Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.

Python’s built-in data structures—like lists, tuples, sets, and dictionaries—are the backbone of efficient, readable, and scalable code. Knowing when and how to use each can drastically improve ...

Introducing Anaconda, a Python distribution for scientific research. I've looked at several ways you could use Python to do scientific calculations in the past, but I've never actually covered how to ...