skaae

import numpy as np
class ConfusionMatrix:
    """
       Simple confusion matrix class
       row is the true class, column is the predicted class
    """
    def __init__(self, n_classes, class_names=None):
        self.n_classes = n_classes
        if class_names is None:
            self.class_names = map(str, range(n_classes))

ctokheim

Cython

Cython has two major benefits:

1. Making python code faster, particularly things that can't be done in scipy/numpy
2. Wrapping/interfacing with C/C++ code

Cython gains most of it's benefit from statically typing arguments. However, statically typing is not required, in fact, regular python code is valid cython (but don't expect much of a speed up). By incrementally adding more type information, the code can speed up by several factors. This gist just provides a very basic usage of cython.

nicktoumpelis

git clean -xfd
git submodule foreach --recursive git clean -xfd
git reset --hard
git submodule foreach --recursive git reset --hard
git submodule update --init --recursive

phobson

import pyodbc
import numpy as np
import datetime
import pandas

def processCursor(cur, dataframe=False):
    datatypes = []
    colinfo = cur.description
    for col in colinfo:
        if col[1] == unicode:

BigglesZX

Dreamhost supplies a fairly old version of Python in their shared hosting environments. It recently became necessary for me to use a newer version, and since this involved a bit of juggling, and since I’m also likely to forget how I did it, I thought I’d detail the steps here. These instructions should work with any Dreamhost shared hosting user, but follow them at your own risk.

The end result of this process is being able to run a current version of Python from your shared hosting user’s shell. It requires compiling, installing and running Python from your home directory rather than the system bin directories.

1. Create a helpful working directory
I chose to install all Python-related stuff in a python/ directory under my user’s home directory.

$ mkdir ~/python
$ cd ~/python

zed

/build/
*.so
*.cpp
/cachegrind.out.profilestats
/profilestats.prof
/build1darray.s

fnando

upstream tunnel {
  server 127.0.0.1:3000;
}

server {
  listen 80;
  server_name dev.codeplane.com br.dev.codeplane.com;
  
  location / {
    proxy_set_header  X-Real-IP  $remote_addr;

saghul

# coding=utf8

# Copyright (C) 2011 Saúl Ibarra Corretgé <saghul@gmail.com>
#

# Some inspiration taken from: http://www.morethantechnical.com/2009/03/05/qt-opencv-combined-for-face-detecting-qwidgets/

import cv
import sys