Data-visualisation with Python and Javascript: crafting a data-viz toolchain for the web

on YouTube ↗36m

" summary

Scrapes Wikipedia Nobel pages with Scrapy, Pandas, Flask -> JSON -> D3, cleans messy fields, serves a tiny REST API and builds an interactive browser visualization that actually works. Finds concrete stories: 59 countries, per‑capita skews, a clear WWII migration signal and one female physics laureate as a surprising datum. Shows seaborn violin plots for ages, demonstrates pipelines for images and citations, and proves the Python→JavaScript handoff is minimal and repeatable.

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" chapters (14)

1. 0:00Intro
2. 1:59AN ELEPHANT IN THE LIVING-ROOM
3. 3:27SIMPLY SCRIPTING A LANGUAGE BRIDGE CHEATSHEET
4. 4:02A LANGUAGE BRIDGE FUNCTIONAL FIDDLING
5. 4:31SHIFTING BITS JS SMOKES PYTHON FOR SPEED
6. 9:36MY AMAZING NEW VISUALISATION
7. 12:11THE DATAVIZ TOOLCHAIN
8. 16:06SCRAPING DATA WITH SCRAPY SEND IN THE SPIDER
9. 17:13CLEANING DATA WITH PANDAS
10. 20:04EXPLORING DATA WITH PANDAS
11. 23:38IMAGINING A VISUALISATION
12. 24:16DELIVERING DATA WITH FLASK
13. 25:14RESTFUL DATA WITH FLASK ROLLING AN API WITH EVE AND MONGDB
14. 31:14SUMMARY • Mediated by JSON, Python and Javascript are a great data via complement

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