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Pandas Cookbook, published by Packt
The agent that grows with you
A list of (almost) all headless web browsers in existence
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
A Python-based web and data scraping tutorial
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Scrapy, a fast high-level web crawling & scraping framework for Python.
Extracts browser-stored data such as refresh tokens, cookies, saved credentials, credit cards, autofill entries, browsing history, and bookmarks from modern Chromium-based and Gecko-based browsers …
Interactive dashboard analyzing socioeconomic indicators across European countries
A collection of (mostly) technical things every software developer should know about
Analysis and datasets about football (soccer)
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML…
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.
VIM Master: in-browser game that teaches core Vim motions and editing commands through short, focused levels.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
scikit-learn: machine learning in Python
Hunt down social media accounts by username across social networks
Apache Superset is a Data Visualization and Data Exploration Platform
The Python micro framework for building web applications.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The Web framework for perfectionists with deadlines.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
The definitive list that answers "I want to do X in Python, which tool should I use?"