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Chapter 1: Style
1.1 Names
1.2 Expressions and Statements
1.3 Consistency and Idioms
1.4 Function Macros
1.5 Magic Numbers
1.6 Comments
1.7 Why Bother?
Chapter 2: Algorithms and Data Structures
2.1 Searching
2.2 Sorting
2.3 Libraries
2.4 A Java Quicksort
2.5 O-Notation
2.6 Growing Arrays
2.7 Lists
2.8 Trees
2.9 Hash Tables
2.10 Summary
Chapter 3: Design and Implementation
3.1 The Markov Chain Algorithm
3.2 Data Structure Alternatives
3.3 Building the Data Structure in C
3.4 Generating Output
3.5 Java
3.6 C++
3.7 Awk and Perl
3.8 Performance
3.9 Lessons
Chapter 4: Interfaces
4.1 Comma-Separated Values
4.2 A Prototype Library
4.3 A Library for Others
4.4 A C++ Implementation
4.5 Interface Principles
4.6 Resource Management
4.7 Abort, Retry, Fail?
4.8 User Interfaces
Chapter 5: Debugging
5.1 Debuggers
5.2 Good Clues, Easy Bugs
5.3 No Clues, Hard Bugs
5.4 Last Resorts
5.5 Non-reproducible Bugs
5.6 Debugging Tools
5.7 Other People's Bugs
5.8 Summary
Chapter 6: Testing
6.1 Test as You Write the Code
6.2 Systematic Testing
6.3 Test Automation
6.4 Test Scaffolds
6.5 Stress Tests
6.6 Tips for Testing
6.7 Who Does the Testing?
6.8 Testing the Markov Program
6.9 Summary
Chapter 7: Performance
7.1 A Bottleneck
7.2 Timing and Profiling
7.3 Strategies for Speed
7.4 Tuning the Code
7.5 Space Efficiency
7.6 Estimation
7.7 Summary
Chapter 8: Portability
8.1 Language
8.2 Headers and Libraries
8.3 Program Organization
8.4 Isolation
8.5 Data Exchange
8.6 Byte Order
8.7 Portability and Upgrade
8.8 Internationalization
8.9 Summary
Chapter 9: Notation
9.1 Formatting Data
9.2 Regular Expressions
9.3 Programmable Tools
9.4 Interpreters, Compilers, and Virtual Machines
9.5 Programs that Write Programs
9.6 Using Macros to Generate Code
9.7 Compiling on the Fly
Epilogue
Appendix: Collected Rules
Index
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Mai Tbaishat
reviewed The Practice of Programming on January 01, 2014
The Practice of Programming
Overall: a decent introduction to some of the lessons you'll learn after a few years in the trenches of real programming.
If you're fresh out of college and starting your first programming gig, read this book carefully. A lot of what it says may sound like common sense, but often people don't take it to heart. It will save you pain down the road. Kernighan and Pike know what you're talking about and you'd be wise to listen to them.
If you're already an experienced programmer there's probably not a whole lot here that will be new to you, but it's still worth reading to see how the authors talk about things. And who knows, there may be a lesson or two in it for you after all!
The book is *very* C and C++ focused, with occasional examples in Java, shell and Perl. A lot of the advice in it is specific to C, so if you're not a C programmer you can skim over some of the examples. But the lessons learned from the examples often translate to higher-level languages, so don't skip them entirely!
Oh, and if you're a Lisp programmer you'll want to skip the "Generating Code Using [C] Macros" section unless you have a strong stomach.
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