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DATA VISUALIZATION WITH PYTHON AND JAVASCRIPT: SCRAPE, CLEAN, By Kyran Dale |

Item specifics

Publication Year: 2016 Format: Paperback
Language: English ISBN:

9781491920510

EAN:

9781491920510

DATA VISUALIZATION WITH PYTHON AND JAVASCRIPT: SCRAPE, CLEAN, By Kyran Dale

About this product

Synopsis
In a world that increasingly expects more than pre-rendered, static images, Python and Javascript are the perfect complement for turning data into rich, interactive visualizations. Developers need to know how to turn raw, unprocessed dataoften “dirty” or malformedinto dynamic web visualizations. Author Kyran Dale teaches you how to leverage the power of best-of-breed Python and Javascript libraries to do so, using engaging examples and stressing hard-earned best-practices. You’ll learn how to: Get data programmatically, using scraping tools or web APIs Clean and process data using Python’s heavyweight data-processing libraries Deliver data to a browser using a lightweight Python server (Flask) Receive data and use it to create a web visualization, using D3, Canvas, or WebGL 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 libraries–including Scrapy, Matplotlib, Pandas, Flask, and D3–for crafting engaging, browser-based visualizations.As a working example, throughout the book Dale walks you through transforming Wikipedia’s table-based list of Nobel Prize winners into an interactive visualization. You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. If you’re ready to create your own web-based data visualizations–and 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 Python’s web-scraping tools, BeautifulSoup and ScrapyClean and explore data with Python’s Pandas, Matplotlib, and Numpy librariesServe data and create RESTful web APIs with Python’s Flask frameworkCreate engaging, interactive web visualizations with JavaScript’s D3 library Python and Javascript are the perfect complement for turning data into rich, interactive web visualizations, in a world that increasingly expects more than a pre-rendered, static image. Developers need to know how to turn raw, unprocessed data, often “dirty” or malformed, into dynamic, interactive web visualizations. Author Kyran Dale teaches you how to leverage the power of best-of-breed Python and Javascript libraries to do so, using engaging examples and stressing hard-earned best-practice.You’ll learn how to: Get data programmatically, using scraping tools or web APIsClean and process data using Python’s heavyweight data-processing librariesDeliver data to a browser using a lightweight Python server (Flask)Receive data and use it to create a web visualization, using D3, Canvas, or WebGL

Product Identifiers
ISBN-10 1491920513
ISBN-13 9781491920510
eBay Product ID (ePID) 217014251

Key Details
Author Kyran Dale
Number Of Pages 592 pages
Format Paperback
Publication Date 2016-07-22
Language English
Publisher O’Reilly Media, Incorporated
Publication Year 2016

Additional Details
Copyright Date 2016
Illustrated Yes

Dimensions
Weight 29.8 Oz
Height 1.2 In.
Width 6.6 In.
Length 8.9 In.

Target Audience
Group Scholarly & Professional

Classification Method
LCCN 2016-498699
LC Classification Number QA76.9.I52
Dewey Decimal 005.13/3
Dewey Edition 23

Price : 35.95

Ends on : Ended

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