jpmorganchase/python-training

Python training for business analysts and traders

View on GitHub ↗Jump to charts ↓Open shareable report

Summary Information

Updated 21 minutes ago
Added to GitGenius on September 4th, 2026
Created on July 25th, 2019
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 2,261
Total Stargazers: 14,074 (+0)
Total Subscribers: 337 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.3 hours
Mean response time: 10.7 hours
90th percentile: 13.2 hours
Tracked items: 4

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

No label distribution available yet.

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

Python Training is a Jupyter Notebook-based educational course designed to introduce numerical computing and data visualization in Python to business analysts, traders, and select institutional clients of JPMorgan Chase.

The course addresses the challenge of making complex computational topics accessible to people without formal programming backgrounds. It uses Jupyter notebooks as the delivery mechanism, allowing participants to run code interactively and see results immediately. The training is structured as an in-person program led by JPMorgan technologists and traders, combining practical demonstrations with motivational examples drawn from finance and business contexts.

This material suits organizations seeking to upskill business and trading teams in Python fundamentals rather than comprehensive computer science education. The course relies on Binder for cloud-based notebook execution, eliminating local setup requirements. Financial data comes from Alpha Vantage, with additional datasets including airport and route information from OpenFlights. The training is primarily intended for JPMorgan's internal teams and institutional clients, though the repository is publicly available.

The project maintains active engagement with its data dependencies, having migrated from a discontinued financial data provider to an alternative API and updated configuration examples accordingly. Development activity shows responsiveness to external service changes and attention to keeping educational materials current with available data sources.