Python is a popular high-level, interpreted functional programming language. It is used in a wide variety of industries, from website development and teaching the basics of programming, to building models for machine learning and the Internet of things.

JavaScript is without a doubt the most popular programming language. All sites that use at least some functionality to interact with the user are written on it. In addition, with the advent of the NodeJS environment, it began to be used for backend development tasks.

It is an open source JavaScript library for developing web user interfaces. React was created and maintained by Facebook staff. It can be used to develop single page and mobile applications. Applications built using this library provide high speed, simplicity, and scalability.

It is a framework for building web applications in Python using the MVC design pattern. Modular architecture, with the ability to transfer them between projects, configuring url using regular expressions, detailed documentation and a large community, made this Django the most popular Python Web framework.

It is a markup language for the structured presentation of web sites. The goal of HTML5 is to improve the level of support for multimedia technologies while maintaining backward compatibility, human readability and ease of analysis. HTML5 introduces many new syntactic features. For example, the video, audio and canvas elements, as well as the ability to use SVG and mathematical formulas.

CSS3 (Cascading Style Sheets 3) - cascading style sheets of the third generation. It's a set of formal style rules implemented using a markup language. The main feature of CSS3 is the ability to create animated elements without using JS, as well as: support for linear and radial gradients, shadows, anti-aliasing and more. It is primarily used as a means of describing and styling the appearance of web pages written using HTML and XHTML markup languages, but can also be applied to any XML document.

It is an open source software library developed by Google for creating, training and optimizing Deep Learning models. Networks built with this library are used to automate the finding and classification of images in pictures and videos, recognition and generation of human speech, time series prediction, text generation and many other tasks.