kidpixo

#!/opt/local/bin/fish
##########################################
# requires ag installed, optionally could 
# be adapted to grep for a fewfiles
##########################################
# This script search for all the lines beginning with '- [X] ' in all the files in a  directory, where [X] could be:
#[ ] = open item 
#[x] = closed item 
#[-] = ongoing item 
#[?] = question item 

kidpixo

fswatch -rx  $checklist_path | while read event
    set actual_pane_width (tmux list-panes | grep '(active)' | sed 's/^.: \[\(.*\)x.*/\1/')
    # actual_pane_width + 11 take in account invisible ASCII escape characters
    # used for color in check_list_simplenote
    check_list_simplenote | cut -c 1-(echo $actual_pane_width"+11" | bc)
    repeat = $actual_pane_width
    repeat \n 5
end

kidpixo

# list all panes in the session specified in input
function tmux_list_all_panes
    if not set -q $argv
        echo $argv
            for el in (tmux list-windows -t $argv)
                echo "  "$el
                    for elem in (tmux list-pane -t $argv:(echo $el | cut -d":" -f 1))
                    echo "    "$elem
                end
            end

kidpixo

/*
Add this file and neighboring toc.css to $(ipython locate)/nbextensions/

And load it with:

require(["nbextensions/toc"], function (toc) {
console.log('Table of Contents extension loaded');
toc.load_ipython_extension();
// If you want to load the toc by default, add:
// $([IPython.events]).on("notebook_loaded.Notebook", toc.table_of_contents);

kidpixo

# set opacity of blayer 0 and redraw
def setopacity(layer,opacity):
     layer.renderer().setOpacity(opacity)
     layer.triggerRepaint()

# Load some basic configuration
# %load https://gist.githubusercontent.com/kidpixo/2ec078d09834b5aa7869/raw/c8812811211dc7cd62f5b530b51b0104f39263ff/ipython%20inizialization
#import pandas as pd
#import numpy as np
%matplotlib qt4 

kidpixo

<!-- Replace subject with your message using URL Endocding: http://meyerweb.com/eric/tools/dencoder/ -->
<a href="https://mail.google.com/mail/?view=cm&amp;fs=1&amp;tf=1&amp;to=&amp;su=Vieni%20a%20vedere%20%22Episodio+6+-+Audio+in+4k%22%20su%20GeekCookies%20Podcast&amp;body=http%3A%2F%2Fgeekcookies.github.io%2Fpodcast%2F2015%2F04%2F26%2Fepisodio-6%2F" target="_blank"></a>
<a href="https://www.facebook.com/sharer/sharer.php?u=http://geekcookies.github.io/podcast/2015/04/26/episodio-6/" class="popup"></a>
<a href="http://twitter.com/home?status=Vieni%20a%20vedere%20%22Episodio+6+-+Audio+in+4k%22%20su%20GeekCookies%20Podcasti%20http%3A%2F%2Fgeekcookies.github.io%2Fpodcast%2F2015%2F04%2F26%2Fepisodio-6%2F" class="popup"></a>
<a href="http://www.reddit.com/submit?url=http://geekcookies.github.io/podcast/2015/04/26/episodio-6/"></a>
<a href="https://plus.google.com/share?url=Vieni%20a%20vedere%20%22Episodio+6+-+Audio+in+4k%22%20su%20GeekCookies%20Podcasti%20http%3A%2F%2Fgeekcookies.github.io%2Fpodcast%2F2015%2F04%2

kidpixo

Links List

• openplanetary : A simple site for the openplanetary community.
• wtolson/pysis : Toolkit for using USGS Isis in Python.
• RyanBalfanz/PyPDS : PyPDS is a Python interface to Planetary Data System (PDS) data products. http://pypds.org.
• godber/gdal_pds : A GDAL wrapper for the PDS filetype in python.
• PlanetaryPy : Python tools for Planetary Science
  • planetaryimage : Python PDS and Isis Cube file parser.
  • pdsview : Python PDS Image Viewer
• planetary_test_data : Simple package that retrieves the suite of planetary data supported by planetaryimage.

kidpixo

# see http://stackoverflow.com/a/20642478/1435167
import numpy as np
from scipy.signal import argrelextrema

x = np.random.random(100)

# for local maxima
argrelextrema(x, np.greater)

# for local minima

kidpixo

# ipythonic way
commits_list = ! git --no-pager log --reverse --oneline
commits = []
for i in commits_list:
    sha1 = i.split(' ')[0]
    print 'Commit SHA-1 value:',sha1
    commits.append(sha1)

# pythonic way
path = '/Users/damo_ma/Downloads/github_rep/git_history_visualizer'

kidpixo

builds = pd.DataFrame.from_csv(url,parse_dates=['StartedAt', 'FinishedAt'],index_col=9)

# quick and dirty
builds.groupby(builds.index.week).State.value_counts()

29  passed     4
31  failed     4
35  errored    3
    failed     3