endolith

function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%      
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.

zed

#!/usr/bin/env python
"""Find height, width of the largest rectangle containing all 0's in the matrix.

The algorithm for `max_size()` is suggested by @j_random_hacker [1].
The algorithm for `max_rectangle_size()` is from [2].
The Python implementation [3] is dual licensed under CC BY-SA 3.0
and ISC license.

[1]: http://stackoverflow.com/questions/2478447/find-largest-rectangle-containing-only-zeros-in-an-nn-binary-matrix#comment5169734_4671342

beniwohli

<?xml version="1.0" encoding="ISO-8859-1"?>
<xsl:stylesheet
  xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
  xmlns:xs="http://www.w3.org/2001/XMLSchema"
  version="1.0">
<xsl:template match="/charlist">
    <xsl:text>
unicode_to_latex = {
</xsl:text>
    <xsl:for-each select="character">

beniwohli

# original XML at http://www.w3.org/Math/characters/unicode.xml
# XSL for conversion: https://gist.github.com/798546


unicode_to_latex = {
    u"\u0020": "\\space ",
    u"\u0023": "\\#",
    u"\u0024": "\\textdollar ",
    u"\u0025": "\\%",
    u"\u0026": "\\&",

huyng

### MATPLOTLIBRC FORMAT

# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc.  If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).

sixtenbe

#!/usr/bin/python2


# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law. 
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See

tpope

" Place in ~/.vim/after/plugin/speeddating.vim

" In Vim, -4 % 3 == -1.  Let's return 2 instead.
function! s:mod(a,b)
    if (a:a < 0 && a:b > 0 || a:a > 0 && a:b < 0) && a:a % a:b != 0
        return (a:a % a:b) + a:b
    else
        return a:a % a:b
    endif
endfunction

mattratleph

vimdiff cheat sheet

##git mergetool

In the middle file (future merged file), you can navigate between conflicts with ]c and [c.

Choose which version you want to keep with :diffget //2 or :diffget //3 (the //2 and //3 are unique identifiers for the target/master copy and the merge/branch copy file names).

:diffupdate (to remove leftover spacing issues)

:only (once you’re done reviewing all conflicts, this shows only the middle/merged file)

shoyer

darothen

This is a simple example for using snakemake to automate a basic work pipeline.

Motivation

Makefiles and GNU Make are awesome for many reasons, and it's unforgivable for any scientist working with data processing pipelines to use them throughout their projects. But Makefiles, while feature-rich, are not really an ideal tool for automating complex data processing pipelines. If, by some chance, your analyses simply require you to collect different data, process them with identical procedures, collate them, and produce a plot, then sure - Makefiles will do. But in analyzing climate model output, I've found that I have to do a lot of quirky hacks to fit this sort of workflow model.

A perfect example is the analysis of hierarchical climate model output. It's quite common to run a climate model multiple times in a factorial factor, changing 2-3 parameters (say, an emissions dataset and a parameterization in the model). While you can pigeon-hole linear da