Whilst it is possible to do most things with most languages, it is also a fact that certain languages have design features that are geared towards certain fields of operation.
Python was built on top of c++ and therefore uses many of the c++ core libraries. It could be considered to be a user friendlier version of c++. Python is a dynamically typed general purpose language for mathematics and data science. Its dynamic typing has parallels to node.js (Javascript).
Broadly speaking, Python takes a specific place in the tech stack.
C++ is a high-performance, compiled programming language that is widely used in the development of operating systems, libraries, and applications. It was developed in 1979 by Bjarne Stroustrup as an extension of the C programming language.
C++ is an object-oriented programming language, which means that it supports the creation and use of objects that represent real-world entities. It also supports procedural programming, which means that it can be used to write code that follows a series of steps to solve a problem.
C++ is a statically-typed language, which means that variables must be declared with a specific data type before they can be used. It also supports low-level operations, such as direct memory access and pointer arithmetic, which make it a powerful language for systems programming.
C++ is widely used in the development of operating systems, web browsers, and other applications that require high performance and low-level control. It is also commonly used in the development of games and other types of multimedia applications.
Python is a high-level, interpreted programming language that is widely used for web development, data science, scientific computing, and artificial intelligence. It is a general-purpose language, which means that it can be used to build virtually any type of software, from desktop applications to web servers and frameworks.
One of the main advantages of Python is its readability and simplicity. It uses indentation to indicate code blocks, rather than curly braces or keywords, which makes it easier to read and understand. It also has a large standard library, which means that many common programming tasks can be performed without the need for additional libraries.
Python is an interpreted language, which means that it is executed at runtime by an interpreter, rather than being compiled into machine code. This makes it easier to develop and debug, but it can also make it slower than compiled languages like C or C++.
Python is often used in the development of web applications, data analysis tools, scientific simulations, and artificial intelligence applications. It has a large and active developer community and a wealth of open-source libraries and frameworks that can be leveraged to build a wide variety of applications.
Node.js is an open-source, cross-platform JavaScript runtime environment that executes JavaScript code outside of a web browser. It is designed to build scalable network applications and is particularly useful for real-time web applications that require a high level of concurrency.
Node.js is built on top of the V8 JavaScript engine, the same engine that powers the Google Chrome web browser, and it allows developers to write JavaScript code that can run on the server side. This allows developers to use a single programming language for both the client-side and server-side of a web application, making it easier to build and maintain web applications.
Node.js is often used to build web servers, real-time chat applications, and other types of networked applications. It is also commonly used as a platform for building microservices, which are small, independent services that can be composed together to build larger applications.
Node.js has a large and active developer community and a wealth of open-source libraries and frameworks that can be leveraged to build a wide variety of applications.