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LinkedInLearning/python-for-data-science-and-machine-learning-essential-training-part-1-3006708

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learning about how to use python for data science

Jupyter Notebook · active 2024-03-12 → 2026-09-11 (UTC)

Complete coverage27,936 / 27,936 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-21 (UTC)
Events
419
Pushes
3
Pull requests
10
Issues
3
Stars
99
Forks
296

Activity over time

Daily event counts in the loaded window

Line chart, 914 days from 2024-03-12 to 2026-09-11. Pushes: 3 total, peak 1 in a day. Pull requests: 10 total, peak 4 in a day. Issues: 3 total, peak 2 in a day. Comments: 6 total, peak 3 in a day. Stars: 99 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
vim123457043
s-earnest3021
dmartinol2000
tanzimtipu2011
LillianPierson2200
gbaghumyan1000
shap00111010
mkgsmith1000
smoser-LiL1100
pavelghosh1001
vinayakvj1010
bla1ne1010

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 99 stars here means stars gained during the window, not the repo's star count.