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.
SKU
EBP-1934520
Category Reference
Tags Adam Kolawa, Alberto Savoia, Andrew Kuchling, Andrew Patzer, Ashish Gulhati, Brian W. Kernighan, Bryan Cantrill, Charles Petzold, Diomidis Spinellis, Douglas C. Schmidt, Douglas Crockford, Elliotte Rusty Harold, Greg Kroah-Hartman, Henry S. Warren Jr., Jack Dongarra, Jeffrey Dean, Jim Kent, Jon L. Bentley, Karl Fogel, Lincoln Stein, Michael C. Feathers, Poitr Luszczek, R. Kent Dybuig, Rafael Monnerat, Rogério Atem de Carvalho, Ronald Mak, Sanjay Ghemawat, Simon Peyton Jones, Tim Bray, Travis E. Oliphant, William R. Otte
Beautiful Code: Leading Programmers Explain How They Think
$4.99
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