huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

GaelVaroquaux

Cython example of exposing C-computed arrays in Python without data copies

The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.

The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy

WeatherGod

So, provided you have some image files of form "_tmp0000.png", you can run generate_movies.sh to create a "result.txt" file which contains a list of the files successfully generated.

Additional columns are used to indicate testing status: '1' (failed), '0' (successful), '0.5' (works, but serious artifacts), '?' (couldn't try).

The script will provide the first column by testing if the movie plays using ffplay. Note, no movie gets displayed to the screen, so this is fairly quick. I have included my "result.txt" file which contains testing results for additional platforms. Platforms are:
* LibreOffice Impress on Linux
* QuickTime on Mac
* MS Office PowerPoint on Mac
* OpenOffice Impress on Mac

deeplycloudy

""" Play an audio file with pyaudio while concurrently showing audio playhead 
on a matplotlib plot of the audio time series and spectrogram.

Adjust duration and filename in the script below to reflect your audio file.

v. 0.1
21 Mar 2012 
Eric Bruning
"""

vene

# Author: Vlad Niculae <vlad@vene.ro>
# Makes use of memory_profiler from Fabian Pedregosa
# available at https://github.com/fabianp/memory_profiler

from IPython.core.magic import Magics, line_magic, magics_class


class MemMagics(Magics):
    @line_magic
    def memit(self, line='', setup='pass'):

sklam

import json
from pprint import pprint as pp

import numpy as np
from numba import autojit, typeof, int32

INF = float('inf')

@autojit
def jenks_matrics_init(data, n_classes, ):

splinterofchaos

#ifndef PY_H
#define PY_H

#include <Python.h>
#include <type_traits>
#include <utility>
#include <string>

template<typename R, typename...X>

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

teoliphant

import numpy as np

def array_for_sliding_window(x, wshape):
    """Build a sliding-window representation of x.

    The last dimension(s) of the output array contain the data of
    the specific window.  The number of dimensions in the output is 
    twice that of the input.

    Parameters

mcnees

%%-----------------------------------------------------------------------
%% Make your own quadrille, graph, hex, etc paper!
%% Uses the pgf/TikZ package for LaTeX, which should be part of
%% any modern TeX installation.
%% Email: mcnees@gmail.com 
%% Twitter: @mcnees
%%-----------------------------------------------------------------------

\documentclass[11pt]{article}