zero1infinity + optimization   98

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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 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 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 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 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.

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".
optimization  programming 
april 2015 by zero1infinity
Less Than Dot - Blog - Bing, Google and Yahoo! announce Schema.org
s for structured data markup on web pages. With schema.org, webmasters and developers can le
seo  google  optimization  webdesign 
june 2011 by zero1infinity
CSS Images and Data URIs - ravelrumba
ve even one CSS image that must be served regularly you’re likely to encounter a performance penalty. The degree of the penalty depends on the size of your data URI CSS file, the size of the remaining image(s), and how many ot
css  tips  html  performance  optimization  data  uri 
december 2009 by zero1infinity
MySQL query optimization | Marius Stanciu Sergiu's weblog
g this feature on helps you to track all SQL queries which took longer than you expected. You can define your expectations in seconds using parameter long_query_time.

After the logging is turned on you can analyze the log contents using mysqldumpslow command. Ex. the following
mysql  performance  optimization 
september 2009 by zero1infinity
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