crmccreary

======================================================
Setting up Django using Apache/mod_wsgi on Ubuntu 8.10
======================================================

This article will cover setting up Django using Apache/mod_wsgi on Ubuntu
8.10. The article is targeted at a production environment, but keep in mind
this is a more generalized environment. You may have different requirements,
but this article should at least provide the stepping stones.

The article will use distribution packages where nesscary. As of 8.10 the

crmccreary

import numpy as np
import matplotlib.pyplot as plt
import scipy
from scipy.interpolate import interp1d
import math

PSD = np.array([[0.001,1.0e-8],
                [5.0, 0.001],
                [25.0, 0.03],
                [30.0, 0.03],

crmccreary

for name in *.ogg; do ffmpeg -ab 192k -i "$name" -map_meta_data 0:0,s0 "$(basename "$name" .ogg).mp3"; done;

crmccreary

# For 9.10 to 10.10
sudo wget http://www.medibuntu.org/sources.list.d/`lsb_release -cs`.list --output-document=/etc/apt/sources.list.d/medibuntu.list && sudo apt-get -q update && sudo apt-get --yes -q --allow-unauthenticated install medibuntu-keyring && sudo apt-get -q update
sudo apt-get install ffmpeg libavcodec-extra-52

crmccreary

from numpy import sqrt, cos, sin, exp, arange, amax, absolute
from math import pow
from matplotlib import *
from pylab import *

def theta_func(L, g, m, x):
    tmp = (179.5*pow(g,3./2.)*L*sin((sqrt(g)*x)/sqrt(L))*sin(x*(3.132-sqrt(g)/sqrt(L)))-\
           179.5*pow(g,3./2.)*L*cos((sqrt(g)*x)/sqrt(L))*cos(x*(3.132-sqrt(g)/sqrt(L)))-\
           5514.8*pow(L,5./2.)*sin((sqrt(g)*x)/sqrt(L))*sin(x*(3.132-sqrt(g)/sqrt(L)))+\
           5514.8*pow(L,5./2.)*cos((sqrt(g)*x)/sqrt(L))*cos(x*(3.132-sqrt(g)/sqrt(L)))+\

crmccreary

from numpy import sin, cos
import scipy
from scipy.integrate import odeint
from scipy import arange, array

def func(y, t, L, S, g, c, scale):
    theta = y[0]
    d_theta_dt = y[1]
    return (d_theta_dt, -g/L*sin(theta)-scale*S(t)/L*cos(theta)-c*d_theta_dt) 

crmccreary

import subprocess
import os
import argparse
import pp
'''
Parallel transcoding of ogg files to mp3. And yes, lossy to lossy is a bad idea.
Needed to do this since Google's Music Beta doesn't support ogg and that's the
format in which my music is encoded.

This works on linux (ffmpeg), and needs the uncrippled ffmpeg (mp3 support, http://ubuntuforums.org/archive/index.php/t-1117283.html)

crmccreary

import os
import sys
import odbAccess
from glob import glob
import re
from collections import defaultdict
import numpy as NP
import subprocess

def open_odb(odbPath):

crmccreary

        for i,(time,temp) in enumerate(time_temp):
            if not (i % 4):
                f_amp.write('\n')
            f_amp.write('%s,%s,' % (time,temp))
        f_amp.write('\n')

crmccreary

def uniquefy(seq, idfun=None):
    # order preserving
    if idfun is None:
        def idfun(x): return x
    seen = {}
    result = []
    for item in seq:
        marker = idfun(item)
        # in old Python versions:
        # if seen.has_key(marker)