Python4DataScience

@python4data.science

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

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
Precision-Recall-Curve comparison between workspace and HEAD
XKCD #3117: Replication Crisis
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.
Git workflow across all areas: stash - working area - staging area - local repository and remote repository
Python visualisation landscape