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What general tips do you have for golfing(tips and tricks) in C?

1. Use bitwise XOR or - minus sign to check for inequality between integers:

  • if(a^b) instead of if(a!=b) save 1 character.
  • if(a-b) instead of if(a!=b) also save 1 character.

2. Abuse main's argument list to declare one or more integer variables:

3. The comma operator can be used to execute multiple expressions in a single block while avoiding braces:

4. The ternary conditional operator ?: can often be used as a stand in for simple if-else statements at considerable savings:

5. #define macros whose expansion has unbalanced braces/parentheses:

6. Use *a instead of a[0] for accessing the first element of an array.

7. Combine assignment with function calls:

JavaExplore

Instead of this:

Do this:

8. Initialize multiple variables together:

Instead of this:

Do this:

9. Collapse zero/nonzero values

When you have an integer value and you need to collapse it to either 1 or 0, you can use !! to do so easily. This is sometimes advantageous for other alternatives like ?:.

Take this situation:

You could instead do this:

Another example:

Could be rewritten as:

10. Avoid catastrophic function-argument type declarations

If you're declaring a function where all five arguments are ints, then life is good. you can simply write

But suppose d needs to be a char, or even an int*. Then you're screwed! If one parameter is preceded by a type, all of them must be:

But wait! There is a way around this disastrous explosion of useless characters. It goes like this:

This even saves on a standard main declaration if you need to use the command-line arguments:

is two bytes shorter than

You can submit your own in comment section.

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by Yanchang Zhao, RDataMining.com

There are more than 100 R tips at http://pj.freefaculty.org/R/Rtips.html, which provide quick examples to small challenges in everyday R programming, especially for users switching from other languages to R. There is also a .PDF version for it at http://pj.freefaculty.org/R/Rtips.pdf.

It presents short examples on:
– Data Input/Output
– Working with data frames: Recoding, selecting, aggregating
– Matrices and vector operations
– Applying functions, tapply, etc
– Graphing
– Common Statistical Chores
– Model Fitting (Regression-type things)
– Packages
– Misc. web resources
– R workspace
– Interface with the operating system
– Stupid R tricks: basics you can’t live without
– Misc R usages I find interesting.

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