PyQuant News 🐍
PyQuant News 🐍

@pyquantnews

13 Tweets 1 reads Feb 22, 2023
My professors taught me MATLAB during my master's degree.
So I studied 76,948 Python code repositories to teach myself Python.
99.9% of them were a complete waste of time.
But these 9 are worth more than a $90,000 master's degree:
Notebooks that replicate original quantitative finance papers from Emanuel Derman.
github.com
Many Jupyter Notebooks to verify theoretical ideas and practical methods of quantitative finance interactively.
github.com
Educational notebooks on quantitative finance, algorithmic trading, financial modeling, and investment strategy.
github.com
Lecture series on economics, finance, econometrics, and data science.
quantecon.org
A community-driven set of Python resources for quantitative finance.
github.com
A library to price financial options using closed-form solutions written in Python.
github.com
Deep learning and machine learning frameworks to get started tradings stocks.
github.com
Examples of code related to Rob Carver's book Systematic Trading and blog.
github.com
Examples using pysystemtrade.
github.com
TL;DR:
• Rob Carver
• Lecture series
• Deep learning
• Pricing options
• Practical quant
• Derman papers
• More Rob Carver
• Educational quant
• Community resources
There's enough here to keep you busy for 3 semesters!
To keep it all handy, click the link below and retweet the top tweet.
A structured experience with the right steps to save time and apply what you learn.
Go from beginner to up and running with Python in 30 days.
• Community
• Live sessions
• Special guests
• Code templates
Enrollment is open (with limited spots).
gettingstartedwithpythonforquantfinance.com

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