wilsaj

from flask import Flask, make_response
app = Flask(__name__)

@app.route("/simple.png")
def simple():
    import datetime
    import StringIO
    import random

    from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas

deepankarsharma

from glfwpy.glfw import (AUTO_POLL_EVENTS, OPENED, OPENGL_CORE_PROFILE,
    OPENGL_FORWARD_COMPAT, OPENGL_PROFILE, OPENGL_VERSION_MAJOR,
    OPENGL_VERSION_MINOR, WINDOW,
    Enable, GetWindowParam, Init, OpenWindow, OpenWindowHint,
    SetKeyCallback, SetWindowTitle, SwapBuffers, Terminate)
import numpy as np
from OpenGL.arrays import ArrayDatatype
from OpenGL.GL import (GL_ARRAY_BUFFER, GL_COLOR_BUFFER_BIT,
    GL_COMPILE_STATUS, GL_FALSE, GL_FLOAT, GL_FRAGMENT_SHADER,
    GL_LINK_STATUS, GL_RENDERER, GL_SHADING_LANGUAGE_VERSION,

deepankarsharma

from glfwpy.glfw import *
from glfwpy.utils.obj_loader import ObjGeometry
import sys
from OpenGL.GL import *
from OpenGL.arrays import ArrayDatatype
import time

vertex = """
#version 330
in vec3 vin_position;

haard

import zipfile, urllib, csv, os, codecs

def get_items(url):
    filename, headers = urllib.urlretrieve(url)
    try:
        with zipfile.ZipFile(filename) as zf:
            csvfiles = [name for name in zf.namelist()
                        if name.endswith('.csv')]
            for item in csvfiles:
                with zf.open(item) as source:

nbremer

height: 650
license: mit

dan-blanchard

For ETS's SKLL project, we found out the hard way that Travis-CI's support for numpy and scipy is pretty abysmal. There are pre-installed versions of numpy for some versions of Python, but those are seriously out of date, and scipy is not there are at all. The two most popular approaches for working around this are to (1) build everything from scratch, or (2) use apt-get to install more recent (but still out of date) versions of numpy and scipy. Both of these approaches lead to longer build times, and with the second approach, you still don't have the most recent versions of anything. To circumvent these issues, we've switched to using Miniconda (Anaconda's lightweight cousin) to install everything.

A template for installing a simple Python package that relies on numpy and scipy using Miniconda is provided below. Since it's a common s

bitemyapp

The Learning Haskell guide has been moved to a git repo to enable outside contribution

Find it here: https://github.com/bitemyapp/learnhaskell

tmaybe

How to Ignore Merge Conflicts for Specific Files in a Git Repository

Create a directory and git init it

$ mkdir merge-test
$ cd merge-test/
$ git init

coleifer

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb