kpykc’s gists

kpykc / einsum.py

Created October 5, 2016 11:40 — forked from mblondel/einsum.py

Einstein sum notation

	import numpy as np

	rng = np.random.RandomState(0)

	print "Trace"
	A = rng.rand(3, 3)
	print np.trace(A)
	print np.einsum("ii", A)
	print

kpykc / stride_tricks.py

Created October 5, 2016 11:40 — forked from seberg/stride_tricks.py

numy stride tricks based functions for changing the shape and axis order of arrays.

	import numpy as np
	from collections import defaultdict as _dd

	def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True):
	"""Create a view of `array` which for every point gives the n-dimensional
	neighbourhood of size window. New dimensions are added at the end of
	`array` or after the corresponding original dimension.

	Parameters
	----------

kpykc / learn.lua

Created October 5, 2016 11:16 — forked from tylerneylon/learn.lua

Learn Lua quickly with this short yet comprehensive and friendly script. It's written as both an introduction and a quick reference. It's also a valid Lua script so you can verify that the code does what it says, and learn more by modifying and running this script in your Lua interpreter.

	-- Two dashes start a one-line comment.

	--[[
	Adding two ['s and ]'s makes it a
	multi-line comment.
	--]]

	----------------------------------------------------
	-- 1. Variables and flow control.
	----------------------------------------------------

kpykc / Retina Figures.ipynb

Created June 2, 2016 21:33 — forked from minrk/Retina Figures.ipynb

2x plots for Retina displays with matplotlib and the IPython Notebook

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kpykc / magic_memit.py

Created February 24, 2016 17:22 — forked from vene/magic_memit.py

memit: magic memory usage benching for IPython

	# Author: Vlad Niculae <[email protected]>
	# 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'):

kpykc / jupyter_mail_test.py

Created January 21, 2016 20:56

	#coding: utf-8
	import keyring
	from cStringIO import StringIO
	from email.mime.multipart import MIMEMultipart
	from email.mime.text import MIMEText
	from email.header import Header
	from email import Charset
	from email.generator import Generator
	import smtplib

kpykc / declarations_api.py

Created December 21, 2015 03:49 — forked from dchaplinsky/declarations_api.py

Simple example of how to export all assets declarations from declarations.com.ua website.

	import requests
	import json
	from time import sleep

	data = []

	print("Fetching page #%s" % 1)

	r = requests.get("http://declarations.com.ua/search?format=json").json()
	data += r["results"]["object_list"]

kpykc / gst-appsrc.c

Created December 13, 2015 02:00 — forked from floe/gst-appsrc.c

example appsrc for gstreamer 1.0 with own mainloop & external buffers

	// example appsrc for gstreamer 1.0 with own mainloop & external buffers. based on example from gstreamer docs.
	// public domain, 2015 by Florian Echtler <[email protected]>. compile with:
	// gcc --std=c99 -Wall $(pkg-config --cflags gstreamer-1.0) -o gst gst.c $(pkg-config --libs gstreamer-1.0) -lgstapp-1.0

	#include <gst/gst.h>
	#include <gst/app/gstappsrc.h>

	#include <stdint.h>

	int want = 1;

kpykc / test_multi_array_zmq.py

Created December 2, 2015 22:50 — forked from bmcfee/test_multi_array_zmq.py

	import zmq
	import time
	from multiprocessing import Process
	import numpy as np
	from pprint import pprint
	import json

	np.set_printoptions(precision=3)

kpykc / test_ndarray_zmq.py

Created December 2, 2015 22:49 — forked from bmcfee/test_ndarray_zmq.py

	import zmq
	import time
	from multiprocessing import Process
	import numpy as np

	np.set_printoptions(precision=3)

	def send_array(socket, A, flags=0, copy=True, track=False):
	"""send a numpy array with metadata"""
	md = dict(dtype=str(A.dtype), shape=A.shape)