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@jakirkham
jakirkham / numpy_pickle_protocol_5.py
Created August 1, 2018 04:48 — forked from ogrisel/numpy_pickle_protocol_5.py
Draft use of pickle protocol 5 (PEP 574) for zero-copy numpy array pickling
from pickle5 import Pickler, load, PickleBuffer
import copyreg
import os
import numpy as np
import time
import gc
import io
from multiprocessing import get_context
@jakirkham
jakirkham / shmemctypes.py
Created June 23, 2018 15:00 — forked from shawnchin/shmemctypes.py
shm_open() version of multiprocessing.sharedctypes.RawArray
#
# 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
@jakirkham
jakirkham / dask_example_copy_access.py
Last active June 1, 2018 17:17 — forked from hanslovsky/dask_example.py
Show dask array in BigDataViewer
import ctypes
import dask.array
import dask.array.image
import dask.array as da
import numpy as np
import os
import pathlib
import skimage.io
import subprocess
import sys
@jakirkham
jakirkham / 20180123.txt
Created January 23, 2018 16:03 — forked from pkgw/20180123.txt
Check Travis CI queue for conda-forge feedstocks
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@jakirkham
jakirkham / zarr_cache.py
Created November 25, 2017 23:05 — forked from alimanfoo/zarr_cache.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import, print_function, division
import itertools
import operator
import hashlib
import pickle
import sys
import zarr
@jakirkham
jakirkham / cython_line_profiler.ipynb
Created November 9, 2017 18:48 — forked from tillahoffmann/cython_line_profiler.ipynb
Demonstration of line-by-line profiling for `cython` functions.
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@jakirkham
jakirkham / render_env.py
Created September 15, 2017 18:10 — forked from ericdill/render_env.py
Render the dependency graph for your conda environment (needs graphviz!)
import json
import glob
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 = '/tmp/foo'
dg = gv.Digraph(filename='env-%s' % basename(path), format='svg')
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jakirkham / update_token.py
Created August 14, 2017 23:47 — forked from jjhelmus/update_token.py
Python script to update the Anaconda upload token in conda-forge feedstocks
from __future__ import print_function
import os
import requests
import ruamel.yaml
with open(os.path.expanduser('~/.conda-smithy/circle.token'), 'r') as fh:
circle_token = fh.read().strip()
@jakirkham
jakirkham / progress-example.ipynb
Created May 30, 2017 18:43 — forked from mrocklin/progress-example.ipynb
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@jakirkham
jakirkham / github-brand-colors-aug-2015.css
Created March 7, 2017 04:55 — forked from christopheranderton/github-brand-colors-aug-2015.css
Official Github Brand Colors (August 20, 2015) from the GitHub internal CSS framework (Primer) version 2.3.3 at: http://primercss.io/colors/ [Note: Photoshop users. You can download the raw file (.css) and import the swatches just like a .aco file (more recent versions of Photoshop).
/* # OFFICIAL GITHUB BRAND COLORS
--------------------------------------------------------------------
Official Github Brand Colors (August 20, 2015) from the
GitHub internal CSS framework (Primer) version 2.3.3
Source URI: http://primercss.io/colors/
1.a = Github Branding Color Swatches
-------------------------------------------------------------------- */
.swatch-github-blue {
background-color:#4078c0;