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Education Advisory Committee
- ACM India Representative
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Abhiram Ranade
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R.
Venkatesh
- Member
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Diana Burley
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Thomas
Cortina
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Leigh Ann
Delyser
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Judith
Gal-Ezer
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Christina
Gardner-Mccune
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Michael
Goldweber
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Steven
Gordon
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Alvaro
Monge
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Fay Cobb
Payton
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Chris
Piech
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Susan
Reiser
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Robert
Schnabel
- Lisa Smith
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Olivier
St-Cyr
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Peter
Thiemann
- Jodi Tims
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Cindy
Tucker
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Ellen
Walker
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Andrew
Williams
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Pat
Yongpradit
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Stuart
Zweben
- CSAB Representative
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Paul Leidig
- Chair, Committee for Computing Education in Community Colleges
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Cara Tang
- Headquarters Liaison
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Yan Timanovsky
- Advisor
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Alison Clear
- ACM China Representative
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Ming Zhang
- SIGCSE Representative
- Mary Anne Egan
- Brazilian Computing Society (SBC) Representative
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Itana Gimenes
Learning Resource
Learning Path: Hands-On Algorithmic Trading with Python
Learn how to use the Pandas library to import, analyze, and visualize data from economic, market, fundamental, and alternative sources available for free on the web; design and automate your own specific investment and trading strategies in Python; backtest and evaluate the performance of your strategies using the vectorized backtesting; prepare for competitions by crowd-sourced hedge funds to fund your algorithmic trading strategies.
You should have basic experience trading and investing in equities and basic knowledge of Python and Pandas DataFrames.
