{ "cells": [ { "cell_type": "markdown", "metadata": { "internals": { "slide_type": "subslide" }, "slideshow": { "slide_type": "slide" } }, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": { "internals": {}, "slideshow": { "slide_type": "-" } }, "source": [ "# A Fast (and Furious) Introduction to Python" ] }, { "cell_type": "markdown", "metadata": { "internals": { "slide_helper": "subslide_end" }, "slide_helper": "slide_end", "slideshow": { "slide_type": "-" } }, "source": [ "## Luis Martí, [IC](http://www.ic.uff.br)/[UFF](http://www.uff.br)\n", "\n", "[http://lmarti.com](http://lmarti.com); [lmarti@ic.uff.br](mailto:lmarti@ic.uff.br) \n", "\n", "[Advanced Evolutionary Computation: Theory and Practice](http://lmarti.com/aec-2014) \n", "\n", "> This notebook is based on Rick Muller's [A Crash Course in Python for Scientists\n", "](http://nbviewer.ipython.org/gist/rpmuller/5920182)" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "The notebook is better viewed rendered as slides. You can convert it to slides and view them by:\n", "- using [nbconvert](http://ipython.org/ipython-doc/1/interactive/nbconvert.html) with a command like:\n", " ```bash\n", " $ ipython nbconvert --to slides --post serve