Linked by Thom Holwerda on Mon 3rd Dec 2012 22:51 UTC
General Unix "Few tools are more indispensable to my work than Unix. Manipulating data into different formats, performing transformations, and conducting exploratory data analysis (EDA) is the lingua franca of data science.1 The coffers of Unix hold many simple tools, which by themselves are powerful, but when chained together facilitate complex data manipulations. Unix's use of functional composition eliminates much of the tedious boilerplate of I/0 and text parsing found in scripting languages. This design creates a simple and succinct interface for manipulating data and a foundation upon which custom tools can be built. Although languages like R and Python are invaluable for data analysis, I find Unix to be superior in many scenarios for quick and simple data cleaning, idea prototyping, and understanding data. This post is about how I use Unix for EDA."
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RE[2]: But ....
by Hypnos on Tue 4th Dec 2012 02:19 UTC in reply to "RE: But ...."
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To be fair, Unix log files are actually designed in a way that make it easy analyze them with awk or perl -- they are structured line-by-line. It's a wonderfully sensible convention set to be discarded by the systemd folks ;)

Regarding Python, SciPy is a bunch of high-performance C(++) and Fortran libraries glued together by Python+NumPy. It's really becoming a viable substitute for IDL.

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