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Python4DataScience

@python4data.science

4.8K followers 4 following 109 posts

Teaching materials for the cusy training courses on a Python-based data science workflow: cusy.io/seminars

Posts Replies Media

Python4DataScience @python4data.science · 11/06/2026

We have expanded our tutorials to include answers to the question of how coding agents can assist data scientists with programming: • python-basics-tutorial.readthedocs.io/de/latest/li... • github.com/veit/python-... #Python #DataScience #CodingAgents #Claude #Cursor

Note

We also use static code analysis and linting for the generated code in agent-based software development:

AGENTS.md
# Code quality and linting
- Use ruff, ty, prek, wily for code quality and linting.
- Run appropriate tooling after making changes to your code to ensure it meets quality standards.

See also: Code quality and linting

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Python4DataScience @python4data.science · 21/10/2025

We have updated our tutorial to data management with DVC. It also allows you to create lightweight data science and data modelling workflows and execute them in a parameterised manner: www.python4data.science/en/latest/pr... #Data #Versioncontrol #Git #DataScience #Modeling #Python

Precision-Recall-Curve comparison between workspace and HEAD

Receiver operating characteristic (ROC) comparison between workspace and HEAD

Confusion Matrix comparison between workspace and HEAD

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Python4DataScience @python4data.science · 19/07/2025

The XKCD comic on reproducible scientific results fits perfectly with our tutorial 🧐 😉 www.python4data.science/en/latest/pr...

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Python4DataScience @python4data.science · 15/07/2025

Almost more significant than the success of #Python is the growth of #Jupyter #Notebooks: “Data scientists and machine learning researchers commonly use the #OpenSource application for #MachineLearning, #DataViz, and more.” jupyter-tutorial.readthedocs.io/en/latest/in...

Graph from GitHub’s Octoverse 2024 report showing a spike in utilization of Jupyter Notebooks across GitHub. This is calculated by looking at the distinct number of public repositories with at least one Jupyter Notebook by the year the repository was created. Since 2016, we have seen this number surge from near zero to more than 1.5 million repositories using Jupyter Notebooks.

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Python4DataScience @python4data.science · 28/02/2025

🎉 4000 Pythonistas and data scientists now follow us on Bluesky 🤗 We are very pleased about the great interest in our offer. #Python #DataScience

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Python4DataScience @python4data.science · 26/05/2024

We have updated our git cheat sheet: github.com/cusyio/Pytho...

Git workflow across all areas: stash - working area - staging area - local repository and remote repository

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Python4DataScience @python4data.science · 19/12/2023

We have updated the German-language overview of Python visualisation libraries. In the process, 47 new libraries were added: pyviz-tutorial.readthedocs.io/de/latest/ov...

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