Skip to content

xtreamsrl/python-for-data-science

View on GitHub ↗Related repositories →

A class to learn how to use sqlalchemy, polars, streamlit, and more.

active 2024-10-122024-12-03 (UTC)

Complete coverage26,734 / 26,734 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
31
Pushes
4
Pull requests
7
Issues
0
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 53 days from 2024-10-12 to 2024-12-03. Pushes: 4 total, peak 1 in a day. Pull requests: 7 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 8 total, peak 8 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
donlelef13226
baggiponte11252

Recent activity

Latest issues, pull requests and releases

  • Pull request#8baggiponte2024-12-01 18:22
  • Pull request#7baggiponte2024-11-19 08:08
  • Pull request#7baggiponte2024-11-19 08:08
  • Pull request#6baggiponte2024-11-05 12:31
  • Pull request#5baggiponte2024-10-14 10:41
  • Pull request#4donlelef2024-10-12 15:06
  • Pull request#4donlelef2024-10-12 15:06

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.