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@damianavila
damianavila / ipynb_run_save.py
Created March 20, 2013 20:49
Run and save a ipynb file from the command line. This script is working in dev version (1.0) of IPython (for previous version you have to tweak it). It will generate a new "run & saved" notebook.
#!/usr/bin/env python
"""
Script for running and save notebooks from command line.
How to use: `ipynb_run_save.py foo.ipynb
Some tweaks over ipydoctest.py from minrk
by @damianavila
"""
@z-m-k
z-m-k / LICENSE
Last active October 30, 2016 22:37
A Python class that allows to incorporate d3js and Python (IPython notebook mainly). See at: http://nbviewer.ipython.org/4484816/ipyD3sample.ipynb
GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc. {http://fsf.org/}
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
@Carreau
Carreau / custom.js
Created January 2, 2013 19:49
Custom.js to edit top-level metadata of IPython notebook. Please Use only for développement purpose.
var raw_edit = function(notebook){
var md = notebook.metadata
var textarea = $('<textarea/>')
.attr('rows','13')
.attr('cols','75')
.attr('name','metadata')
.text(JSON.stringify(md, null,4)||'');
var dialogform = $('<div/>').attr('title','Edit the metadata')
@ChrisBeaumont
ChrisBeaumont / mandel.py
Created November 16, 2012 20:37
interactive Mandelbrot numba example
"""From the numba examples
(https://github.com/numba/numba/blob/master/examples/mandel.py),
but tweaked to recalculate on the fly as the viewport changes"""
from numba import autojit
import numpy as np
from pylab import imshow, jet, show, ion
import matplotlib.pyplot as plt
from matplotlib import rcParams
rcParams['image.origin'] = 'lower'
@mbostock
mbostock / .block
Last active July 2, 2023 13:49 — forked from mbostock/.block
Scatterplot Matrix Brushing
license: gpl-3.0
border: no
height: 960
redirect: https://observablehq.com/@d3/brushable-scatterplot-matrix
@pprett
pprett / boston.json
Created October 1, 2012 18:28
Decision Tree Viewer (D3 and Sklearn)
{"error": 42716.2954, "samples": 506, "value": [22.532806324110698], "label": "RM <= 6.94", "type": "split", "children": [{"error": 17317.3210, "samples": 430, "value": [19.93372093023257], "label": "LSTAT <= 14.40", "type": "split", "children": [{"error": 6632.2175, "samples": 255, "value": [23.349803921568636], "label": "DIS <= 1.38", "type": "split", "children": [{"error": 390.7280, "samples": 5, "value": [45.58], "label": "CRIM <= 10.59", "type": "split", "children": [{"error": 0.0000, "samples": 4, "value": [50.0], "label": "Leaf - 4", "type": "leaf"}, {"error": 0.0000, "samples": 1, "value": [27.9], "label": "Leaf - 5", "type": "leaf"}]}, {"error": 3721.1632, "samples": 250, "value": [22.90520000000001], "label": "RM <= 6.54", "type": "split", "children": [{"error": 1636.0675, "samples": 195, "value": [21.629743589743576], "label": "LSTAT <= 7.57", "type": "split", "children": [{"error": 129.6307, "samples": 43, "value": [23.969767441860473], "label": "TAX <= 222.50", "type": "split", "children": [{"err
@jonathan-taylor
jonathan-taylor / execute_and_save.py
Created June 8, 2012 08:09
A script to load an .ipynb file, execute all cells in order and output the resulting notebook. Depends on https://github.com/jonathan-taylor/nbconvert/tree/json2json
"""
simple example script for running notebooks and saving the resulting notebook.
Usage: `execute_and_save.py foo.ipynb [bar.ipynb [...]]`
Each cell is submitted to the kernel, and the outputs are overwritten and
stored in new notebooks foo_executed.ipynb, etc.
"""
import os,sys,time
@minrk
minrk / checkipnb.py
Last active April 9, 2022 16:51
run and validate a notebook
#!/usr/bin/env python
"""
simple example script for running notebooks and reporting exceptions.
Usage: `checkipnb.py foo.ipynb [bar.ipynb [...]]`
Each cell is submitted to the kernel, and checked for errors.
"""
import os,sys,time
@minrk
minrk / ipnbdoctest.py
Last active September 14, 2023 11:23
simple example script for running and testing notebooks.
#!/usr/bin/env python
"""
simple example script for running and testing notebooks.
Usage: `ipnbdoctest.py foo.ipynb [bar.ipynb [...]]`
Each cell is submitted to the kernel, and the outputs are compared with those stored in the notebook.
"""
# License: Public Domain, but credit is nice (Min RK).