nuin

This is an unofficial manual for the couchdb Python module I wish I had had.

Installation

pip install couchdb

Importing the module

nuin

#!/bin/bash

# @link https://gist.github.com/mattscilipoti/8424018
#
# Called by "git push" after it has checked the remote status,
# but before anything has been pushed.
#
# If this script exits with a non-zero status nothing will be pushed.
#
# Steps to install, from the root directory of your repo...

nuin

This project is superceded by makefile4latex.

Makefile for LaTeX

This is a GNU Makefile for typesetting LaTeX documents. Expected to work with TeXLive on Linux (and similar systems, e.g., on Cygwin). Just download Makefile and put it in a directory that contains your LaTeX files. Running make will generate PDF files for you:

nuin

#!/usr/bin/env python

from pocket import Pocket
import webbrowser, sys

# Get consumer key from cmd line
consumer_key = sys.argv[1]

request_token = Pocket.get_request_token(
    consumer_key=consumer_key,

nuin

#!/usr/bin/env python

import paramiko

hostname = 'localhost'
port = 22
username = 'foo'
password = 'xxxYYYxxx'

if __name__ == "__main__":

nuin

#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

nuin

### 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).

nuin

"""
PWMSearch

Searches through a fasta sequence for the relevant Position Weight Matrices 
from the Jaspar Database.

"""
from __future__ import division

from optparse import OptionParser

nuin

def parse_color(s):
    """ Parses color string in format #ABC or #AABBCC to RGB tuple. """
    g = len(s)
    assert(g in (4,5,7,9))

    if g in (4,5):
        return tuple(int(ch * 2, 16) for ch in s[1:])
    else:
        return tuple(int(ch1 + ch2, 16) for ch1, ch2 in \
                     zip(

nuin

#!/usr/bin/ruby
# save as pubmed.rb and test using 'ruby pubmed.rb 19662644'
# keyword search may return > 1 record due to retmax bug
# http://github.com/bioruby/bioruby/commit/51c3223e033b2992a7bd95da282f88164406ff92

require 'rubygems'
require 'bio'

keywords = ARGV.join(' ')