Data Visualization with Python and Javascript
- Išparduota
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 win…
0
/https://libri-media.knygos-static.lt/38c160e9-e26b-41ba-99f0-fb3a3e868a8e/1)
- Autorius: Kyran Dale
- Leidėjas: O'Reilly UK Ltd.
- Metai: 2016
- ISBN-10: 1491920513
- ISBN-13: 9781491920510
- Formatas: 14.9 x 22.8 x 3.5 cm, minkšti viršeliai
- Kalba: Anglų
Atsiliepimai
Aprašymas
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 Python
Understand the commonalities between Python and JavaScript
Extract information from websites by using Python's web-scraping tools, BeautifulSoup and Scrapy
Clean and explore data with Python's Pandas, Matplotlib, and Numpy libraries
Serve data and create RESTful web APIs with Python's Flask framework
Create engaging, interactive web visualizations with JavaScript's D3 library
Išparduota
- Autorius: Kyran Dale
- Leidėjas: O'Reilly UK Ltd.
- Metai: 2016
- ISBN-10: 1491920513
- ISBN-13: 9781491920510
- Formatas: 14.9 x 22.8 x 3.5 cm, minkšti viršeliai
- Kalba: Anglų
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 Python
Understand the commonalities between Python and JavaScript
Extract information from websites by using Python's web-scraping tools, BeautifulSoup and Scrapy
Clean and explore data with Python's Pandas, Matplotlib, and Numpy libraries
Serve data and create RESTful web APIs with Python's Flask framework
Create engaging, interactive web visualizations with JavaScript's D3 library
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 Python
Understand the commonalities between Python and JavaScript
Extract information from websites by using Python's web-scraping tools, BeautifulSoup and Scrapy
Clean and explore data with Python's Pandas, Matplotlib, and Numpy libraries
Serve data and create RESTful web APIs with Python's Flask framework
Create engaging, interactive web visualizations with JavaScript's D3 library
Atsiliepimai