[PDF.39db] 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
Download PDF | ePub | DOC | audiobook | ebooks
Home -> 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data pdf Download
21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
[PDF.dl97] 21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data
21 Recipes for Mining Matthew A. Russell epub 21 Recipes for Mining Matthew A. Russell pdf download 21 Recipes for Mining Matthew A. Russell pdf file 21 Recipes for Mining Matthew A. Russell audiobook 21 Recipes for Mining Matthew A. Russell book review 21 Recipes for Mining Matthew A. Russell summary
| #2347754 in Books | 2011-03-10 | 2011-03-07 | Original language:English | PDF # 1 | 9.19 x.20 x7.00l,.30 | File type: PDF | 76 pages||0 of 0 people found the following review helpful.| Five Stars|By Customer|Great book|0 of 0 people found the following review helpful.| Decent|By Jowanza|There is no problem with the book, just a little tough for those new to Python. I would recommend this for those who know Python, but encourage those who don't to be prepared for a couple hours.|0 of 0 people found the foll|About the Author|
|Matthew Russell, Vice President of Engineering at Digital Reasoning Systems (http://www.digitalreasoning.com/) and Principal at Zaffra (http://zaffra.com), is a computer scientist who is passionate about data mining, open source, and web a
Millions of public Twitter streams harbor a wealth of data, and once you mine them, you can gain some valuable insights. This short and concise book offers a collection of recipes to help you extract nuggets of Twitter information using easy-to-learn Python tools. Each recipe offers a discussion of how and why the solution works, so you can quickly adapt it to fit your particular needs. The recipes include techniques to:
Use OAuth to access Twitter dat...
You can specify the type of files you want, for your device.21 Recipes for Mining Twitter: Distilling Rich Information from Messy Data | Matthew A. Russell. Which are the reasons I like to read books. Great story by a great author.