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.

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

GarrettS

javascript: void(function(){document.addEventListener("mousedown", tcoToLinkTitleURL, true); function tcoToLinkTitleURL(ev) { var target = ev.target; if(/^http(?:s?):\/\/t.co\//.test(target.href)) target.href=target.title; } }());

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

glennblock

git fetch upstream
git reset --hard upstream/master

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

romannurik

<!--
  A button bar is a set of buttons at the bottom of an activity.
  An example is an AlertDialog with OK/Cancel buttons.

  Note that something similar can be accomplished using a
  split action bar and text-only action buttons, but this is an
  alternate presentation that's often preferred.
-->
<LinearLayout xmlns:android="http://schemas.android.com/apk/res/android"
    android:orientation="vertical"

nathanhaigh

#!/bin/bash
# Usage: deinterleave_fastq.sh < interleaved.fastq f.fastq r.fastq [compress]
# 
# Deinterleaves a FASTQ file of paired reads into two FASTQ
# files specified on the command line. Optionally GZip compresses the output
# FASTQ files using pigz if the 3rd command line argument is the word "compress"
# 
# Can deinterleave 100 million paired reads (200 million total
# reads; a 43Gbyte file), in memory (/dev/shm), in 4m15s (255s)
# 

vals

loadings = pca.components_

# I've omitted the code to create ind; a list of the indexes of the
# loadings ordered by distance from origin.

plt.scatter(*loadings, alpha=0.3, label="Loadings");
plt.scatter(*loadings[:, ind[:3]], c='r', marker='o',
            s=80, linewidths=1, facecolors="none", 
            edgecolors='r', 
            label="Contributes most\nto variance");