Skip to content

Actions: exercism/python

Actions

All workflows

Actions

Loading...
Loading

Showing runs from all workflows
773 workflow run results
773 workflow run results

Filter by Event

Filter by Status

Filter by Branch

Filter by Actor

[June Problem Specs Sync]: Synced tests.toml & Regenerated Test File for crypto-square Configlet #4212: Pull request #3923 opened by BethanyG
8s BethanyG:june-crypto-square-tests-sync
BethanyG:june-crypto-square-tests-sync
8s
[June Problem Specs Sync]: Synced tests.toml & Regenerated Test File for crypto-square Exercises check #4134: Pull request #3923 opened by BethanyG
1m 50s BethanyG:june-crypto-square-tests-sync
BethanyG:june-crypto-square-tests-sync
1m 50s
[June Problem-Spec Sync]: Practice Exercise Metadata Test Runner #3942: Pull request #3922 opened by BethanyG
46s BethanyG:june-metadata-sync
BethanyG:june-metadata-sync
46s
[June Problem-Spec Sync]: Practice Exercise Metadata Configlet #4211: Pull request #3922 opened by BethanyG
7s BethanyG:june-metadata-sync
BethanyG:june-metadata-sync
7s
[June Problem-Spec Sync]: Practice Exercise Metadata Ping cross-track maintainers team #108: Pull request #3922 opened by BethanyG
7s
7s
[June Problem-Spec Sync]: Practice Exercise Metadata Pause Community Contributions #626: Pull request #3922 opened by BethanyG
8s
8s
[June Problem-Spec Sync]: Practice Exercise Metadata Exercises check #4133: Pull request #3922 opened by BethanyG
1m 54s BethanyG:june-metadata-sync
BethanyG:june-metadata-sync
1m 54s
[June Problem-Spec Sync]: Practice Exercise Introductions Configlet #4210: Pull request #3921 opened by BethanyG
9s BethanyG:june-introduction-sync
BethanyG:june-introduction-sync
9s
[June Problem-Spec Sync]: Practice Exercise Introductions Test Runner #3941: Pull request #3921 opened by BethanyG
46s BethanyG:june-introduction-sync
BethanyG:june-introduction-sync
46s
[June Problem-Spec Sync]: Practice Exercise Introductions Exercises check #4132: Pull request #3921 opened by BethanyG
1m 47s BethanyG:june-introduction-sync
BethanyG:june-introduction-sync
1m 47s
[June Problem-Spec Sync]: Practice Exercise Introductions Ping cross-track maintainers team #107: Pull request #3921 opened by BethanyG
7s
7s
[June Problem-Spec Sync]: Practice Exercise Introductions Pause Community Contributions #625: Pull request #3921 opened by BethanyG
7s
7s
[June Problem-Spec Sync]: Practice Exercise Instructions Configlet #4209: Pull request #3920 opened by BethanyG
11s BethanyG:june-sync-instructions
BethanyG:june-sync-instructions
11s
[June Problem-Spec Sync]: Practice Exercise Instructions Test Runner #3940: Pull request #3920 opened by BethanyG
49s BethanyG:june-sync-instructions
BethanyG:june-sync-instructions
49s
[June Problem-Spec Sync]: Practice Exercise Instructions Exercises check #4131: Pull request #3920 opened by BethanyG
1m 46s BethanyG:june-sync-instructions
BethanyG:june-sync-instructions
1m 46s
[June Problem-Spec Sync]: Practice Exercise Instructions Pause Community Contributions #624: Pull request #3920 opened by BethanyG
7s
7s
[June Problem-Spec Sync]: Practice Exercise Instructions Ping cross-track maintainers team #106: Pull request #3920 opened by BethanyG
7s
7s
Cambio visible para crear PR Ping cross-track maintainers team #105: Pull request #3919 opened by CatalinaUrquiza
8s
8s
Cambio visible para crear PR Pause Community Contributions #623: Pull request #3919 opened by CatalinaUrquiza
9s
9s
Update hello_world.py No important files changed #87: Pull request #3918 opened by gitddpsm
7s
7s
Update hello_world.py Ping cross-track maintainers team #104: Pull request #3918 opened by gitddpsm
7s
7s
Update hello_world.py Pause Community Contributions #622: Pull request #3918 opened by gitddpsm
9s
9s
import numpy as np import pandas as pd # statsmodels is used to build statistical models import statsmodels.api as sm # To split the data into train and test sets from sklearn.model_selection import train_test_split # Load the dataset cook = pd.read_csv('Chapter 9 - Case Study Dataset - Cookingrange.csv') # Manually print DataFrame info in the required format for i, (col, dtype) in enumerate(zip(cook.columns, cook.dtypes)): non_null = cook[col].notnull().sum() print(f"{i} \n{col} \n{non_null} non-null \n{dtype}") Pause Community Contributions #621: Issue #3917 opened by error303-NON
8s
8s
Remove instruction to create PREPARATION_TIME constant Pause Community Contributions #620: Pull request #3916 opened by ebanner
9s
9s
Remove instruction to create PREPARATION_TIME constant Ping cross-track maintainers team #103: Pull request #3916 opened by ebanner
9s
9s