{
"metadata": {
"name": "",
"signature": "sha256:2e034a055c4364d5ae110bb9da9494b9bdac4859197b6270c471b5128b7f6463"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"
"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%pylab inline\n",
"%run talktools"
],
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "skip"
}
},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"html": [
"\n"
],
"metadata": {},
"output_type": "display_data",
"text": [
""
]
}
],
"prompt_number": 1
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Reproducible research..."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('http://www.nature.com/ismej/journal/v7/n3/full/ismej2012123a.html', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": [
""
]
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Notebooks and AMIs"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('http://qiime.org/home_static/nih-cloud-apr2012', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
""
]
}
],
"prompt_number": 18
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"## Jake VanderPlas (astronomy/ML at UW)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('http://jakevdp.github.io/blog/2013/12/05/static-interactive-widgets', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
""
]
}
],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"\n",
"Python for Signal Processing, By [Jose Unpingco](https://github.com/unpingco/Python-for-Signal-Processing)\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" | \n",
"\n",
"\n",
"\n",
" | \n",
"\n",
"
\n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"By [Matthew Russell](https://github.com/ptwobrussell).\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"- O'Reilly book
\n",
"- Companion Notebook collection
\n",
"- All available as a Github repo
\n",
" \n",
" | \n",
"\n",
"\n",
"\n",
" | \n",
"\n",
"
\n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"## Matthias Bussonnier, 2012"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('nbviewer.ipython.org', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 22,
"text": [
""
]
}
],
"prompt_number": 22
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Opening up science \n",
"### Brian Keegan and 538"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('http://fivethirtyeight.com/features/the-dollar-and-cents-case-against-hollywoods-exclusion-of-women/', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": [
""
]
}
],
"prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Brian Keegan's amazing notebook\n",
"\n",
"* [The Need for Openness in Data Journalism](http://nbviewer.ipython.org/github/brianckeegan/Bechdel/blob/master/Bechdel_test.ipynb)\n",
"\n",
"* [Reply from 538 team](http://fivethirtyeight.com/datalab/the-bechdel-test-checking-our-work/) (emph. mine):\n",
"\n",
"Keegan also made a larger point: *FiveThirtyEight and similar sites should make their data available. We couldn\u2019t agree more*. We\u2019re exploring ways of making our raw code and data available to readers, including through FiveThirtyEight\u2019s GitHub account."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"# Others building atop IPython\n",
"## OSS and commercial players"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Enthought Canopy\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Continuum Analytics: Wakari.io\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Microsoft Python Tools for Visual Studio\n",
"### Shahrokh Mortazavi, Dino Viehland, Wenming Ye, Dennis Gannon. Thanks!!\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"\n",
"\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# StarCluster\n",
"## Justin Riley @ MIT\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# IBM Watson\n",
"\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Authorea: collaborative academic writing"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('https://www.authorea.com/users/3/articles/3904/_show_article', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
""
]
}
],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Plotly: d3, server-side plots with data"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import plotly\n",
"from pldemo import boxes, layout\n",
"py = plotly.plotly('IPython.Demo', '1fw3zw2o13')\n",
"py.iplot(boxes, layout = layout, filename='Distributions', fileopt='overwrite', \n",
" width=700, height=400)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"text": [
""
]
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# NBDiff\n",
"\n",
"### U. Toronto students, mentored by Greg Wilson\n",
"\n",
"Talk to Tavish Armstrong!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"website('nbdiff.org', None)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
""
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
""
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Wrapping up\n",
"\n",
"* **Python and Science**\n",
" - The **language** lured me in...\n",
" - But I stayed for the **community**!\n",
" - This conversation is only getting better!\n",
"\n",
"* **IPython**\n",
" - Language-agnostic **protocols** for interactive computing.\n",
" - **Open format** for sharing, collaboration, publication.\n",
" - Tools for **all** Pythonistas, *not just scientists*.\n",
" \n",
"* **Thank you!**\n",
" - **Guido van Rossum**, Python-dev.\n",
" - **Diana Clarke**, **Dave Wolever**, PyCon'14 team!"
]
}
],
"metadata": {}
}
]
}