Good afternoon,
If its not too big a task you could even convert the data
structure to JSON which is quite a close match to what you
have now and the json module will help you read/write
to them.
I would agree with the JSON recommendation (until your data set
grows to more than 10GB in size). Also, if you are operating with
JSON, you can add elements and delete elements and the serialization
bits don't care. This makes it more dynamic than a typical csv/tsv
format. The application still has to know about the data type, of
course.
I am not seeing JSON listed among python's standard libraries for
version 2.4.4. Is this something that has to be independently
installed?
Yes. The json module was 'only' added in Python 2.6. If you wanted
to operate on JSON in Python 2.4, you had to use something called
simplejson [0]. According to this post [0], the standard library
json module is a(n older) release of the simplejson module.
Anyway, when I found myself stuck in Python-2.4 land (on the stock
Python shipped with CentOS-5.x, for example), I often saw and wrote
snippets like this [1]:
try: # -- if Python-2.6+, it's in STDLIB
import json
except ImportError: # -- Python-2.4, simplejson
import simplejson as json
And, then the rest of the program can operate just the same,
regardless of which one you used.
Good luck,
-Martin
[0] https://pypi.python.org/pypi/simplejson/
[1]
http://stackoverflow.com/questions/712791/what-are-the-differences-between-json-and-simplejson-python-modules
--
Martin A. Brown
http://linux-ip.net/
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