cholland29

function rbboxTest

% Generating example 2-D plot
hfig = figure;
hax = axes;
xdata = 1:100;
ydata = sin(xdata);
hline = line(xdata,ydata,'Marker','o');

set(hax,'ButtonDownFcn',@OnClickAxes);

mlgill

# Two very basic functions for searching just the input code of an IPython notebook
# Written because I often want to search notebooks for snippets but the giant output
# of embedded encoded images makes it difficult.

# Ipython's nbconvert can be used to extract just the input, but this requires 
# writing to a separate file and can be quite slow when used with large notebooks.
# Additionally, find/xargs can be used with igrep when the name of the notebook isn't known.

# icat could be used to convert an IPython notebook to a standard python file if 
# the notebook does not contain whole-cell magics.

narphorium

mbostock

license: gpl-3.0
redirect: https://observablehq.com/@d3/scatterplot-with-shapes

luispedro

\documentclass{article}
\usepackage{tikz}

\begin{document}
\begin{tikzpicture}

\node (theta) at (0,0) [circle, draw] {$\theta$};
\node (z) at (2,0) [circle, draw] {$z$};
\node (w) at (4,0) [circle, draw] {$w$};
\node (alpha) at (1,2) [circle, draw] {$\alpha$};

ashiato45

This is a small modification of [http://cvxopt.org/applications/nucnrm/] for Python3 & CVXOPT. As the comment says, this program was originally written by Z. Liu and L. Vandenberghe, and it distributed under GPL.

mblondel

"""
(C) Mathieu Blondel - 2010
License: BSD 3 clause

Implementation of the collapsed Gibbs sampler for
Latent Dirichlet Allocation, as described in

Finding scientifc topics (Griffiths and Steyvers)
"""

welch

It is a rite of passage to post one's successful build instructions for OpenCV on a Mac
after you've tried all the other conflicting instructions out there and still failed. 
brew failed for me (was this because I could never get a happy brew doctor situation? 
I'll never know). macports? nope. build-from-source recipes? I didn't find one that 
worked for me.

Here's what did work to build OpenCV 2.4.5 from the distribution tarball using cmake,
on Mac OSX 10.8.4, linked to an anaconda installation rather than the system python. 
It is a mashup of various bits of advice out there. If you're already comfortable with 
build/install from source, all you need to read is the cmake invocation in step 3 and 

mgedmin

How to get a free StartSSL.com SSL certificate

I'm writing this up from memory, so errors may appear.

This has been updated to use SHA256 certificates.

Start

1. Go to http://www.startssl.com/
2. Click on 'Control Panel'

goldsmith

# set up flags for Numpy C extentions compiling
export CFLAGS="-arch i386 -arch x86_64"
export FFLAGS="-m32 -m64"
export LDFLAGS="-Wall -undefined dynamic_lookup -bundle -arch i386 -arch x86_64"
export CC=gcc-4.2
export CXX="g++ -arch i386 -arch x86_64"

pip install numpy
# success!