Learn how to extract data from the web with Beautiful Soup, manipulate and clean data using Python's Pandas library, and data visualization using Python's Matplotlib library.

Jupyter Notebook Kernel for running Ansible Tasks and Playbooks - ansible/ansible-jupyter-kernel

Jupyter notebooks for teaching/learning Python 3. Contribute to jerry-git/learn-python3 development by creating an account on GitHub.

Strokes is a project meant to help you learn Chinese characters. - GitHub - d33tah/strokes: Strokes is a project meant to help you learn Chinese characters.

This package is deprecated - use Import Linter instead. - seddonym/layer_linter

Serialization / De-serialization support for the SQLAlchemy Declarative ORM - GitHub - insightindustry/sqlathanor: Serialization / De-serialization support for the SQLAlchemy Declarative ORM

Caffe: a fast open framework for deep learning. Contribute to BVLC/caffe development by creating an account on GitHub.

A flexible framework of neural networks for deep learning - chainer/chainer

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware - NervanaSystems/neon

What is it about pandas that has data scientists, analysts, and engineers raving? This is a guide to using pandas Pythonically to get the most out of its powerful and easy-to-use built-in features. Additionally, you will learn a couple of practical time-saving…

I run a local website for Algerian students to find their documents online, a major issue I ran into is that, a lot of these documents were…

And its inventor has just stepped down | Science & technology

How to deploy a Django Application on kubernetes in production mode - Best Practices

You will learn how to perform simple object tracking using OpenCV, Python, and the centroid tracking algorithm used to track objects in real-time.

By Sara Robinson, Aakanksha Chowdhery, and Jonathan Huang

In this post, you will learn how to create a Celery task inside a Django project in a Docker container. Sounds awesome, right?

A complete guide to documenting Python code. Whether you're documenting a small script or a large project, whether you're a beginner or seasoned Pythonista, this guide will cover everything you need to know.