This guide explores what Python is used for, how it compares to other programming languages and developer resources for building skills in Python. With over 10.1 million developers using Python, the ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

Look to these free tools to ensure that your Python code complies with recommended Python coding conventions and code quality standards In theory, any Python code is OK as long as it’s syntactically ...

A few months ago, I had a discussion with some friends online. The premise of the discussion was that even if you account for complexity, shorter code is more likely to be bug-free code. As a C ...

We recommend installing Python using Anaconda, which additionally provides easy access to a wealth of python libraries and tools. Python can be downloaded or all operating systems. We recommend that ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Python is best thought of as a dynamic but strongly typed language. Types aren’t associated with the names of things, but with the things themselves. This makes Python flexible and convenient for ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...