Triage ideas from 2022 dCFPd

[colindean]

I surfaced a few ideas at Code & Supply's Diversity CFP Day:

• Patterns for migrating Python apps from requirements.txt + setuptools to poetry
• Writing old fashioned formal letters with Pandoc
• Introduction to PromQL
• Introduction to InfluxQL
• Upgrading Rails major versions (I'm probably not the best person to do this, though)
• Shipping a data pipeline inside of a Conda container
• "The Unbearable Weight of Massive Talent Tech Debt" - Strategies for Fixing Legacy Code Undercover
• We need to teach Python differently to enable the sustainable development of proofs-of-concept into maintainable software
• More jq always makes the problem better, right?

Already WIP:

• Observability for Data Pipelines

Others:

• @tealjulia wondered, "Why is Python the default choice for the data [science and engineering] world?" I can speculate about its use in teaching data science at the graduate level in part because of the numpy, pandas, etc. ecosystems that make DS easy and fast, but it'd be great to investigate this further with some first-party research and surveying.