shawnchin

# 
# Based on multiprocessing.sharedctypes.RawArray
#
# Uses posix_ipc (http://semanchuk.com/philip/posix_ipc/) to allow shared ctypes arrays 
# among unrelated processors
# 
# Usage Notes:
#    * The first two args (typecode_or_type and size_or_initializer) should work the same as with RawArray.
#    * The shared array is accessible by any process, as long as tag matches.
#    * The shared memory segment is unlinked when the origin array (that returned 

takluyver

Copy nbflatten.py to somewhere on $PATH. Then, in the root of a git repository, run these commands:

echo "*.ipynb diff=ipynb" >> .gitattributes 
git config diff.ipynb.textconv nbflatten.py

When you change a notebook and run git diff, you'll see the diff of flattened, simplified notebooks, rather than the full JSON. This does lose some information (metadata, non-text output), but it makes it easier to see simple changes in the notebook.

This doesn't help with merging conflicting changes in notebooks. For that, see nbdiff.org.

tillahoffmann

jcrist

import os

from dask.callbacks import Callback
from dask.dot import dot_graph


class Track(Callback):
    def __init__(self, path='dasks', save_every=1):
        self.path = path
        self.save_every = save_every

jjhelmus

#! /usr/bin/env python3
""" Find conda packages which use a binary prefix. """

import argparse
import bz2
import json
import os
import tarfile
import urllib.request

mrocklin

minrk

#!/usr/bin/env python
"""
Inspect MACOSX deployment targets of conda packages

Uses `otool -l` and checks for LC_VERSION_MIN_MACOSX command to verify that dylibs target the right version of OS X

BY: Min RK
LICENSE: CC0, Public Domain
"""

ericdill

import json
import glob
import os
from os.path import join, basename
# install this with "conda install -c conda-forge python-graphviz"
import graphviz as gv

# path to your conda environment
path = os.environ.get('CONDA_PREFIX')
if path is None:

jkatagi

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os.path
import re

from osgeo import gdal
from osgeo import gdal_array
from osgeo import osr

ogrisel

from pickle import Pickler, load

try:
    from pickle import PickleBuffer
except ImportError:
    PickleBuffer = None
import copyreg
import os
import numpy as np
import time