21 Recipes for Mining Twitter

21 Recipes for Mining TwitterMillions 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 data
  • Create and analyze graphs of retweet relationships
  • Use the streaming API to harvest tweets in realtime
  • Harvest and analyze friends and followers
  • Discover friendship cliques
  • Summarize webpages from short URLs

This book is a perfect companion to O’Reilly's Mining the Social Web.

Price: $29.99

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Hacking: Basic Security, Penetration Testing and How to Hack (hacking, how to hack, penetration testing, basic security, arduino, python, engineering)

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Do You Want To Learn How To Hack?

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Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites

Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media SitesFacebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they’re talking about, or where they’re located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed.

Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.

  • Get a straightforward synopsis of the social web landscape
  • Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn
  • Learn how to employ easy-to-use Python tools to slice and dice the data you collect
  • Explore social connections in microformats with the XHTML Friends Network
  • Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
  • Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits

“Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python.”

–Jeff Hammerbacher, Chief Scientist, Cloudera

“A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data.”

–Alex Martelli, Senior Staff Engineer, Google

Price: $39.99

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Python: Learn Python Regular Expressions FAST! – The Ultimate Crash Course to Learning the Basics of Python Regular Expressions In No Time (Python, Python … Python Regular Expressions Books)

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Python Regular Expressions
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Gray Hat Python: Python Programming for Hackers and Reverse Engineers

Gray Hat Python: Python Programming for Hackers and Reverse EngineersPython is fast becoming the programming language of choice for hackers, reverse engineers, and software testers because it's easy to write quickly, and it has the low-level support and libraries that make hackers happy. But until now, there has been no real manual on how to use Python for a variety of hacking tasks. You had to dig through forum posts and man pages, endlessly tweaking your own code to get everything working. Not anymore.

Gray Hat Python explains the concepts behind hacking tools and techniques like debuggers, trojans, fuzzers, and emulators. But author Justin Seitz goes beyond theory, showing you how to harness existing Python-based security tools – and how to build your own when the pre-built ones won't cut it.

You'll learn how to:

  • Automate tedious reversing and security tasks
  • Design and program your own debugger
  • Learn how to fuzz Windows drivers and create powerful fuzzers from scratch
  • Have fun with code and library injection, soft and hard hooking techniques, and other software trickery
  • Sniff secure traffic out of an encrypted web browser session
  • Use PyDBG, Immunity Debugger, Sulley, IDAPython, PyEMU, and more

The world's best hackers are using Python to do their handiwork. Shouldn't you?

Price: $39.95

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