Learnings

<p>Last minute checklist for organizing conferences </p>

<p>Design specs for developers: </p>

<p>Clean Code in Python </p>

<p>A Practical Guide to Feature Engineering in Python: </p>

<p>Alpine makes Python Docker builds 50× slower, and images 2× larger </p>

<p>2020 HackerRank Developer Skills Report </p>

<p>Incremental PRs: a new GitHub workflow for the Gatsby Cloud team </p>

<p>Lessons learned scaling PostgreSQL database to 1.2bn records/month: </p>

<p>TypeScript’s quirks: How inconsistencies make the language more complex </p>

<p>Things You Should Never Do, Part I </p>

<p>Hands-On Web Application Security with Django - PyCon 2019 </p>

<p>Is Python Really Scalable? </p>

<p>How to use git to remove untracked files, which are missed from git reset, from your branch? git clean. </p>

<p>Cookiecutter Data Science: </p>

<p>a critique of Big Data in Politics </p>

<p>Get the latest version of a pypi package with <code>curl -s "" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1</code></p>

<p>Understanding Django URLs </p>

<p>Advice from a GraphQL Expert </p>

<p>"In the sciences, metrology is serious business. In the field of software development, it <em>should</em> be serious, but more often it’s just theatre; an exercise in the ritualistic use of numbers to cast a scientific aura around an otherwise irrational management process" </p>

<p>JavaScript type coercion explained </p>

<p>Git Tools - Reset Demystified </p>

<p>The Engineer’s Guide to Career Growth by Raylene Yung </p>

<p>McDonald’s Theory </p>

<p>Continuous Delivery for Machine Learning: Automating the end-to-end lifecycle of Machine Learning applications </p>