Environment setup

When working with Python libraries, it is essential to set up a working environment properly. There are a lot of dependencies, including the Python language version and the binaries that are available in the system; all of these must be aligned and have compatible versions. As a result of this process, the conflicting configurations of libraries and language versions can be easily created, adding to the frustration and hours of debugging and bug fixes. To solve this problem, the concept of the virtual environment was introduced in the Python programming language. A virtual environment allows us to create isolated Python environments that contain all the necessary dependencies and executables that are used in a particular Python project. Such a virtual environment can be easily created and deleted after it is no longer needed, without leaving any remains in the...