Rob Pike's 5 Rules of Programming
Rule 1: You can't tell where a program is going to spend its time. Bottlenecks occur in surprising places, so don't try to second guess and put in a speed hack until you've proven that's where the bottleneck is.
Rule 1: 你无法说出程序运行所花费的时间。 意外之处出现瓶颈，因此不要去尝试猜测和加快速度直到你已证明这就是瓶颈所在。
Rule 2: Measure. Don't tune for speed until you've measured, and even then don't unless one part of the code overwhelms the rest.
Rule 2: 测量。 不要调整速度直到你已进行测量，即使这样也不能，除非代码的一部分能够覆盖其余部分。
Rule 3: Fancy algorithms are slow when n is small, and n is usually small. Fancy algorithms have big constants. Until you know that n is frequently going to be big, don't get fancy. (Even if n does get big, use Rule 2 first.)
Rule 3: 当n小时，花哨的算法很慢，n通常很小。花哨的算法有很大的常量。不要幻想除非你确切知道n在频繁的变的很大。(即使n确实变大，首先使用Rule 2)
Rule 4: Fancy algorithms are buggier than simple ones, and they're much harder to implement. Use simple algorithms as well as simple data structures.
Rule 4: 花式算法比简单算法笨拙，并且他们实现更加困难。 使用简单的算法以及简单的数据结构。
Rule 5: Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
Rule 5: 数据占主导地位。 如果你已选择正确的数据结构且正确组织他们，那么算法几乎总是不言而喻的。数据结构而非算法，是编程的核心。
Brief Notes
Pike's rules 1 and 2 restate Tony Hoare's famous maxim "Premature optimization is the root of all evil."
Ken Thompson rephrased Pike's rules 3 and 4 as "When in doubt, use brute force.". Rules 3 and 4 are instances of the design philosophy KISS.
Rule 5 was previously stated by Fred Brooks in The Mythical Man-Month. Rule 5 is often shortened to "write stupid code that uses smart objects".
Who is Rob Pike?
Rob Pike, is now a Distinguished Engineer at Google co-authoring Go programming language, apart from other things. Prior to this stint, he worked at Bell Labs as a core member of the Unix Team.
Author of popular books like The Practice of Programming and Unix Programming Environment
-
Rob Pike，一个卓越的工程师，除其他工作外，在Google合作开发Go编程语言。在此之前，在贝尔实验室作为Unix团队核心成员。
-
The Practice of Programming and Unix Programming Environment等畅销书作者。
References
Content is shamelessly copy-pasted from http://users.ece.utexas.edu/~adnan/pike.html
Posted by Karthik Sirasanagandla at Sunday, September 17, 2017
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Labels: clean code, Performance, programming, ProTips
http://blog.codonomics.com/2017/09/rob-pikes-5-rules-of-programming.html
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Rob Pike's 5 Rules of ProgrammingRule 1: You can't tell where a program is going to spend its time. Bottlenecks occur in surprising places, so don't try to second guess and put in a speed hack until you've proven that's where the bottleneck is.
Rule 1: 你无法说出程序运行所花费的时间。 意外之处出现瓶颈，因此不要去尝试猜测和加快速度直到你已证明这就是瓶颈所在。
Rule 2: Measure. Don't tune for speed until you've measured, and even then don't unless one part of the code overwhelms the rest.
Rule 2: 测量。 不要调整速度直到你已进行测量，即使这样也不能，除非代码的一部分能够覆盖其余部分。
Rule 3: Fancy algorithms are slow when n is small, and n is usually small. Fancy algorithms have big constants. Until you know that n is frequently going to be big, don't get fancy. (Even if n does get big, use Rule 2 first.)
Rule 3: 当n小时，花哨的算法很慢，n通常很小。花哨的算法有很大的常量。不要幻想除非你确切知道n在频繁的变的很大。(即使n确实变大，首先使用Rule 2)
Rule 4: Fancy algorithms are buggier than simple ones, and they're much harder to implement. Use simple algorithms as well as simple data structures.
Rule 4: 花式算法比简单算法笨拙，并且他们实现更加困难。 使用简单的算法以及简单的数据结构。
Rule 5: Data dominates. If you've chosen the right data structures and organized things well, the algorithms will almost always be self-evident. Data structures, not algorithms, are central to programming.
Rule 5: 数据占主导地位。 如果你已选择正确的数据结构且正确组织他们，那么算法几乎总是不言而喻的。数据结构而非算法，是编程的核心。
Brief Notes
Pike's rules 1 and 2 restate Tony Hoare's famous maxim "Premature optimization is the root of all evil."
Ken Thompson rephrased Pike's rules 3 and 4 as "When in doubt, use brute force.". Rules 3 and 4 are instances of the design philosophy KISS.
Rule 5 was previously stated by Fred Brooks in The Mythical Man-Month. Rule 5 is often shortened to "write stupid code that uses smart objects".
Who is Rob Pike?
Rob Pike, is now a Distinguished Engineer at Google co-authoring Go programming language, apart from other things. Prior to this stint, he worked at Bell Labs as a core member of the Unix Team.
Author of popular books like The Practice of Programming and Unix Programming Environment
-
Rob Pike，一个卓越的工程师，除其他工作外，在Google合作开发Go编程语言。在此之前，在贝尔实验室作为Unix团队核心成员。
-
The Practice of Programming and Unix Programming Environment等畅销书作者。
References
Content is shamelessly copy-pasted from http://users.ece.utexas.edu/~adnan/pike.html
Posted by Karthik Sirasanagandla at Sunday, September 17, 2017
Email ThisBlogThis!Share to TwitterShare to FacebookShare to Pinterest
Labels: clean code, Performance, programming, ProTips
http://blog.codonomics.com/2017/09/rob-pikes-5-rules-of-programming.html