- Keep all scripts/programs under your home to get them backed up automatically!
- Master the editor you are using. Know how to search (forwards/backwards, case sensitive/insensitive, whole words, ...)
- Write comments (so others have it easier to understand your code as well as yourself)
- Use indentation (helps to read the code and find errors)
- Use colors (helps to read the code and find errors)
- Give names (for scripts/programs/variables) which have a “meaning”. This also applies for email “subjects”
- Verify your script/program section by section
- If possible, chop your problem up into smaller problems. For example, if you want to plot daily means from hourly data, write one script to create the daily data (for this you can use r.diag/editfst for RPN files and CDO/NCO for NetCDF files), verify that the new files are correct, then write a Matlab/Python script that only plots the data.
- Reduce memory usage:
- Matlab/Python: use 32-bit instead of 64-bit real/float numbers
- Do not load all data at the same time but only one file or even just one record at the time, treat it and then read the next record/file
- Reuse variables (this is more important than giving them meaningful names!) - When using nested loops make sure to use them in the right order.
In languages which do not need to get compiled, like Matlab and Python, loops over all elements of large arrays should be avoided as they are very time consuming.
If you have to loop over all the elements of an array make sure you nest the loops in the right order. Let's say you want to loop over all the elements of the array humi(ni,nj,nk). Then the order of your loops should be:Python/C:
loop over i
loop over j
loop over k
if humi(i,j,k) < 0, set humi(i,j,k) = 0.
end loop over k
end loop over j
end loop over i
Matlab/Fortran:
loop over k
loop over j
loop over i
if humi(i,j,k) < 0, set humi(i,j,k) = 0.
end loop over i
end loop over j
end loop over k
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