Skip to content

ax-va/NumPy-Pandas-Matplotlib-Scikit-Learn-VanderPlas-2023

View on GitHub ↗Related repositories →

These examples provide an introduction to Data Science and classic Machine Learning using NumPy, Pandas, Matplotlib, and Scikit-learn. They are taken, with some changes, from the book "Python Data Science Handbook: Essential Tools for Working with Data", Second Edition, written by Jake VanderPlas and published by O'Reilly in 2023.

active 2023-08-15 → 2025-02-25 (UTC)

Complete coverage27,646 / 27,646 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-09 (UTC)
Events
93
Pushes
91
Pull requests
0
Issues
0
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 561 days from 2023-08-15 to 2025-02-25. Pushes: 91 total, peak 14 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
ax-va919100

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.