Item specifics
| Condition: | Good : A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitions– opens in a new window or tab |
|---|---|
| Seller Notes: | “Book is in typical used-Good Condition. Will show signs of wear to cover and/or pages. There may be underlining, highlighting, and or writing. May not include supplemental items (like discs, access codes, dust jacket, etc). Will be a good Reading copy.” |
| 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
