Data-Visualisation with Python and Javascript - Crafting a Data-Viz Toolchain for the Web

Explore data visualization techniques using Python and JavaScript to create engaging web-based visualizations. Learn how to transform raw data into insightful visual representations by utilizing tools such as Scrapy for web scraping, Pandas for data cleaning and exploration, Flask for data delivery, and D3.js for interactive visualizations. Discover how to bridge the gap between Python's data processing capabilities and JavaScript's web presentation strengths, creating a seamless workflow for crafting data visualization toolchains for the modern web.

Intro
AN ELEPHANT IN THE LIVING-ROOM
SIMPLY SCRIPTING A LANGUAGE BRIDGE CHEATSHEET
A LANGUAGE BRIDGE FUNCTIONAL FIDDLING
SHIFTING BITS JS SMOKES PYTHON FOR SPEED
MY AMAZING NEW VISUALISATION
THE DATAVIZ TOOLCHAIN
SCRAPING DATA WITH SCRAPY SEND IN THE SPIDER
CLEANING DATA WITH PANDAS
EXPLORING DATA WITH PANDAS
IMAGINING A VISUALISATION
DELIVERING DATA WITH FLASK
RESTFUL DATA WITH FLASK ROLLING AN API WITH EVE AND MONGDB
SUMMARY • Mediated by JSON, Python and Javascript are a great data via complement