Suggested Reading
The following articles and books are a good place to start if you’re looking for more information on reading and writing data files:
- RFC20, “ASCII Format for Network Interchange.” Vint Cerf, 1969.
This early RFC document is available online at http://www.faqs.org/rfcs/rfc20.html.
- RFC 4810, “Common Format and MIME Type for Comma-Separated Values (CSV) Files.” Y. Shafranovich, Network Working Group, The Internet Society, 2005.
RFC 4810 defines the format used for the “text/csv” MIME type for CSV files. It is available at http://tools.ietf.org/html/rfc4180.
- PEP 305, “CSV File API.” K. Altis et al., python.org, 2008.
PEP 305 defines the API for Python’s standard CSV module. It is a helpful supplement to the documentation for the Python standard library. PEP 305 is available at http://www.python.org/dev/peps/pep-0305/.
- Beautiful Data: The Stories Behind Elegant Data Solutions. T. Segaran and J. Hammerbacher (eds.), O’Reilly Media, 2009.
A fascinating collection of essays and technical papers covering a wide range of topics in data acquisition, processing, and visualization. A great book to browse for ideas when you need to find a way to present data sets in a comprehensible form.
- Python Essential Reference, 4th ed. David M. Beazley, Addison-Wesley, 2009.
Although not a book I’d recommend to someone just starting out with Python, this is an excellent reference work that covers the core Python language and libraries, including Python’s advanced features, such as generators, coroutines, ...
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