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D-Lab's 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas functions.

active 2024-08-222026-06-02 (UTC)

Partial coverage15,538 / 19,210 hourly files (81%) · 2 absent upstream · 3,671 failed, retryable2024-06-022026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
43
Pushes
8
Pull requests
0
Issues
15
Stars
3
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 650 days from 2024-08-22 to 2026-06-02. Pushes: 8 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 15 total, peak 12 in a day. Comments: 11 total, peak 11 in a day. Stars: 3 total, peak 1 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
tomvannuenen328011
ruijis1000
vhollingshead1000

Recent activity

Latest issues, pull requests and releases

  • Issue#18vhollingshead2025-06-11 23:45
    Column name change to "count" instead of "unemployment rate"
  • Issue#8tomvannuenen2024-09-30 20:33
    Splitting the workshop into two sessions
  • Issue#17ruijis2024-09-27 18:43
    maybe drop the merge part or put it at the end
  • Issue#16tomvannuenen2024-08-29 23:04
    Solutions included in notebook 01
  • Issue comment#15tomvannuenen2024-08-29 23:04
    Notebook 01 - Challenge Solutions Visible
  • Issue#15tomvannuenen2024-08-29 23:04
    Notebook 01 - Challenge Solutions Visible
  • Issue comment#14tomvannuenen2024-08-29 23:04
    Simple grouping example in 02_python_data_wrangling notebook
  • Issue#14tomvannuenen2024-08-29 23:04
    Simple grouping example in 02_python_data_wrangling notebook
  • Issue comment#13tomvannuenen2024-08-29 23:01
    example with dropna in 02_python_data_wrangling
  • Issue#13tomvannuenen2024-08-29 23:01
    example with dropna in 02_python_data_wrangling
  • Issue comment#12tomvannuenen2024-08-29 23:01
    Example: find countries outside the EU in 01_python_data_wrangling
  • Issue#12tomvannuenen2024-08-29 23:01
    Example: find countries outside the EU in 01_python_data_wrangling
  • Issue comment#11tomvannuenen2024-08-29 22:56
    Demo: Boolean indexing in 01_python_data_wrangling
  • Issue#11tomvannuenen2024-08-29 22:56
    Demo: Boolean indexing in 01_python_data_wrangling
  • Issue comment#10tomvannuenen2024-08-29 22:55
    Challenge 2 in lesson 01 contains answers
  • Issue#10tomvannuenen2024-08-29 22:55
    Challenge 2 in lesson 01 contains answers
  • Issue comment#9tomvannuenen2024-08-29 22:55
    Typo in 02_python_data_wrangling .value_counts() graphic
  • Issue#9tomvannuenen2024-08-29 22:55
    Typo in 02_python_data_wrangling .value_counts() graphic
  • Issue comment#8tomvannuenen2024-08-29 22:54
    Splitting the workshop into two sessions
  • Issue comment#7tomvannuenen2024-08-29 22:53
    Error in .dropna() in 02_python_data_wrangling
  • Issue#7tomvannuenen2024-08-29 22:53
    Error in .dropna() in 02_python_data_wrangling
  • Issue comment#6tomvannuenen2024-08-29 22:51
    Typo: demo comment at end of 01_python_data_wrangling
  • Issue#6tomvannuenen2024-08-29 22:51
    Typo: demo comment at end of 01_python_data_wrangling
  • Issue comment#2tomvannuenen2024-08-29 22:50
    01_python_data_wrangling includes challenge solutions
  • Issue#2tomvannuenen2024-08-29 22:50
    01_python_data_wrangling includes challenge solutions

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.