TOMLParams: TOML-based parameter files made better

Posted on Sun 16 July 2023 in TDDA • Tagged with TDDA, reproducibility

TOMLParams is a new open-source library that helps Python developers to externalize parameters in TOML files. This post will explain why storing parameters in non-code files is beneficial (including for reproducibility), why TOML was chosen, and some of the useful features of the library, which include structured sets of parameters …

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TDDA on the Coding for Thought Podcast

Posted on Tue 11 July 2023 in TDDA • Tagged with podcast, TDDA

I had the pleasure of discussing TDDA with Peter Schmidt on his Coding for Thought podcast.

I think it came out really well, so this might be a nice way for people to learn about the ideas and motivations for the ideas and the library, which Simon Brown, Sam Rhynas …

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Overcast Logged-in iCloud Users: Self-Selection Bias and Customer Stickiness

Posted on Sun 08 January 2023 in TDDA • Tagged with stats, bias, interpretation

On Episode 258 of Marco Arment and “Underscore” David Smith’s podcast Under the Radar, and then on Episode 516 of Marco & co’s Accidental Tech Podcast, Marco describes the fact that his data suggests that about 12% of his users don’t have logged-in iCloud accounts with iCloud Drive …

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Gentest Talk at 2022 Toronto Workshop on Reproducibility

Posted on Fri 25 February 2022 in TDDA • Tagged with tests, reference tests, gentest

We released version 2.0 of the Python TDDA library this week. The radical new feature of the 2.0 release is Gentest, a command-line tool for automatically generating tests for more-or-less any code that you can run from a command line.

Gentest was introduced at the 2022 Toronto Workshop …

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Unix & Linux Survival Guide for Data Science etc.

Posted on Mon 21 February 2022 in TDDA • Tagged with tests, cartoon

Cheat-sheet for unix and linux

PDF Version (A4)

PDF Version (Letter)

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