Learn how to get Python up and running on Windows, macOS, or Linux—and avoid the biggest pitfalls along the way. Python is easy to use, friendly to the beginner, and powerful enough to create robust ...

Modern Python developers use virtual environments (venvs), to keep their projects and dependencies separate. Managing project dependencies gets more complex as the number of dependencies grows.

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

NumPy (Numerical Python) is an open-source library for the Python programming language. It is used for scientific computing and working with arrays. Apart from its multidimensional array object, it ...