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).

esperlu

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite

ricardoV94

sgillies

Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

MatsuuraKentaro

data {
  int N;
  int M;
  real<lower=0> Y[N];
}

parameters {
  real<lower=0> mu;
  real<lower=0> phi;
  real<lower=1, upper=2> theta;

hunterowens

import pymssql
import pandas as pd

## instance a python db connection object- same form as psycopg2/python-mysql drivers also
conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642)  # You can lookup the port number inside SQL server. 

## Hey Look, college data
stmt = "SELECT * FROM AlumniMirror..someTable"
# Excute Query here
df = pd.read_sql(stmt,conn)

jeromyanglim

    <script type="text/javascript" 
        src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
    </script>
    <script type="text/javascript">MathJax.Hub.Config({tex2jax: {processEscapes: true, 
        processEnvironments: false, inlineMath: [ ['$','$'] ], 
        displayMath: [ ['$$','$$'] ] }, 
        asciimath2jax: {delimiters: [ ['$','$'] ] }, 
        "HTML-CSS": {minScaleAdjust: 125 } });
    </script>

bistaumanga

'''Implementation and  Demostration of Dynamic Time Warping
Requires : python 2.7.x, Numpy 1.7.1, Matplotlib, 1.2.1'''

from math import *
import numpy as np
import sys

def DTW(A, B, window = sys.maxint, d = lambda x,y: abs(x-y)):
    # create the cost matrix
    A, B = np.array(A), np.array(B)

audreyfeldroy

• Update HISTORY.md
• Commit the changes:

git add HISTORY.md
git commit -m "Changelog for upcoming release 0.1.1."

• Update version number (can also be minor or major)

bumpversion patch

tmcw

This is a more wordy, narrative accompaniment to my pretty bare presentation about d3 that I gave to the jQuery DC Meetup.

What is d3?

• Not a chart library (though you can make charts with it)
• Not a map library (though you can make maps with it)

Which is to say, d3 can be used for building things, but the 'atomic parts' are lower-level than bar graphs or projections or so on. This is a powerful fact. It also means that d3 is a good basis for simple interfaces, like Vega.js, that make its power accessible in other ways.

• Not a compatibility layer (it doesn't work with bad browsers)