jpmorganchase / python-training
Python training for business analysts and traders
AI Architecture Analysis
This repository is indexed by RepoMind. By analyzing jpmorganchase/python-training in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Embed this Badge
Showcase RepoMind's analysis directly in your repository's README.
Repository Summary (README)
PreviewPython Training
This Python training is for JPMorgan business analysts and traders, as well as select clients.
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
- Financial data provided by IEX Cloud
- Airport and route data provided by OpenFlights.org
License
This software is licensed under the Apache 2 license. See the LICENSE file for details.