The best parallel processing libraries for Python Ray: Parallelizes and distributes AI and machine learning workloads across CPUs, machines, and GPUs.

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

For example, four packages (diango, djago, dajngo, djanga) were misspellings of Django, the name of a very popular Python framework.

The Causal Models library, a Python and R framework, which uses PyArrow and RPy2, and allows scientists to contribute new models for causal inference.

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.