ksindi / pagerank.py

Created December 7, 2017 15:00 — forked from diogojc/pagerank.py

python implementation of pagerank

	import numpy as np
	from scipy.sparse import csc_matrix

	def pageRank(G, s = .85, maxerr = .001):
	"""
	Computes the pagerank for each of the n states.

	Used in webpage ranking and text summarization using unweighted
	or weighted transitions respectively.

ksindi / serialize-numpy-array.py

Created November 20, 2017 13:16 — forked from alexland/serialize-numpy-array.py

serialize, persist, retrieve, and de-serialize a NumPy array as a binary string (any dimension, any dtype); exemplary use case: a web app calculates some result--eg, from a Machine Learning algorithm, using NumPy and the result is a NumPy array; it is efficient to just return that result to rather than persist the array then retrieve it via query


	import time
	import numpy as NP
	from redis import StrictRedis as redis

	# a 2D array to serialize
	A = 10 * NP.random.randn(10000).reshape(1000, 10)

	# flatten the 2D NumPy array and save it as a binary string
	array_dtype = str(A.dtype)

ksindi / pdio.py

Created November 19, 2017 14:42 — forked from luispedro/pdio.py

Save & load from a pandas DataFrame/Series

	import numpy.lib
	import numpy as np
	import pandas as pd
	import cPickle as pickle

	def save_pandas(fname, data):
	'''Save DataFrame or Series

	Parameters
	----------

ksindi / gist:09a0fb58d479b55d6168d9094ce38d42

Created November 14, 2017 15:38 — forked from FedericoV/gist:0e7d6d8c8794a99a7a42

Cosine Similarity that handles NaN with Numba

	import numba

	@numba.jit(target='cpu', nopython=True)
	def fast_cosine(u, v):
	m = u.shape[0]
	udotv = 0
	u_norm = 0
	v_norm = 0
	for i in range(m):
	if (np.isnan(u[i])) or (np.isnan(v[i])):

ksindi / inception_annoy.py

Created November 13, 2017 16:27 — forked from thomasdullien/inception_annoy.py

Inception for feature extraction, ANNoy for nearest-neighbor search

	"""
	Simple, hacked-up image similarity search using Tensorflow + the inception
	CNN as feature extractor and ANNoy for nearest neighbor search.

	Requires Tensorflow and ANNoy.

	Based on gist code under
	https://gist.github.com/david90/e98e1c41a0ebc580e5a9ce25ff6a972d
	"""
	from annoy import AnnoyIndex

ksindi / imagemagick-install-steps

Created July 16, 2017 03:36 — forked from rodleviton/imagemagick-install-steps

Installing Image Magick on Ubuntu 14.04

	sudo -i
	cd
	apt-get install build-essential checkinstall && apt-get build-dep imagemagick -y
	wget http://www.imagemagick.org/download/ImageMagick-6.8.7-7.tar.gz
	tar xzvf ImageMagick-6.8.9-1.tar.gz
	cd ImageMagick-6.8.9-1/
	./configure --prefix=/opt/imagemagick-6.8 && make
	checkinstall

ksindi / pypdf_to_image.py

Created July 15, 2017 16:05 — forked from rririanto/pypdf_to_image.py

Python Convert PDF to Image

	"""
	Problem:
	How to Convert PDF to Image with Python Script ?

	Installation:
	I use ubuntu OS 14.04
	We use wrapper for ImageMagick [http://www.imagemagick.org/script/index.php] to Convert The PDF file
	in Python do:

	$ sudo apt-get install libmagickwand-dev

ksindi / pdfmod.py

Created July 15, 2017 13:51 — forked from jrsmith3/pdfmod.py

Convert specified pages from a PDF to png

	"""
	This script was used to create the figures for http://jrsmith3.github.io/sample-logs-the-secret-to-managing-multi-person-projects.html from a PDF file containing some old CMU sample logs.
	"""

	import PyPDF2
	from wand.image import Image
	import io
	import os

ksindi / conftest.py

Created April 28, 2017 02:49 — forked from billyshambrook/conftest.py

Categorise integration tests using PyTest.

	import pytest


	def pytest_addoption(parser):
	parser.addoption("--integration", action="store_true", help="run integration tests")


	def pytest_runtest_setup(item):
	if 'integration' in item.keywords:
	if not item.config.getoption("--integration"):

ksindi / promises.md

Created April 14, 2017 16:00 — forked from domenic/promises.md

You're Missing the Point of Promises

This article has been given a more permanent home on my blog. Also, since it was first written, the development of the Promises/A+ specification has made the original emphasis on Promises/A seem somewhat outdated.

You're Missing the Point of Promises

Promises are a software abstraction that makes working with asynchronous operations much more pleasant. In the most basic definition, your code will move from continuation-passing style:

getTweetsFor("domenic", function (err, results) {
 // the rest of your code goes here.

Kamil Sindi ksindi

You're Missing the Point of Promises