Installing Python and creating Virtual Environments

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today.

Python has become one of the most popular programming languages in the world in recent years. It’s used in everything from machine learning to building websites and software testing. It can be used by developers and non-developers alike.

Python, one of the most popular programming languages in the world, has created everything from Netflix’s recommendation algorithm to the software that controls self-driving cars. Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done.

A virtual environment is simply a tool that separates the dependencies of different projects by creating a separate isolated environment for each project.

Python has various modules and packages for different applications. During our project, it may require a third-party library, which we install. Another project also uses the same directory for retrieval and storage but doesn’t require any other third-party packages.

So, the virtual environment can come into play and make a separate isolated environment for both projects, and each project can store and retrieve packages from their specific environment.