Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Python’s development team chose defaults that reflect the most common real-world scenarios. But if you do need to tweak the way garbage collection works, you can use Python’s gc module .