Kyran Dale

Data Visualization with Python and JavaScript (eBook, ePUB)

Scrape, Clean, Explore & Transform Your Data

• Format: ePub

Produktbeschreibung

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript librariesincluding Scrapy, Matplotlib, Pandas, Flask, and D3for crafting engaging, browser-based visualizations.As a working example, throughout the book Dale walks you through transforming Wikipedias table-based list of Nobel Prize winners into an interactive visualization. Youll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScripts D3 library. If youre ready to create your own web-based data visualizationsand know either Python or JavaScript this is the book for you.Learn how to manipulate data with PythonUnderstand the commonalities between Python and JavaScriptExtract information from websites by using Pythons web-scraping tools, BeautifulSoup and ScrapyClean and explore data with Pythons Pandas, Matplotlib, and Numpy librariesServe data and create RESTful web APIs with Pythons Flask frameworkCreate engaging, interactive web visualizations with JavaScripts D3 library

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 592
• Erscheinungstermin: 30. Juni 2016
• Englisch
• ISBN-13: 9781491920534
• Artikelnr.: 45484282

Autorenporträt

Kyran Dale is a jobbing programmer, ex research-scientist, recreational hacker, independent researcher, occasional entrepreneur, cross-country runner and improving jazz pianist. During 15 odd years as a research scientist he hacked a lot of code, learned a lot of libraries and settled on some favourite tools. These days he finds Python, Javascript and a little C++ goes a long way to solving most problems out there. He specializes in fast-prototyping and feasibility studies, with an algorithmic bent but is happy to just build cool things.