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civic tech enthusiast | DC government data scientist | @BU_PoliSci alum | all views are my own #bikeDC #rstats he/him/his
Local government needs more young people but they won't hire them because they'd rather reinforce ageist tropes that years of "experience" = skill
@sboots btw thank you for your post, https://sboots.ca/2022/06/23/enterprise-architecture-is-dead/ 🙌🏽 I've shared it with so many enterprise architecture proponents in government
Enterprise architecture is dead

When I rejoined the federal government in 2016, our team’s desks were around the corner from a large team working on a financial management transformation project – the walls of their area covered in mesmerizing, plotter-printed posters. This was my first introduction to enterprise architecture. If you haven’t worked in government IT, it can be hard to describe, but if you’ve seen business capability models, target state architectures, TOGAF frameworks, or architecture review committee presentation decks, hello. You’ve met enterprise architecture.

Using the term "enterprise" in a government context gives me the ick
This is the ideal data science syntax. You may not like it, but this is what peak performance looks like.
@christa We aren't prepared for it in city government - we don't have the governance or infrastructure or expertise, but it's taking so much funding and giving it to companies that build LLM wrapper apps

Staying mad about how R's tidyverse has a better syntax for data science than Python's pandas API is going to cost me valuable brain space and maybe even job opportunities, but I know I'm right because both R and Python are converging to tidypolars

https://github.com/markfairbanks/tidypolars

https://tidypolars.etiennebacher.com/

GitHub - markfairbanks/tidypolars: Tidy interface to polars

Tidy interface to polars. Contribute to markfairbanks/tidypolars development by creating an account on GitHub.

GitHub
it would be very cool if state and local tech agencies hired more in-house talent and didn't give millions to consulting firms
I'm finding that many people new to #DataScience may know git/GitHub, but have a tough time understanding how to use git workflows for collaboration - it's not something that gets taught sadly
Managers who ask questions >>>>> managers who talk more
Public sector tech/data is *struggling* at a local level. I told a city govt tech worker they could deploy a service using docker and they said that was "too technical"