Journal

All Posts

• Pedal Wrencher: How Many Bikes Is Enough?

  March 23, 2016 · cycling strava data-science

  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.

• Data Science Things Roundup #5

  March 15, 2016 · data-science machine-learning resources

  Explore Deep Q-Learning for Space Invaders, insights from Elasticsearch in production, and improved Python package management strategies.

• Automating documentation workflow with sphinx and github pages

  February 29, 2016 · documentation github open-source

  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

  February 24, 2016 · cli deployment open-source

  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

  February 21, 2016 · data-analysis data-science dataviz

  Apply survival analysis with git-pandas to measure code quality in Git repositories by analyzing code longevity and contributor patterns over time.

• Journalism and the Perfect Pitch Deck

  February 15, 2016 · entrepreneurship startups venture-capital

  How the principles of journalism can be applied to create more effective startup pitch decks, using the 5 W's and 1 H framework.

• Git-pandas v1.0.0, or how to check for a stable release

  February 2, 2016 · data-science dataviz git

  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

  January 31, 2016 · data-science dataviz git

  Visualize your GitHub repository growth over time using the git-pandas Python library and GitHubProfile class-all in just a few lines of code.

• Decision Strategies: Beyond Expected Value

  January 28, 2016 · mathematics

  An exploration of decision-making strategies that go beyond simple expected value calculations, incorporating concepts of ruin and windfall.

• Data-driven engineering team management with gitnoc and git-pandas

  January 19, 2016 · data visualization dataviz git

  Leverage git-pandas and gitnoc for data-driven engineering management. Visualize git data for insights on bus factor, risk, project growth, and team oversight.