Beautiful Code: Leading Programmers Explain How They Think (Theory in Practice (O'Reilly)) (英語) ペーパーバック – 2007/6/26
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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, KarlFogel, 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 PiotrLuszczek, Adam Kolawa, Greg Kroah-Hartman, Diomidis Spinellis, AndrewKuchling, Travis E. Oliphant, Ronald Mak, Rogerio Atem de Carvalho andRafael Monnerat, Bryan Cantrill, Jeff Dean and Sanjay Ghemawat, SimonPeyton Jones, Kent Dybvig, William Otte and Douglas C. Schmidt, AndrewPatzer, 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.
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.
Worth the read but not convinced it is worth the cost.
I started more than half the chapters and skipped on because either it was too obtuse or specific to a given language/problem or too general to be useful.
However there are also some great chapters.
If you are looking for a gift for the tech-head who has everything then this could be a good choice. If funds are tight and you are buying for yourself you probably have better ways to spend the cash.
I can't be too critical. The intent was noble and good. The authors are donating any profits to charity. I can't point to a better way of writing/structuring the book.
So yes it's good and I liked it but my praise is conditional and constrained. I feel churlish for saying these negative things because it is, as I said, well intentioned. I just wish it was better described as it was not what I thought I'd be getting. Not that I feel ripped off, just a little bemused.