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Get started with Python for quant finance: https://gettingstartedwithpythonforquantfinance.com/
volatility-trading. A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
1.9kcovshrink. Python implementation of a sample covariance matrix shrinkage experiment
32python-cheatsheet. Comprehensive Python Cheatsheet
11optionslib. Python
11lead-genius-plugin. AI-powered lead generation plugin for Claude Code and Claude Cowork
10High-Frequency-Trading-Model-with-IB. A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
9algorithm-component-library. A collection of code snippets that can be constructed into larger trading algorithms.
7quant-stack. Shell
4jasonstrimpel.github.io. Jason's tech blog
4tensorflow-workshop. Slides and code from our TensorFlow Workshop.
3Fourth-Moment. Code featured on the Fourth Moment blog
3webassets. Asset management for Python web development.
2ibswigsystematicexamples. Automatically exported from code.google.com/p/ibswigsystematicexamples
2quantlib-python-on-vagrant. Vagrantfile to setup QuantLib for Python
2slate. Beautiful static documentation for your API
1kubernetes-the-hard-way. Bootstrap Kubernetes the hard way. No scripts.
1py2neo. Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.
1og-aws. 📙 Amazon Web Services — a practical guide
1pandas-datareader. HTML
1datasciencecoursera.
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