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 Thu 6th Dec 2012 16:10 UTC in reply to "RE: But ...."
Hypnos
Member since:
2008-11-19

Thanks for the summary!

If you have tabular data, it's easy to ingest with numpy into C arrays that you can work on with SciPy libraries. This is what many astronomers do, who have data sets at least as large.

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