. Why on earth would you? Because you could blow up the world 10 milliseconds sooner after someone pushes the button?

It launches fucking missiles. Of COURSE you don't do that.

There is zero reason to ever do that, and to anyone managing such a project who's a grownup, that's obvious. You don't fuck with things that work just to be one of the cool kids. Especially not when the thing that works is life-or-death (well, in this case, just death).

Another case: In the mid 2000s I trained some developers at Boeing. They had all this Fortran materials analysis code from the 70s - really fussy stuff, so you could do calculations like, if you have a sheet of composite material that is 2mm of this grade of aluminum bonded to that variety of fiberglass with this type of resin, and you drill a 1/2" hole in it, what is the effect on the strength of that airplane wing part when this amount of torque is applied at this angle. Really fussy, hard-to-do but when-it's-right-it's-right-forever stuff.

They were taking a very sane, smart approach to it: Leave the Fortran code as-is - it works, don't fuck with it - just build a nice, friendly graphical UI in Java on top of it that *calls* the code as-is.

We are used to broken software. The public has been trained to expect low quality as a fact of life - and the industry is rife with "agile" methodologies *designed* to churn out crappy software, because crappy guarantees a permanent ongoing revenue stream. It's an article of faith that everything is buggy (and if it isn't, we've got a process or two to sell you that will make it that way).

It's ironic. Every other form of engineering involves moving parts and things that wear and decay and break. Software has no moving parts. Done well, it should need *vastly* less maintenance than your car or the bridges it drives on. Software can actually be *finished* - it is heresy to say it, but given a well-defined problem, it is possible to actually *solve* it and move on, and not need to babysit or revisit it. In fact, most of our modern technological world is possible because of such solved problems. But we're trained to ignore that.

Yeah, COBOL is really long-in-the-tooth, and few people on earth want to code in it. But they have a working system with decades invested in addressing bugs and corner-cases.

Rewriting stuff - especially things that are life-and-death - in a fit of pique, or because of an emotional reaction to the technology used, or because you want to use the toys all the cool kids use - is idiotic. It's immaturity on display to the world.

Doing it with AI that's going to read COBOL code and churn something out in another language - so now you have code no human has read, written and understands - is simply insane. And the best software translators plus AI out there, is going to get things wrong - grievously wrong. And the odds of anyone figuring out what or where before it leads to disaster are low, never mind tracing that back to the original code and figuring out what that was supposed to do.

They probably should find their way off COBOL simply because people who know it and want to endure using it are hard to find and expensive. But you do that gradually, walling off parts of the system that work already and calling them from your language-du-jour, not building any new parts of the system in COBOL, and when you do need to make a change in one of those walled off sections, you migrate just that part.

We're basically talking about something like replacing the engine of a plane while it's flying. Now, do you do that a part-at-a-time with the ability to put back any piece where the new version fails? Or does it sound like a fine idea to vaporize the existing engine and beam in an object which a next-word-prediction software *says* is a contraption that does all the things the old engine did, and hope you don't crash?

The people involved in this have ZERO technical judgement.

[aionlinemoney]

The Role of Machine Learning Engineer: Combining Technology and Artificial Intelligence

Artificial intelligence has transformed our daily lives in a greater way than we can’t imagine over the past year, Impacting how we work, communicate, and solve problems. Today, Artificial intelligence furiously drives the world in all sectors from daily life to the healthcare industry. In this blog we will learn how machine learning engineer build systems that learn from data and get better over time, playing a huge part in the development of artificial intelligence (AI). Artificial intelligence is an important field, making it more innovative in every industry. In the blog, we will look career in Machine learning in the field of engineering.

What is Machine Learning Engineering?

Machine Learning engineer is a specialist who designs and builds AI models to make complex challenges easy. The role in this field merges data science and software engineering making both fields important in this field. The main role of a Machine learning engineer is to build and design software that can automate AI models. The demand for this field has grown in recent years. As Artificial intelligence is a driving force in our daily needs, it become important to run the AI in a clear and automated way.

A machine learning engineer creates systems that help computers to learn and make decisions, similar to human tasks like recognizing voices, identifying images, or predicting results. Not similar to regular programming, which follows strict rules, machine learning focuses on teaching computers to find patterns in data and improve their predictions over time.

Responsibility of a Machine Learning Engineer:

Collecting and Preparing Data

Machine learning needs a lot of data to work well. These engineers spend a lot of time finding and organizing data. That means looking for useful data sources and fixing any missing information. Good data preparation is essential because it sets the foundation for building successful models.

Building and Training Models

The main task of Machine learning engineer is creating models that learn from data. Using tools like TensorFlow, PyTorch, and many more, they build proper algorithms for specific tasks. Training a model is challenging and requires careful adjustments and monitoring to ensure it’s accurate and useful.

Checking Model Performance

When a model is trained, then it is important to check how well it works. Machine learning engineers use scores like accuracy to see model performance. They usually test the model with separate data to see how it performs in real-world situations and make improvements as needed.

Arranging and Maintaining the Model

After testing, ML engineers put the model into action so it can work with real-time data. They monitor the model to make sure it stays accurate over time, as data can change and affect results. Regular updates help keep the model effective.

Working with Other Teams

ML engineers often work closely with data scientists, software engineers, and experts in the field. This teamwork ensures that the machine learning solution fits the business goals and integrates smoothly with other systems.

Important skill that should have to become Machine Learning Engineer:

Programming Languages

Python and R are popular options in machine learning, also other languages like Java or C++ can also help, especially for projects needing high performance.

Data Handling and Processing

Working with large datasets is necessary in Machine Learning. ML engineers should know how to use SQL and other database tools and be skilled in preparing and cleaning data before using it in models.

Machine Learning Structure

ML engineers need to know structure like TensorFlow, Keras, PyTorch, and sci-kit-learn. Each of these tools has unique strengths for building and training models, so choosing the right one depends on the project.

Mathematics and Statistics

A strong background in math, including calculus, linear algebra, probability, and statistics, helps ML engineers understand how algorithms work and make accurate predictions.

Why to become a Machine Learning engineer?

A career as a machine learning engineer is both challenging and creative, allowing you to work with the latest technology. This field is always changing, with new tools and ideas coming up every year. If you like to enjoy solving complex problems and want to make a real impact, ML engineering offers an exciting path.

Conclusion 

Machine learning engineer plays an important role in AI and data science, turning data into useful insights and creating systems that learn on their own. This career is great for people who love technology, enjoy learning, and want to make a difference in their lives. With many opportunities and uses, Artificial intelligence is a growing field that promises exciting innovations that will shape our future. Artificial Intelligence is changing the world and we should also keep updated our knowledge in this field, Read AI related latest blogs here.

[orbitwebtech]

NodeJS excels in web development with its event-driven, non-blocking I/O model, making it ideal for handling concurrent connections and real-time applications like chat apps and live streaming. Its single-threaded architecture and use of JavaScript, both on the server and client side, allow for seamless development across the entire stack. NodeJS is especially suitable for startups and projects that require fast, scalable, and high-performance solutions.

Java, on the other hand, is renowned for its robustness, security, and platform independence. It is a mature technology with a vast ecosystem and a wealth of libraries and frameworks, such as Spring and Hibernate, which facilitate the development of large-scale, enterprise-grade applications. Java's multithreading capabilities and strong memory management make it well-suited for complex, resource-intensive applications where stability and reliability are paramount.

Choosing between NodeJS and Java ultimately depends on the specific needs of your project. For real-time, scalable applications with a need for rapid development, NodeJS is a compelling choice. For enterprise-level applications requiring high stability, security, and comprehensive tool support, Java is often the preferred technology.

[roseliejack123]

Mastering Java: Your Comprehensive Guide to Programming Excellence

Embarking on the journey of mastering Java is akin to entering a realm of endless possibilities. Java, a versatile and widely-utilized programming language, offers a broad spectrum of applications, from crafting web and mobile applications to powering robust enterprise systems. Whether you are a novice in the realm of coding or a seasoned programmer looking to broaden your skill set, the path to proficiency in Java is an exciting one.

In this comprehensive guide, we will be your guiding light through the intricacies of Java, starting from the foundational basics and progressing to the more advanced aspects of the language. Our objective is to equip you with the knowledge and skills that form a robust and unshakable foundation for your journey into the vibrant world of Java. Fasten your seatbelt as we embark on this exhilarating exploration, charting a course that will empower you to thrive in the ever-evolving landscape of software development.

Here's a 8-step guide to effectively learn Java

Step 1: Setting Up Your Development Environment

Your journey to becoming a proficient Java developer commences with setting up your development environment. The essential components are the Java Development Kit (JDK) and an Integrated Development Environment (IDE) like Eclipse or IntelliJ IDEA. These tools aren't just convenient; they're the gears that will drive your Java programming endeavors. They streamline the coding process, provide useful features, and offer an organized workspace, making your coding experience efficient and enjoyable.

Step 2: The Foundation - Learning the Basics

With your development environment ready, it's time to delve into the fundamental building blocks of Java. Begin by acquainting yourself with data types, variables, operators, and control structures. These are the nuts and bolts of the language, and a solid grasp of these concepts is essential. You'll find an abundance of online tutorials and beginner-friendly Java books to assist you at this stage.

Step 3: Navigating the World of Object-Oriented Programming (OOP)

The object-oriented programming (OOP) approach is well known in Java. To harness the true power of Java, immerse yourself in the world of OOP. Understand the concepts of classes, objects, inheritance, encapsulation, and polymorphism. This knowledge forms the bedrock of Java programming and enables you to design efficient, organized, and scalable code.

Step 4: Mastering Data Structures and Algorithms

Data structures (such as arrays, lists, and sets) and algorithms are the secret sauce behind solving real-world problems efficiently. As you progress, dive into the world of data structures and algorithms. These are the tools that will empower you to handle complex tasks and optimize your code. They're your go-to assets for creating efficient and responsive applications.

Step 5: The Art of Exception Handling

Java boasts a robust exception-handling mechanism. Understanding how to handle exceptions properly is not just an add-on skill; it's a vital aspect of writing reliable code. Exception handling ensures that your code gracefully manages unexpected situations, preventing crashes and delivering a seamless user experience.

Step 6: Exploring Input and Output Operations

In this step, you'll explore the realm of input and output (I/O) operations. Mastering I/O is crucial for reading and writing files, as well as interacting with users. You'll gain the ability to build applications that can efficiently process data and communicate effectively with users.

Step 7: Conquering Multi tasking

Java's support for multi tasking is a significant advantage. Understanding how to manage threads and synchronize their actions is vital for creating concurrent applications. Multithreading is the key to developing software that can handle multiple tasks simultaneously, making your applications responsive and scalable.

Step 8: Building Projects and Real-World Practice

Theory is only as valuable as its practical application. The final step involves applying what you've learned by building small projects. These projects serve as a proving ground for your skills and provide valuable additions to your portfolio. Whether it's a simple application or a more complex project, the act of building is where the real learning takes place.

As you step into this vibrant realm of Java, remember that continuous learning is the key to staying relevant and effective in the ever-evolving field of software development. Be open to exploring diverse applications, from web development to mobile apps and enterprise solutions, and never underestimate the power of hands-on practice. Building projects, no matter how small, will solidify your knowledge and boost your confidence.

In your quest to master Java, ACTE Technologies stands as a valuable ally. Their expert guidance and comprehensive training programs will sharpen your skills, boost your confidence, and pave the way for a rewarding career in software development. Whether you're embarking on your Java journey or looking to take your skills to the next level, ACTE Technologies offers the resources and support you need to thrive in the world of Java programming.

So, with Java as your trusty companion, and ACTE Technologies as your guide, the possibilities are boundless. Your journey is just beginning, and the world of software development awaits your innovation and expertise. Best of luck on your path to mastering Java!

[nividawebsolutions]

Top 20 Backend Development Tools In 2023

Backend development plays a crucial role in the operation and performance optimisation of web and mobile applications, serving as their foundational framework. In the context of the dynamic technological environment, it is imperative for developers to remain abreast of the most recent and effective backend development technologies. In the year 2023, a plethora of advanced tools have surfaced, leading to a significant transformation in the approach to backend development. Reach out to Nivida Web Solutions - a noted Web development company in Vadodara and let's craft a website that sets you apart.

This analysis aims to examine the leading 20 backend development tools projected for the year 2023, which possess the potential to optimise operational effectiveness, raise work output, and achieve exceptional outcomes.

1. Node.js:

Node.js continues to be a prominent contender in the realm of backend development, offering a resilient framework for constructing scalable, server-side applications through the utilisation of JavaScript. The asynchronous and event-driven nature of the system renders it highly suitable for real-time applications and microservices.

2. Express.js:

Express.js is a Node.js framework that offers a basic and flexible approach to backend development. It achieves this by providing streamlined routing, efficient handling of HTTP requests, and effective management of middleware. The software possesses a high degree of extensibility, allowing developers to create tailored solutions.

3. Django:

Django, a renowned Python framework, is widely recognised for its exceptional performance, robust security measures, and remarkable scalability. The framework adheres to the "batteries-included" principle, providing a wide range of pre-installed functionalities and libraries that enhance the speed and efficiency of the development process.

4. Flask:

Flask, an additional Python framework, is characterised by its lightweight nature and user-friendly interface. The framework offers fundamental capabilities for backend development and enables developers to incorporate additional functionalities as required, thus rendering it very adaptable.

5. Spring Boot:

Spring Boot, which is built on the Java programming language, streamlines the process of creating applications that are ready for deployment by employing a convention-over-configuration methodology. The platform provides a variety of functionalities to construct resilient and scalable backend systems. Embark on a digital journey with Nivida Web Solutions - the most distinguished Web development company in Gujarat. Let's create a stunning, functional website tailored to your business!

6. Ruby on Rails:

Ruby on Rails, also referred to as Rails, is renowned for its high level of efficiency and user-friendly nature. The framework employs the Ruby programming language and places a strong emphasis on convention over configuration, facilitating expedited development processes.

7. ASP.NET Core:

ASP.NET Core is a highly adaptable and efficient cross-platform framework that facilitates the development of backend solutions through the utilisation of the C# programming language. The product provides exceptional performance, robust security measures, and effortless compatibility with many systems.

8. Laravel:

Laravel, a framework developed using the PHP programming language, is well-acknowledged for its sophisticated syntax and user-centric functionalities. The utilisation of this technology streamlines intricate operations such as authentication, caching, and routing, hence facilitating an expedited development procedure.

9. NestJS:

NestJS is a Node.js framework that adheres to the architectural patterns established by Angular, hence exhibiting a progressive nature. The software possesses a high degree of modularity, hence facilitating the scalability and maintenance of applications. NestJS places a strong emphasis on the principles of maintainability and testability.

10. RubyMine:

RubyMine is an influential integrated development environment (IDE) designed specifically for the purpose of facilitating Ruby on Rails development. The software provides advanced code assistance, navigation, and debugging functionalities, hence augmenting the efficiency of Ruby developers. Looking for a standout web presence? Let Nivida Web Solutions - the most popular Web development company in India craft a website that impresses. Reach out now and let's get started!

11. PyCharm:

PyCharm, an integrated development environment (IDE) designed specifically for the Python programming language, is extensively utilised in the realm of backend development. The software offers intelligent code completion, comprehensive code analysis, and integrated tools to facilitate fast development and debugging processes.

12. IntelliJ IDEA:

IntelliJ IDEA, a widely utilised integrated development environment (IDE), provides comprehensive support for multiple programming languages, encompassing Java, Kotlin, and many more. The software is renowned for its advanced coding assistance and efficient capabilities, which greatly assist backend developers in producing code of superior quality.

13. Visual Studio Code (VSCode):

VSCode is a code editor that is known for its lightweight nature and open-source nature. Due to its extensive extension library and high level of customizability, this platform is widely favoured by backend developers due to its versatile nature.

14. Postman

Postman is an efficient and powerful application programming interface (API) testing tool that streamlines the process of doing backend testing and facilitating communication among developers. This tool facilitates the efficient design, testing, and documentation of APIs, hence assuring a smooth integration process. Every click counts in the digital world. Partner with Nivida Web Solutions - one of the top  Web development companies in Vadodara to create a user-friendly, engaging website. Choose Nivida Web Solutions to boost your online impact!

15. Swagger:

Swagger, currently recognised as the OpenAPI Specification, serves to enable the process of designing, documenting, and evaluating APIs. The standardised structure of API description facilitates the seamless and uncomplicated integration process.

16. MongoDB:

MongoDB, a widely adopted NoSQL database, has notable advantages in terms of scalability, flexibility, and superior performance. Due to its capacity to effectively manage substantial quantities of data and accommodate various data models, it is extensively employed in the realm of backend development.

17. PostgreSQL:

PostgreSQL, an open-source relational database management system, is widely recognised for its robustness, adaptability, and comprehensive SQL capabilities. This option is highly recommended for projects that necessitate a resilient backend data repository.

18. Redis:

Redis is an essential component for caching and real-time analytics due to its ability to store data structures in memory. The indispensability of this technology lies in its high performance and its capability to effectively manage data structures, hence facilitating the optimisation of backend processes.

19. Kafka:

Apache Kafka is a distributed streaming platform that handles real-time data processing. It's commonly used for building scalable, fault-tolerant backend systems that require high-throughput data ingestion and processing. Dive into the digital era with a website that wows! Collaborate with Nivida Web Solutions - one of the leading Web development companies in Gujarat and boost your online presence.

20. Docker:

Docker is a containerization technology that facilitates the streamlined deployment and scalability of programs. The utilisation of containers enables backend developers to encapsulate their programmes and associated dependencies, hence ensuring uniformity and adaptability across diverse contexts.

Final Thoughts:

It is of utmost importance for developers to be updated on the most recent backend development technologies in order to effectively offer applications that are efficient, scalable, and safe. The compendium of the foremost 20 backend development tools projected for the year 2023 encompasses an extensive array of functions, adeptly accommodating the multifarious requirements of backend development endeavours. These technologies provide developers with the ability to enhance their backend development endeavours and provide users with outstanding experiences, whether through the creation of real-time applications, database management, or performance optimisation. Your website is your digital storefront. Make it appealing! Contact Nivida Web Solutions - one of the most renowned Web development companies in India and design a website that captivates your audience. Get started now!