Bits of py

This is my building, I want to know how much each floor moves in an earthquake... Also it would be nice to know the acceleration experienced by each floor. First off we need some data. I have an earthquake data file containing ground acceleration data from the Kobe earthquake  of 1995. It is a matlab file, so the data will have to be extracted into a numpy format. Scipy has an io module which contains a matlab submodule. Since we want to visualize this data somehow, the pylab package will also be used. Firstly I'll make a small helper function that enforces complex symmetry, useful for after the frequency domain analysis: from scipy.io import matlab as mio from pylab import plot , show , ylabel , xlabel , title , figure , legend , annotate import numpy as np def enforce_complex_sym ( array , nyquist ): '''Enforce complex symmetry''' array [:, nyquist + 1 :] = np . conj ( array [:, nyquist - 1 : 0 : - 1 ]) Next I'l

Today I had to automatically access my Gmail inbox from Python. I needed the ability to get an unread email count, the subjects of those unread emails and then download them. I found a Gmail.py library on sourceforge, but it actually opened the normal gmail webpage and site scraped the info. I wanted something much faster, luckily gmail can now be accessed with both pop and imap. After a tiny amount of research I decided imap was the better albiet slightly more difficult protocol. Enabling imap in gmail is straight forward, it was under labs. The address for gmail's imap server is: imap.gmail.com:993 Python has a library module called imaplib , we will make heavy use of that to access our emails. I'm going to assume that we have already defined two globals - username and password. To connect and login to the gmail server and select the inbox we can do: import imaplib imap_server = imaplib . IMAP4_SSL ( "imap.gmail.com" , 993 ) imap_server . login ( use