ines

import difflib
import wasabi

def diff_strings(a, b):
    output = []
    matcher = difflib.SequenceMatcher(None, a, b)
    for opcode, a0, a1, b0, b1 in matcher.get_opcodes():
        if opcode == "equal":
            output.append(a[a0:a1])
        elif opcode == "insert":

fperez

Polyglot Data Science with IPython & friends

Author: Fernando Pérez.

A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.

This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.

See the companion notebook for data preparation and setup.

alchemyst

#!/usr/bin/env python

import tkinter as tk
import math
import re
from collections import ChainMap

Nrows = 5
Ncols = 5

AustinRochford

ka-pr

aflaxman

willingc

debasishg

Python 3.6.0 |Anaconda 4.3.0 (x86_64)| (default, Dec 23 2016, 13:19:00) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas
>>> import numpy
>>> data_dir = "/Users/debasishghosh/temp/ingest-intrusion-data/ingest-intrusiondata-tmp"
>>> train_data = data_dir + "/new_train_data.csv"
>>> train_labels = data_dir + "/train_labels.csv"
>>> test_data = data_dir + "/new_test_data.csv"
>>> test_labels = data_dir + "/test_labels.csv"

leonawicz

#
# This Shiny web application demonstrates the use of custom image files
# in place of icons for value boxes in Shiny Dashboard by overriding two
# functions:
#
# 'icon' from the shiny package and 'valueBox' from the shinydashboard package.
#
# Each function adds minimal, specific additional handling of image files.
# Note: A custom css file must also be included so that value boxes can
# display the icons. For that reason, do not expect images in place of icons to

timvieira