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نام کتاب
Beautiful Code

Leading Programmers Explain How They Think

Andy Oram, Greg Wilson

Paperback619 Pages
PublisherO'Reilly
Edition1
LanguageEnglish
Year2007
ISBN9780596510046
816
A4735
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#Programmers

#Software_development

توضیحات


How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.


This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules.


This book contains 33 chapters contributed by Brian Kernighan, Karl Fogel, Jon Bentley, Tim Bray, Elliotte Rusty Harold, Michael Feathers, Alberto Savoia, Charles Petzold, Douglas Crockford, Henry S. Warren, Jr., Ashish Gulhati, Lincoln Stein, Jim Kent, Jack Dongarra and Piotr Luszczek, Adam Kolawa, Greg Kroah-Hartman, Diomidis Spinellis, Andrew Kuchling, Travis E. Oliphant, Ronald Mak, Rogerio Atem de Carvalho and Rafael Monnerat, Bryan Cantrill, Jeff Dean and Sanjay Ghemawat, Simon Peyton Jones, Kent Dybvig, William Otte and Douglas C. Schmidt, Andrew Patzer, Andreas Zeller, Yukihiro Matsumoto, Arun Mehta, TV Raman, Laura Wingerd and Christopher Seiwald, and Brian Hayes.


Beautiful Code is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International.


Table of Contents

  1. A Regular Expression Matcher
  2. Subversion's Delta Editor: Interface As Ontology
  3. The Most Beaut iful Code I Never Wrote
  4. Finding Things
  5. Correct, Beautiful, Fast (in That Order): Lessons from Designing XML Verifiers
  6. Framework for Integrated Test: Beauty Through Fragility
  7. Beautiful Tests
  8. On-the-Fly Code Generation for Image Processing
  9. Top Down Operator Precedence
  10. The Quest for an Accelerated Population Count
  11. Secure Communication: The Technology Of Freedom
  12. Growing Beautiful Code in BioPerl
  13. The Design of the Gene Sorter
  14. How Elegant Code Evolves with Hardware: The Case of Gaussian Elimination
  15. The Long-Term Benefits of Beautiful Design
  16. The Linux Kernel Driver Model: The Benefits of Working Together
  17. Another Level of Indirection
  18. Python's Dictionary Implementation: Being All Things to All People
  19. Multidimensional Iterators in NumPy
  20. A Highly Reliable Enterprise System for NASA's Mars Rover Mission
  21. ERPS: Designing for Maximum Adaptability
  22. A Spoonful of Sewage
  23. Distributed Programming with MapReduce
  24. Beautiful Concurrency
  25. Syntactic Abstraction: The syntax-case Expander
  26. Labor-Saving Architecture: An Object-Oriented Framework for Networked Software
  27. Integrating Business Partners the RESTful Way
  28. Beautiful Debugging
  29. Treating Code As an Essay
  30. When a Button Is All That Connects You to the World
  31. Emacspeak: The Complete Audio Desktop
  32. Code in Motion
  33. Writing Programs for "The Book"


About the Authors

Andy Oram is an editor at O'Reilly Media, a highly respected book publisher and technology information provider. An employee of the company since 1992, Andy currently specializes in free software and open source technologies. His work for O'Reilly includes the first books ever published commercially in the United States on Linux, and the 2001 title Peer-to-Peer. His modest programming and system administration skills are mostly self-taught.


Greg Wilson holds a Ph.D. in Computer Science from the University of Edinburgh, and has worked on high-performance scientific computing, data visualization, and computer security. He is the author of Data Crunching and Practical Parallel Programming (MIT Press, 1995), and is a contributing editor at Doctor Dobb's Journal, and an adjunct professor in Computer Science at the University of Toronto.

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