A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…

this repository accompanies the book "Grokking Deep Learning"

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

Text and supporting code for Think Stats, 2nd Edition

Python code for YouTube videos.

Python Deep Dive Course - Accompanying Materials