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What are the key features of React.js? What is React? React is a JavaScript library created for building fast and interactive user interfaces for web and mobile applications. It is an open-source, component-based, front-end library responsible only for the application’s view layer. In Model View Controller (MVC) architecture, the view layer is responsible for how the app looks and feels. React was created by Jordan Walke, a software engineer at Facebook.  Fig: MVC architecture Let’s take a look at an Instagram webpage example, entirely built using React, to get a better understanding of how React works. As the illustration shows, React divides the UI into multiple components, which makes the code easier to debug. This way, each component has its property and function. Fig: Instagram Components Now that we know what React is let’s move on and see why React is the most popular front-end library for web application development. Why React? React’s popularity today has eclipsed ...

What are the key features of D3.js? What is D3.js? D3.js is a JavaScript library used to create interactive visualizations in the browser. The D3.js library allows us to manipulate elements of a webpage in the context of a data set. These elements can be HTML, SVG, or Canvas elements and can be introduced, removed, or edited according to the contents of the data set. It is a library for manipulating the DOM objects. D3.js can be a valuable aid in data exploration, it gives you control over your data's representation and lets you add interactivity. Why Do We Need D3.js? D3.js is one of the premier frameworks when compared to other libraries. This is because it works on the web and its data visualizations are par excellence. Another reason it has worked so well is owing to its flexibility. Since it works seamlessly with the existing web technologies and can manipulate any part of the document object model, it is as flexible as the Client-Side Web Technology Stack (HTML, CSS, a...

JavaScript Jobs: Interview Questions What are the key features of JavaScript? JavaScript language consists of several different features. Some of the general JavaScript features are as follows – Validating User’s Input JavaScript is very useful while using forms. It has the capability to validate user input for errors and also saves time. If the user leaves a required field empty or the information is incorrect, JavaScript checks for them before sending the data over to the server. Simple Client-side Calculations Since JavaScript is a client-side technology, it can perform basic calculations on the browser. The browser does not need to ask server time for every task. This is especially helpful when a user needs to perform these calculations repeatedly. In these cases, connecting to the server would take a lot more time than performing the actual calculations. Greater Control JavaScript provides greater control to the browser rather than being completely dependent on the web...

TypeScript Jobs: Interview Questions  What are the key features of TypeScript? TypeScript is just JavaScript. TypeScript starts with JavaScript and ends with JavaScript. Typescript adopts the basic building blocks of your program from JavaScript. Hence, you only need to know JavaScript to use TypeScript. All TypeScript code is converted into its JavaScript equivalent for the purpose of execution. TypeScript supports other JS libraries. Compiled TypeScript can be consumed from any JavaScript code. TypeScript-generated JavaScript can reuse all of the existing JavaScript frameworks, tools, and libraries. JavaScript is TypeScript. This means that any valid .js file can be renamed to .ts and compiled with other TypeScript files. TypeScript is portable. TypeScript is portable across browsers, devices, and operating systems. It can run on any environment that JavaScript runs on. Unlike its counterparts, TypeScript doesn’t need a dedicated VM or a specific runtime environment to exec...

PyTorch Jobs: Interview Questions What are the key features of PyTorch? PyTorch provides two high-level features: Tensor computing (like NumPy) with strong acceleration via graphics processing units (GPU) Deep neural networks built on a tape-based automatic differentiation system. PyTorch enables fast, flexible experimentation and efficient production through a user-friendly front-end, distributed training, and ecosystem of tools and libraries. What is PyTorch? PyTorch offers fast, supple experimentation in addition to well-organized production through a cross front-end, dispersed training, and system of tools besides libraries. Most developed python libraries have the scope of changing the field of deep learning. PyTorch is a brainchild of Facebook’s artificial intelligence research group. It is an open-source package for python, which entitles neural network exchange with a primary focus on deep machine learning. Before digging very deep into the method of programming, let me give cl...

Selenium Jobs: Interview Questions What are the key features of Selenium? Open Source and Portable – Selenium is an open-source and portable Web testing Framework. Combination of tools and DSL – Selenium is a combination of tools and DSL (Domain Specific Language) in order to carry out various types of tests. Easier to understand and implement – Selenium commands are categorized in terms of different classes which make it easier to understand and implement. Reduce test execution time – Selenium supports parallel test execution that reduces the time taken in executing parallel tests. Lesser resources required – Selenium requires lesser resources when compared to its competitors like UFT, RFT, etc. Supports Multiple Programming Languages – C#, Java, Python, PHP, Ruby, Perl, and JavaScript Supports Multiple Operating Systems – Android, iOS, Windows, Linux, Mac, Solaris. Supports Multiple Browsers – Google Chrome, Mozilla Firefox, Internet Explorer, Edge, Opera, Safari, etc. Parallel Test ...

TensorFlow Jobs: Interview Questions What are the key features of TensorFlow? Efficiently works with mathematical expressions involving multi-dimensional arrays Good support of deep neural networks and machine learning concepts GPU/CPU computing where the same code can be executed on both architectures High scalability of computation across machines and huge data sets How to Install? We will be using the TensorFlow Python API, which works with Python 2.7 and Python 3.3+. The GPU version (Linux only) requires the Cuda Toolkit 7.0+ and cuDNN v2+. We shall use the Conda package dependency management system to install TensorFlow. Conda allows us to separate multiple environments on a machine. The Python version installed inside this environment is 2.7, and we will use this version in this article. conda create --name TensorflowEnv biopython To make things easy, we are installing python here instead of just NumPy. This includes NumPy and a few other packages that we will be n...