python-training README

The project's README from github.com/jpmorganchase/python-training. As one markdown file: README.md.

Python Training

This Python training is for JPMorgan business analysts and traders, as well as select clients.

GitHub Contact

Overview

This course is designed to be an introduction to numerical computing and data visualization in Python. It is not designed to be a complete course in Computer Science or programming, but rather a motivational demonstration of how relatively complex topics can be accessible even to those without formal progamming backgrounds.

This training is designed to be conducted in-person, led by J.P. Morgan technologists and traders. For interested institutional clients, please contact your J.P. Morgan team.

Platform Attribution

This repository relies on the Binder project, which is generously supported by Google Cloud Platform, OVH, GESIS Notebooks and the Turing Institute.

Data Attribution

References to IEX Cloud, Alpha Vantage, or any other third-party platform, product, data, or API provider in this repository is for illustrative and educational purposes only, and should not be construed as an endorsement of that product or company by J.P. Morgan Chase & Co. or its affiliates.

License

This software is licensed under the Apache 2.0 license. See the LICENSE file for details.

python-training (jpmorganchase/python-training)

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What is this?This is a hands-on Python training course built by J.P. Morgan for business analysts, traders, and select institutional clients. It teaches numerical computing and data visualization in Python through a series of Jupyter notebooks rather than being a full computer-science curriculum.
Is this a coding library or a set of lessons?It is a self-contained course delivered as Jupyter notebooks meant to be run and explored interactively, not an installable package or framework.
How do I actually run the notebooks?Launch the repo on Binder - a free hosted JupyterLab service backed by Google Cloud, OVH, GESIS and the Turing Institute - to run everything in your browser with nothing installed, or clone the repo and open the notebooks with your own Jupyter/JupyterLab.
Do I need to set up my own API keys?Most notebooks only need Python/Jupyter, but the financial-data notebook now pulls from Alpha Vantage's API (replacing the discontinued IEX Cloud), so you need to add your own API key via a .env file as shown in .env.example.
Is this meant for self-study, or do I need a teacher?It's built to be taught in-person by J.P. Morgan technologists and traders, so studying it alone means missing the live-session context, and it's explicitly not a complete programming or CS course.
Who is this course actually for?It's aimed at J.P. Morgan's own business analysts and traders plus select institutional clients who want an accessible, non-technical path into Python rather than career programmers.
What kind of data do the notebooks work with?Financial market data comes from Alpha Vantage's API (after IEX Cloud was discontinued in August 2024), while airport and flight-route data comes from OpenFlights.org, giving learners real finance and travel datasets to practice on.
Does using IEX Cloud or Alpha Vantage mean J.P. Morgan endorses them?No - the README explicitly says any references to these third-party data providers are for illustrative and educational purposes only, not an endorsement by J.P. Morgan Chase.
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CommitAug 24
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Commits · 90 Days