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Top Forums UNIX for Advanced & Expert Users Planning on writing a Guide to Working with Large Datasets Post 302248604 by Legend986 on Saturday 18th of October 2008 05:34:10 PM
Old 10-18-2008
Actually I was thinking even PHP was not necessary but that being my core expertise, I thought I'd cover where it would be useful. Perl is more regex centric and so it seems to suffice for most large dataset processing but if anyone is kind enough to explain the power of Python, that would be great too! Smilie
 

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PYTHON-COVERAGE(1)					      General Commands Manual						PYTHON-COVERAGE(1)

NAME
python-coverage - measure code coverage of Python program execution SYNOPSIS
python-coverage -x module.py [ARG...] python-coverage -e python-coverage -r [-m] python-coverage -a [file...] DESCRIPTION
python-coverage executes a Python program and measures which of its statements are executed and which are not. It stores the information in the file .coverage in the current working directory. OPTIONS
-e Erase the .coverage file. -x Execute a Python module, giving it the remaining command line arguments. -r Produce a coverage report. -m With -r, show the line numbers that were missed by the execution. -a Annotate source files. For each source file foo, produce foo,cover, with executed lines prefixed by ">" and non-executed by "!". --help Produce a help summary. It might be more helpful than this manual page. AUTHOR
The python-coverage command is a one-line Python script which calls the coverage.py Python module to do all the work. The module was rigi- nally developed by Gareth Rees, and is now developed by Ned Batchelder. The module's home page is http://www.nedbatchelder.com/code/modules/coverage.html. This manual page was cobbled together by Lars Wirzenius for Debian, by copy-pasting from the help texts from the module. PYTHON-COVERAGE(1)
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