Python
173 posts
Parallelizing cumulative blame in git-pandas with joblib
Boost git-pandas cumulative blame analysis performance with joblib. Parallel processing via multithreading speeds up this costly operation.
Growing Pedal Wrencher
How I worked to grow pedal wrencher after the launch hype faded, with blogging, user education, profile and registration redesigns, and social media.
When do I work on what?
Use git-pandas to analyze and visualize work patterns across open source vs. closed source projects. Compare commit times with punchcard plots. Learn the code.
Estimating the time spent on a project with git-pandas
Learn how to estimate project development time using commit history with git-pandas. Compares to git_time_extractor, git-hours, and glass.
Pedal Wrencher: How Many Bikes Is Enough?
A quick data dive into pedal wrencher usage: how many bikes users register, how many keep the default maintenance alerts, and who the power users are.
Automating documentation workflow with sphinx and github pages
Explore a comprehensive guide on automating the deployment of Sphinx documentation to GitHub Pages, streamlining your workflow with efficient practices.
Pypi-publisher: a simple cli for publishing python libraries
Introducing pypi-publisher (ppp): a CLI tool simplifying Python library publishing. Handles .pypirc updates, linting, git tags, and PyPI sdist uploads.
Using survival analysis and git-pandas to estimate code quality
Apply survival analysis with git-pandas to measure code quality in Git repositories by analyzing code longevity and contributor patterns over time.
Git-pandas v1.0.0, or how to check for a stable release
Explore git-pandas v1.0.0, focusing on interface consistency, parameter naming, and API simplification for improved data analysis workflows.
Github.com cumulative blame in 5 lines of python
Visualize your GitHub repository growth over time using the git-pandas Python library and GitHubProfile class-all in just a few lines of code.