How to build stunning Data Science Web applications in Python

on YouTube ↗54m

" summary

Taipy presents a low‑code Python stack — Taipy Core, Taipy GUI, and Taipy Studio — that claims to build full data‑science apps with scenario management, pipeline versioning, caching/skippable tasks, and a VS Code pipeline editor. Demos show a decimator that preserves time‑series shape, notebook‑spawned web servers, and scenario runs with cached/skippable tasks. Deployments include a retailer case that cuts an outsourced 600k eight‑month project to ~60k and two months, so the tooling is shown working end‑to‑end.

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" chapters (14)

1. 0:00Introduction
2. 6:29What is Taipy
3. 10:03Simple Taipy GUI app
4. 19:16Advanced GUI callbacks
5. 21:03Handling large datasets
6. 24:24Taipy in Jupyter
7. 30:58Taipy GUI visuals
8. 31:18Taipy Core pipelines
9. 35:37Caching in pipelines
10. 37:02Running scenarios
11. 41:13Pipeline migration
12. 44:12Taipy roadmap
13. 46:39TaipyCloud deployment
14. 47:22Q&A

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