The Python world has been fractured a few times before. The infamous transition from version 2 to version 3 still affects people today, and there could be a new schism in the future. [Sam Gross] pr… ...

But several projects refuse to ditch all that’s good about Python and instead have decided to boost its performance from the inside out.

Github pulled data on the top AI repositories on-platform. The most popular programming language was Python, and TensorFlow topped the list of projects.

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...

Dask: Parallelizes Python data science libraries such as NumPy, Pandas, and Scikit-learn. Dispy: Executes computations in parallel across multiple processors or machines.

Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

Python simplifies coding with easy syntax, built-in tools, and real-world applications.Mastering basics like loops, functions ...