IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

Python notebooks for Numerical Analysis

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

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

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

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance

Collection of notebooks about quantitative finance, with interactive python code.

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

The "Python Machine Learning (2nd edition)" book code repository and info resource

Machine Learning in Finance: From Theory to Practice Book

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Credit-Risk Modelling Libraries

Hands on Markov Models with Python, published by Packt

Hands-On Financial Trading with Python, published by Packt

Machine Learning for Time-Series with Python.Published by Packt