Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
- ISBN13: 9781449388348
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
Facebook, Twitter, and LinkedIn make a tremendous quantity of valuable social information, but how can you locate out who’s creating connections with social media, what they’re speaking about, or wherever they are located? This concise and practical book exhibits you how to answer these questions and a lot more. You are going to understand how to mix social web data, evaluation strategies, and visualization to assist you come across what you have been seeking for in the social haystack, as nicely as helpful information you didn’t know existed.
Each standalone chapter introduces techniques for mining data in various places of the social Web, including blogs and electronic mail. All you require to get started out is a programming background and a willingness to learn fundamental Python resources.
- Get a straightforward synopsis of the social net landscape
- Use adaptable scripts on GitHub to harvest data from social network APIs this kind of as Twitter, Facebook, and LinkedIn
- Understand how to use easy-to-use Python equipment to slice and dice the information you collect
- Examine social connections in microformats with the XHTML Close friends Network
- Apply advanced mining tactics this kind of as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
- Create interactive visualizations with internet technologies primarily based on HTML5 and JavaScript toolkits
“Let Matthew Russell serve as your guide to operating with social information sets outdated (e mail, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Internet is a all-natural successor to Programming Collective Intelligence: a practical, hands-on strategy to hacking on data from the social Web with Python.”
–Jeff Hammerbacher, Chief Scientist, Cloudera
“A wealthy, compact, helpful, practical introduction to a galaxy of equipment, tactics, and theories for exploring structured and unstructured data.”
–Alex Martelli, Senior Staff Engineer, Google
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Python Web Development with Django
Employing the basic, robust, Python-primarily based Django framework, you can build strong Net remedies with remarkably number of lines of code. In Python Net Growth with Django®, a few experienced Django and Python developers cover all the tactics, equipment, and concepts you require to make the most of Django 1., such as all the major functions of the new release.
The authors teach Django through in-depth explanations, plus offer substantial sample code supported with photos and line-by-line explanations. You’ll discover how Django leverages Python’s improvement speed and flexibility to help you remedy a broad spectrum of Web advancement troubles and learn Django very best practices covered nowhere else. You will construct your 1st Django application in just minutes and deepen your actual-planet expertise by way of start-to-finish application projects including
- Easy Web log (weblog)
- On the internet picture gallery
- Straightforward subject material management program
- Ajax-powered dwell blogger
- Online supply code sharing/syntax highlighting device
- How to run your Django applications on the Google App Engine
This complete guide begins by introducing Python, Django, and Internet development ideas, then dives into the Django framework, offering a deep comprehending of its significant parts (models, views, templates), and how they come together to form full Net applications. Right after a discussion of 4 independent operating Django applications, coverage turns to advanced subjects, this sort of as caching, extending the template system, syndication, admin customization, and testing. Valuable reference appendices cover using the command-line, putting in and configuring Django, improvement equipment, exploring current Django applications, the Google App Engine, and how to get more involved with the Django neighborhood.
Introduction one
Portion I: Getting Started
Chapter one: Practical Python for Django 7
Chapter 2: Django for the Impatient: Building a Web site 57
Chapter three: Beginning Out 77
Part II: Django in Depth
Chapter 4: Defining and Using Designs 89
Chapter five: URLs, HTTP Mechanisms, and Views 117
Chapter 6: Templates and Kind Processing 135
Portion III: Django Applications by Example
Chapter 7: Photograph Gallery 159
Chapter 8: Subject material Management Program 181
Chapter 9: Liveblog 205
Chapter ten: Pastebin 221
Portion IV: Sophisticated Django Strategies and Attributes
Chapter 11: Superior Django Programming 235
Chapter twelve: Sophisticated Django Deployment 261
Element V: Appendices
Appendix A: Command Line Fundamentals 285
Appendix B: Installing and Operating Django 295
Appendix C: Tools for Practical Django Development 313
Appendix D: Locating, Evaluating, and Utilizing Django Applications 321
Appendix E: Django on the Google App Engine 325
Appendix F: Getting Involved in the Django Project 337
Index 339
Colophon 375
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