# JPMorgan Chase Python Training for Business Analysts & Traders  
(Forked & Personalized from https://github.com/jpmorganchase/python-training)

Completed this official JPMC training to build Python skills for numerical computing, data visualization, and finance/business applications.

## My Work & Additions
- Ran all key notebooks in Google Colab (no local setup required).
- Personalized modifications:
  - Added extra comments/explanations for self-study.
  - Extended examples (e.g., varied volatility in straddle payoff diagrams, alternative plot styles).
  - Experimented with small tweaks for better understanding (e.g., different parameters or data subsets).
- Tied to my portfolio: Complements my EDA reimplementation, fraud anomaly detection, and optimization projects — building toward data/business analyst skills in finance contexts.

## Key Notebooks Completed
- Intro to numerical computing & arrays.
- Straddle payoff visualization (financial options example).
- Other plotting & viz demos.

## Why This Training?
- Directly relevant to JPMorgan's analyst roles (data handling, quick insights, financial viz).
- Shows proactive learning of Python for business/finance use cases.

Original repo: https://github.com/jpmorganchase/python-training  
My main GitHub: https://github.com/S33mi  
Fun side: @Seemi_Rauf on X

Feel free to star, fork, or reach out for discussions! 🚀


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

![GitHub](https://img.shields.io/github/license/jpmorganchase/python-training?style=flat-square)
[![Contact](https://img.shields.io/badge/Contact-Email-lightgrey?style=flat-square)](mailto:open_source@jpmorgan.com)


## 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.

[![](https://img.shields.io/badge/Launch-Cloud%20Instance-brightgreen?style=for-the-badge)](http://mybinder.org/v2/gh/jpmorganchase/python-training/main?urlpath=lab)

## Platform Attribution
This repository relies on the [Binder](https://mybinder.readthedocs.io/en/latest/about.html) project, which is generously supported by [Google Cloud Platform](https://cloud.google.com/), [OVH](https://www.ovh.com/world/), [GESIS Notebooks](https://notebooks.gesis.org) and the [Turing Institute](https://www.turing.ac.uk).


## Data Attribution

- Financial data provided by [IEX Cloud](https://iexcloud.io)
- Airport and route data provided by [OpenFlights.org](https://openflights.org/data.html#license)


## License
This software is licensed under the Apache 2 license. See the [LICENSE](LICENSE) file for details.