Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

It is possible to use generic Python objects as the dtype for a NumPy array, but if you do this, you’ll get no better performance with NumPy than you would with Python generally.

There are many ways to boost Python application performance. Here are 10 hard-core coding tips for faster Python.

Arrays are super useful. If you want even more details about python and arrays - this is a very useful site from Cornell. My python-foo will probably never catch up with The Virtuosi.

Arrays in Python differ from other programming languages as it uses lists instead of arrays. Python 'lists' are more flexible than arrays as they can contain different data types and their length ...