"So, I Got Some Code Working… Now How Do I Share It?!"
summary
Non-technical team copies 4–6 playlists daily into a Google Sheet; goal is one-click CSV export with proper metadata and secrets handled. Tests: Google Colab (easy sharing, secret management and scary tracebacks), trinket.io (browser-run but Python 3 paywall), attempted PyScript (couldn’t run native modules), tried Anvil/ppace (nice UI but couldn’t trigger a CSV download), then builds and deploys a Flask web app as the reliable production-ready solution.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 4:00Who this talk is for and the work problem
- 7:29Code building challenges
- 11:20Google Colab limits
- 14:05Trinket and PyScript
- 16:53Anvil frontend
- 18:38Custom Flask app
- 21:05Summary
related talks
37mReproducible and shareable notebooks across a data science team
32mWork Less and Do More: Google Sheets for JavaScript Developers
28mPython Apps in the Browser made simple by PyCafe
01h 16mExploring Google APIs with Python & JavaScript
33mWork Less and Do More: Sheets for Node.js Developers
02h 14mHands-on Python for Programmers
31mOrganizing and Maintaining Your Code-Scape with Python
42mStreamlit: A Faster Way to Build and Share Data Apps