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HTTP Programming Recipes for Java Bots Paperback – April 17, 2007


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Product Details

  • Paperback: 680 pages
  • Publisher: Heaton Research, Inc. (April 17, 2007)
  • Language: English
  • ISBN-10: 0977320669
  • ISBN-13: 978-0977320660
  • Product Dimensions: 7.5 x 1.4 x 9.2 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,282,718 in Books (See Top 100 in Books)

Editorial Reviews

About the Author

Jeff Heaton is an author, college instructor, and consultant. Jeff lives in Chesterfield (St. Louis), Missouri. The author of seven books and over two dozen journal and magazine articles, Jeff specializes in Internet, socket-level/spidering and Artificial Intelligence programming. A Sun Certified Java Programmer and a Senior Member of the IEEE. Jeff holds a Masters Degree in Information Management from Washington University in St. Louis.

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5 of 5 people found the following review helpful By Peter V. Kasson on February 21, 2008
Format: Paperback
This is quite a complete book for anyone wishing to write bots in any language (if he knows Java well enough to understand the examples). It covers protocol, parsing and techniques of writing them along with good practices.

It offers a good introduction/foundation for beginners to intermediate developers. The chapter on HTTPS goes into good detail of the nuances of secure and non-secure interactions of HTTP communications.

Extracting data from the web is covered extensibly in various examples with well described reasons and approaches to technique and purpose. The examples are easy to understand and read.

For anyone wishing to start writing applications that automate web interactions, data retrieval or creating and automating bots, this is a good book for the job.
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More About the Author

Jeff Heaton is a data scientist, PhD student and indy publisher. Specializing in Java, C#, C/C++, Python and R, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling, data mining, big data, business intelligence, and artificial intelligence. Jeff holds a Master's Degree in Information Management from Washington University. He is also a senior member of the IEEE, a Sun-Certified Java Programmer, the lead developer for the Encog Machine Learning Framework open source project, and a fellow of the Life Management Institute (FLMI).

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