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        "author": "Martin Virtel",
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        "description": "# UNIX pipe fittings for statistics\n\nIn the quest for [command line data science](https://github.com/jeroenjanssens/data-science-at-the-command-line), \nthis kit contains three command line utilities intended to be used in UNIX pipes.\n\nAll three process STDIN to STDOUT output their docstrings if run without parameters.\n\nPython 3 is required. \n\n## sd_c  (smalldata count)\n\nIs a regular expression counter filter, contained in `smalldata/counter.py`. Please see docstring for further help.\n\n## sd_g  (smalldata groupby) \n\nConcatenates lines from stdin that match a regular expression, contained in `smalldata/groupby.py`. Please see docstring.\n\n## sd_e (smalldata extract)  \n\nIn the spirit of [RegExSerDe](https://github.com/apache/hive/blob/trunk/contrib/src/java/org/apache/hadoop/hive/contrib/serde2/RegexSerDe.java), this\ntool uses regular expressions to generate a CSV file from a free-form text file. It is contained in `smalldata/extract.py` and has a docstring.\n\n\n## Other Useful Tools\n\nIf you've got CSV files, you should definitively check out [q](http://harelba.github.io/q/). \n\n## To Do\n\nA cookbook would be nice. Showing how to analyze log files etc.\n\n## History\n\nUsed to live in a gist: https://gist.github.com/martinvirtel/94cf47f64bf304e1c66598e93cd565c4\n\n\n\n\n",
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