mindey

# Practically, it's useful if we have complex observations (rows) and variables (columns):

df = pandas.DataFrame(
   data=pandas.np.array(
      [[1,2,3,4,5],
       [6,7,8,9,10],
       [11,12,13,14,15]]).T,
   index=pandas.MultiIndex.from_arrays(
       [['x','x','x','y','z'],
        ['a','a','b','b','c'],

mindey

Keybase proof

I hereby claim:

• I am mindey on github.
• I am mindey (https://keybase.io/mindey) on keybase.
• I have a public key whose fingerprint is 5AFD B16B 8980 5133 F450 688B DA58 0D1D 5F5C C7AD

To claim this, I am signing this object:

mindey

Keybase proof

I hereby claim:

• I am mindey on github.
• I am mindey (https://keybase.io/mindey) on keybase.
• I have a public key whose fingerprint is 5AFD B16B 8980 5133 F450 688B DA58 0D1D 5F5C C7AD

To claim this, I am signing this object:

mindey

Text Parsing for Sharing

Task description

I have a text-based wiki (a VimWiki) and I want to share arbitrary parts of its texts by automatically copy-pasting the parts marked with {:group1,group2,..,groupN| PART :} into the (shared) folders defined for each group. For example, let's say we have just a single wiki page called OnePage.wiki, and group definitions in GroupDefinitions.wiki.

The task is to recursively copy the extracted and merged fractions of the text into appropriate folders. (Should be a recursive split-apply-merge.) The code you write would be made public, and GPL-licensed.

GroupDefinitions.wiki

mindey

#!/usr/bin/env python

""" A simple screen-capture utility.  Utilizes ffmpeg or avconv with h264
support. By default it captures the entire desktop.
"""

################################ LICENSE BLOCK ################################
# Copyright (c) 2011 Nathan Vegdahl
#
# Permission is hereby granted, free of charge, to any person obtaining a copy

mindey

#!/usr/bin/python

import urllib
import urllib2
import libxml2
import inspect
import sys
import zlib
import base64
import struct

mindey

Often, we would like to use "Python" as calculator. However, "ipython" command loads much slower than "R". Here is a solution -- let's define an "S" command:

Install http://mpmath.org/'s pack globally.

sudo pip install mpmath

Create initialization script ~/.S.py with following content, for 50 digits of precision:

mindey

ffmpeg -video_size 1600x900 -framerate 30 -f x11grab -i $DISPLAY -f alsa -ac 2 -i pulse -vsync passthrough -c:v libx264 -qp 0 -preset ultrafast capture.mkv

mindey

ok

mindey

# according to http://nbviewer.ipython.org/github/adrn/ipython/blob/master/examples/Notebook/Importing%20Notebooks.ipynb
import io, os, sys, types
from IPython.nbformat import current
from IPython.core.interactiveshell import InteractiveShell

def find_notebook(fullname, path=None):
    """find a notebook, given its fully qualified name and an optional path
    
    This turns "foo.bar" into "foo/bar.ipynb"
    and tries turning "Foo_Bar" into "Foo Bar" if Foo_Bar