Inside Out - Creating a Python Ecosystem for Analysis and Better Government
summary
Baltimore City builds a Python ecosystem that automates internal service workflows, produces reproducible reports, and changes hiring and training: a three‑person team scaling to five runs citywide lunch‑and‑learns and a public meetup, holds weekly support sessions with 8–10 regulars, and partners with a coding school to hire a 15‑year‑old analyst. The stack centers on Jupyter + core libs (numpy matplotlib), GitHub, Plotly and PythonAnywhere, and the program costs paid less than $2,000/year while successfully reducing manual work and spreading tool use across agencies.
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chapters (11)
- 0:00Government service challenges
- 7:29Python ecosystem for improvement
- 10:22Business problems to solutions
- 13:53Choosing Python
- 18:09Python libraries and tools
- 21:24Soliciting business problems
- 24:18Python adoption culture
- 27:36Training and human capital
- 31:06Python in real-world use
- 33:52Key takeaways and barriers
- 36:19Q&A
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