Journal

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• Git-Pandas v0.0.5: coverage.py, risk, and more

  December 25, 2015 · data-analysis git git-pandas

  Git-pandas v0.0.5 is out! Adds coverage.py support, file change rate metrics for risk analysis, API updates, time-based filtering for commits.

• Common Data Pitfalls for Recurring Machine Learning Systems

  December 20, 2015 · analytics data-engineering data-science

  Explore common data pitfalls in recurring machine learning systems, including new categories, data format changes, sending issues, deduplication, and updates.

• Visualize all of your git repositories with gitnoc and git-pandas

  December 13, 2015 · data visualization dataviz git

  Visualize git repositories at scale using GitNOC & git-pandas. Create profiles to analyze cumulative blame & file change rates across multiple projects.

• CyberLaunch: An Accelerator for Machine Learning Companies

  December 8, 2015 · atlanta data-science machine-learning

  Explore CyberLaunch, Atlanta's accelerator for machine learning and info security startups, its program details, and its impact on the local startup ecosystem.

• Data Science Things Roundup #4

  December 5, 2015 · data-science machine-learning resources

  Data Science Things Roundup #4: Featuring Scikit-learn groups for feature sets, Markov Modulated Poisson Processes for event detection, and DBoost for boosting.

• Beyond One-Hot: An Exploration of Categorical Variables

  November 29, 2015 · data-science feature-engineering machine-learning

  A deep dive into different methods for encoding categorical variables in machine learning, exploring their benefits and trade-offs

• Analyzing GitPython and Pandas With GitPandas

  November 19, 2015 · data-analysis git git-pandas

  Analyze GitPython and Pandas repositories with git-pandas! Explore LOC, contributors, and bus factor using this Python library for git analysis.

• Create a pip-installable python package in 2 minutes

  November 12, 2015 · open-source packaging pip

  Rapidly create and publish Python packages. Learn the steps from cookiecutter-pipproject template setup to pushing your first release to PyPI in minutes.

• Blame the world with git-pandas

  November 10, 2015 · dataviz git git-pandas

  Introducing git-pandas, a Python library offering a pandas interface for git analysis. Easily aggregate git blame across projects.

• Data Science vs. Data Engineering

  October 31, 2015 · big-data career data-engineering

  Understanding the fundamental differences between data science and data engineering through the lens of methodology rather than tools