Documentation is key for a project survival

MapReduce is a data processing job which splits the input data into independent chunks, which are then processed by the map function and…

A fast, efficient universal vector embedding utility package. - plasticityai/magnitude

A tool (and pre-commit hook) to automatically upgrade syntax for newer versions of the language. - asottile/pyupgrade

If a web request is stretching into seconds, 99% of the time the database isn’t being used correctly. When using the ORM, its natural to…

Master pandas with 101 hands-on exercises across 3 difficulty levels. Practice data manipulation, filtering, grouping, and more to sharpen your Python data analysis skills.

Over the past three years, LWN and its readers have gotten a yearly treat
in the form of coverage of the Python
Language Summit; this year is no exception. The summit is a yearly
gathering of around 40 or 50 developers from CPython, other Python
implementations…

PyNaiveChain is a ToyPython BlockChain Implementation. While it is not a full scale production blockchain it has all the features that would be required of a BlockChain system and it easy to understand(and extend)....

Talk Python To Me is a podcast for developers who are passionate about Python. Learn about the language and related technologies.

Learn the basics of Elasticsearch, its setup, and implementation in Python.

Temporal-Difference Learning (or TD Learning) is quite important and novel thing around. It’s the first time where you can really see some patterns emerging and everything is building upon a …

Discover Python Sets. Understand the difference between sets vs lists. Find Python set operations and code examples today!

How to automatically create machine learning features

Reference implementations of popular deep learning models. - keras-team/keras-applications

Utilities for working with image data, text data, and sequence data. - keras-team/keras-preprocessing

Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs - idealo/nvidia-docker-keras

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks - GitHub - IntelLabs/nlp-architect: A model library...