Quantitative research and educational materials
More on the Quantopian Lecture Series at quantopian.com/lectures
Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
Quantitative analysis, strategies and backtests
Portfolio and risk analytics in Python
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
Python for Finance (O'Reilly)
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement ...
Lectures on scientific computing with python, as IPython notebooks.
JupyterLab computational environment.
Talk Materials for "Convex Optimization for Finance"
Materials for the Princeton Quant Trading Conference Chicago 2018 workshop
AI实战-practicalAI 中文版
[WIP] Learning resources and practical tips on how to use Jupyter notebooks for fun & profit.
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