JAY KUMAR

Full-stack developers are people who work on technologies in multiple domains. The web developer will work effectively across multiple technologies through web developments with high excellence experience. Instead of having different teams of experts on the database, front-end, and back-end, it is much more efficient to manage each application at all levels with the best customer coordination. Full Stack development takes ownership of the entire project and implements the site-appropriate process. Full Stack development requires everything the website might be able to easily work on the project to a great extent. The Full-Stack development team brings all the inside to bring the complete solution for web development. Development of the entire stack is primarily involved in all phases of seed ideas based on actual product distribution. The professional developer is mainly suitable for competent employment stability in the design, development, testing and many other processes satisfied a...

  Every day something new happens in the programming world. Therefore, leaders of their respective crafts prefer to keep the community updated through blogs, websites, and newspapers. As the world moves towards an era where people are more connected than ever, staying updated is essential to survive and thrive. There appears to be a large number of resources that facilitate learning Java. However, not all of them can serve their purposes very well. Hence, it is quite challenging to choose the best ones from the herd. Not to worry, as we'll help you know some of the best ones to stay ahead of. BTW, don't get confused between Java and JavaScript.  1. Inside java : Inside Java is not a regular type of blog to learn new stuff related to Java. This is a separate blog dedicated to sharing news and thoughts on Java. All news and views will be loaded from Oracle's Java team. All posts in the blog are related to the latest Java news and thoughts from members of the Java team at Ora...

  Welcome your friends back with a new blog on future career guides for full-stack Java developers . This little blog will be a future career guide, especially for those who are new to this (newer) field or thinking of jumping into this (aspiring) field of Full Stack Java Developer. The Java programming language has been one of the most widely used and trusted languages ​​among programmers. Even 25 years after its origin, Java is considered by developers to be the most dominant language for web and application development, therefore many full-stack developers choose to work with Java as the dominant language. Read More: WILL MACHINE LEARNING BE A GOOD CAREER IN 2022? Here is a quick guide that can give you some insight into a career as a  Full Stack Java Developer.  FullStack Developer: Fullstack developers work on full-stack technologies in the three levels of front-end development, backend development, and database. These developers usually work on the product suite spe...

  The faster the tech world changes, the faster the technology changes, and so do the tech jobs. Gone are the days when you could get a job just by knowing a technology or programming language, and somehow survive in the position for many years without learning new things. Many of us enter the world of programming and web development by knowing just a technology or two like Java , C++, or JavaScript, but it won't cut the ice anymore. There were teams of tens of people performing specialized tasks such that front-end development is performed by a separate set of developers and back-end is written by another set of programmers, commonly known as server-side developers. If you look at the job description for any Full Stack Software Engineer job on Internet-based companies, you will find that from a Full-Stack Software Engineer to Front-end like ES-next, Babel, React, Redux, Bootstrap Knowing the techniques is expected. LESS, etc., and back-end skills such as Python, Django, Graphene (...

  A programming language is a set of commands, instructions, and code for designing a software program. Programming languages ​​used by developers are integral to software development, and that is why they cannot be ignored. Choosing between different programming languages ​​is often a difficult task for developers, let alone choosing between two industry leaders. Are you also facing one of those dilemmas? This article is a developer's one-stop-shop for a list of features they should consider when deciding between Java and Python. Both Java and Python are at war for the top spot. Python is constantly improving, while Java is used in significant organizations. Both the languages do their job well, but some subtle features set them apart. In this Java vs Python tutorial, you will differentiate between Java and Python. java vs python JAVA: Java is a high-level programming language similar to C++, but it is strictly a program-oriented language. It was created with the intention of a w...

In today's industry, AI and machine learning are considered to be the cornerstone of technological change. Enterprises have become more intelligent and efficient as a result of incorporating machine learning algorithms into their operations. The advancement of deep learning has attracted the attention of industry experts and IT companies as the next paradigm shift in computing is underway. Deep learning techniques are now widely used in various businesses around the world. The deep learning revolution focused on artificial neural networks. Experts believe that the advent of machine learning and related technologies has reduced the overall error rate and increased the effectiveness of networks for specific tasks. Self-supervised learning: Even though deep learning has flourished in a variety of industries, one limitation of the technology has always been its reliance on large amounts of data and computer power. Unsupervised learning is a promising new technique in deep learning, in...

  Healthcare organizations of all sizes, types, and specialties are becoming increasingly interested in how artificial intelligence can support better patient care while reducing costs and improving efficiency. In a relatively short period of time, the availability and sophistication of AI have exploded, leaving providers, payers, and other stakeholders with a dizzying array of tools, technologies, and strategies to choose from. Learning just the language has been a major challenge for many organizations. There are subtle but important differences between key terms such as AI, Machine Learning, Deep Learning, and Semantic Computing. Understanding how data is ingested, analyzed, and returned to the end-user can have a major impact on expectations for accuracy and reliability, not necessarily affecting any investment required to shape an organization's data assets. to mention In order to choose efficiently and effectively between vendor products or to hire the right data science staf...