{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Configuring IPython"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finding configuration options"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "IPython has many configurable attributes. These can be viewed using the `-h` flag to the command line applications:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=========\r\n",
      " IPython\r\n",
      "=========\r\n",
      "\r\n",
      "Tools for Interactive Computing in Python\r\n",
      "=========================================\r\n",
      "\r\n",
      "    A Python shell with automatic history (input and output), dynamic object\r\n",
      "    introspection, easier configuration, command completion, access to the\r\n",
      "    system shell and more.  IPython can also be embedded in running programs.\r\n",
      "\r\n",
      "Usage\r\n",
      "\r\n",
      "    ipython [subcommand] [options] [-c cmd | -m mod | file] [--] [arg] ...\r\n",
      "\r\n",
      "    If invoked with no options, it executes the file and exits, passing the\r\n",
      "    remaining arguments to the script, just as if you had specified the same\r\n",
      "    command with python. You may need to specify `--` before args to be passed\r\n",
      "    to the script, to prevent IPython from attempting to parse them. If you\r\n",
      "    specify the option `-i` before the filename, it will enter an interactive\r\n",
      "    IPython session after running the script, rather than exiting. Files ending\r\n",
      "    in .py will be treated as normal Python, but files ending in .ipy can\r\n",
      "    contain special IPython syntax (magic commands, shell expansions, etc.).\r\n",
      "\r\n",
      "    Almost all configuration in IPython is available via the command-line. Do\r\n",
      "    `ipython --help-all` to see all available options.  For persistent\r\n",
      "    configuration, look into your `ipython_config.py` configuration file for\r\n",
      "    details.\r\n",
      "\r\n",
      "    This file is typically installed in the `IPYTHONDIR` directory, and there\r\n",
      "    is a separate configuration directory for each profile. The default profile\r\n",
      "    directory will be located in $IPYTHONDIR/profile_default. For Linux users,\r\n",
      "    IPYTHONDIR defaults to `$HOME/.config/ipython`, and for other Unix systems\r\n",
      "    to `$HOME/.ipython`.  For Windows users, $HOME resolves to C:\\Documents\r\n",
      "    and Settings\\YourUserName in most instances.\r\n",
      "\r\n",
      "    To initialize a profile with the default configuration file, do::\r\n",
      "\r\n",
      "      $> ipython profile create\r\n",
      "\r\n",
      "    and start editing `IPYTHONDIR/profile_default/ipython_config.py`\r\n",
      "\r\n",
      "    In IPython's documentation, we will refer to this directory as\r\n",
      "    `IPYTHONDIR`, you can change its default location by creating an\r\n",
      "    environment variable with this name and setting it to the desired path.\r\n",
      "\r\n",
      "    For more information, see the manual available in HTML and PDF in your\r\n",
      "    installation, or online at http://ipython.org/documentation.html.\r\n",
      "\r\n",
      "Subcommands\r\n",
      "-----------\r\n",
      "\r\n",
      "Subcommands are launched as `ipython cmd [args]`. For information on using\r\n",
      "subcommand 'cmd', do: `ipython cmd -h`.\r\n",
      "\r\n",
      "locate\r\n",
      "    print the path to the IPython dir\r\n",
      "profile\r\n",
      "    Create and manage IPython profiles.\r\n",
      "console\r\n",
      "    Launch the IPython terminal-based Console.\r\n",
      "kernel\r\n",
      "    Start a kernel without an attached frontend.\r\n",
      "notebook\r\n",
      "    Launch the IPython HTML Notebook Server.\r\n",
      "nbconvert\r\n",
      "    Convert notebooks to/from other formats.\r\n",
      "qtconsole\r\n",
      "    Launch the IPython Qt Console.\r\n",
      "history\r\n",
      "    Manage the IPython history database.\r\n",
      "\r\n",
      "Options\r\n",
      "-------\r\n",
      "\r\n",
      "Arguments that take values are actually convenience aliases to full\r\n",
      "Configurables, whose aliases are listed on the help line. For more information\r\n",
      "on full configurables, see '--help-all'.\r\n",
      "\r\n",
      "--no-autoindent\r\n",
      "    Turn off autoindenting.\r\n",
      "--autoedit-syntax\r\n",
      "    Turn on auto editing of files with syntax errors.\r\n",
      "--deep-reload\r\n",
      "    Enable deep (recursive) reloading by default. IPython can use the\r\n",
      "    deep_reload module which reloads changes in modules recursively (it\r\n",
      "    replaces the reload() function, so you don't need to change anything to\r\n",
      "    use it). deep_reload() forces a full reload of modules whose code may\r\n",
      "    have changed, which the default reload() function does not.  When\r\n",
      "    deep_reload is off, IPython will use the normal reload(), but\r\n",
      "    deep_reload will still be available as dreload(). This feature is off\r\n",
      "    by default [which means that you have both normal reload() and\r\n",
      "    dreload()].\r\n",
      "--confirm-exit\r\n",
      "    Set to confirm when you try to exit IPython with an EOF (Control-D\r\n",
      "    in Unix, Control-Z/Enter in Windows). By typing 'exit' or 'quit',\r\n",
      "    you can force a direct exit without any confirmation.\r\n",
      "--pylab\r\n",
      "    Pre-load matplotlib and numpy for interactive use with\r\n",
      "    the default matplotlib backend.\r\n",
      "--matplotlib\r\n",
      "    Configure matplotlib for interactive use with\r\n",
      "    the default matplotlib backend.\r\n",
      "--term-title\r\n",
      "    Enable auto setting the terminal title.\r\n",
      "--classic\r\n",
      "    Gives IPython a similar feel to the classic Python prompt.\r\n",
      "--autoindent\r\n",
      "    Turn on autoindenting.\r\n",
      "--no-automagic\r\n",
      "    Turn off the auto calling of magic commands.\r\n",
      "--banner\r\n",
      "    Display a banner upon starting IPython.\r\n",
      "--automagic\r\n",
      "    Turn on the auto calling of magic commands. Type %%magic at the\r\n",
      "    IPython  prompt  for  more information.\r\n",
      "--no-deep-reload\r\n",
      "    Disable deep (recursive) reloading by default.\r\n",
      "--no-term-title\r\n",
      "    Disable auto setting the terminal title.\r\n",
      "--nosep\r\n",
      "    Eliminate all spacing between prompts.\r\n",
      "-i\r\n",
      "    If running code from the command line, become interactive afterwards.\r\n",
      "    Note: can also be given simply as '-i.'\r\n",
      "--debug\r\n",
      "    set log level to logging.DEBUG (maximize logging output)\r\n",
      "--pprint\r\n",
      "    Enable auto pretty printing of results.\r\n",
      "--no-autoedit-syntax\r\n",
      "    Turn off auto editing of files with syntax errors.\r\n",
      "--quiet\r\n",
      "    set log level to logging.CRITICAL (minimize logging output)\r\n",
      "--no-color-info\r\n",
      "    Disable using colors for info related things.\r\n",
      "--color-info\r\n",
      "    IPython can display information about objects via a set of func-\r\n",
      "    tions, and optionally can use colors for this, syntax highlighting\r\n",
      "    source code and various other elements.  However, because this\r\n",
      "    information is passed through a pager (like 'less') and many pagers get\r\n",
      "    confused with color codes, this option is off by default.  You can test\r\n",
      "    it and turn it on permanently in your ipython_config.py file if it\r\n",
      "    works for you.  Test it and turn it on permanently if it works with\r\n",
      "    your system.  The magic function %%color_info allows you to toggle this\r\n",
      "    interactively for testing.\r\n",
      "--init\r\n",
      "    Initialize profile with default config files.  This is equivalent\r\n",
      "    to running `ipython profile create <profile>` prior to startup.\r\n",
      "--no-pdb\r\n",
      "    Disable auto calling the pdb debugger after every exception.\r\n",
      "--quick\r\n",
      "    Enable quick startup with no config files.\r\n",
      "--no-confirm-exit\r\n",
      "    Don't prompt the user when exiting.\r\n",
      "--pydb\r\n",
      "    Use the third party 'pydb' package as debugger, instead of pdb.\r\n",
      "    Requires that pydb is installed.\r\n",
      "--pdb\r\n",
      "    Enable auto calling the pdb debugger after every exception.\r\n",
      "--no-pprint\r\n",
      "    Disable auto pretty printing of results.\r\n",
      "--no-banner\r\n",
      "    Don't display a banner upon starting IPython.\r\n",
      "--profile=<Unicode> (BaseIPythonApplication.profile)\r\n",
      "    Default: u'default'\r\n",
      "    The IPython profile to use.\r\n",
      "--pylab=<CaselessStrEnum> (InteractiveShellApp.pylab)\r\n",
      "    Default: None\r\n",
      "    Choices: ['auto', 'gtk', 'inline', 'osx', 'qt', 'qt4', 'tk', 'wx']\r\n",
      "    Pre-load matplotlib and numpy for interactive use, selecting a particular\r\n",
      "    matplotlib backend and loop integration.\r\n",
      "--matplotlib=<CaselessStrEnum> (InteractiveShellApp.matplotlib)\r\n",
      "    Default: None\r\n",
      "    Choices: ['auto', 'gtk', 'inline', 'osx', 'qt', 'qt4', 'tk', 'wx']\r\n",
      "    Configure matplotlib for interactive use with the default matplotlib\r\n",
      "    backend.\r\n",
      "--colors=<CaselessStrEnum> (InteractiveShell.colors)\r\n",
      "    Default: 'LightBG'\r\n",
      "    Choices: ('NoColor', 'LightBG', 'Linux')\r\n",
      "    Set the color scheme (NoColor, Linux, or LightBG).\r\n",
      "--cache-size=<Integer> (InteractiveShell.cache_size)\r\n",
      "    Default: 1000\r\n",
      "    Set the size of the output cache.  The default is 1000, you can change it\r\n",
      "    permanently in your config file.  Setting it to 0 completely disables the\r\n",
      "    caching system, and the minimum value accepted is 20 (if you provide a value\r\n",
      "    less than 20, it is reset to 0 and a warning is issued).  This limit is\r\n",
      "    defined because otherwise you'll spend more time re-flushing a too small\r\n",
      "    cache than working\r\n",
      "--logfile=<Unicode> (InteractiveShell.logfile)\r\n",
      "    Default: ''\r\n",
      "    The name of the logfile to use.\r\n",
      "--profile-dir=<Unicode> (ProfileDir.location)\r\n",
      "    Default: u''\r\n",
      "    Set the profile location directly. This overrides the logic used by the\r\n",
      "    `profile` option.\r\n",
      "-c <Unicode> (InteractiveShellApp.code_to_run)\r\n",
      "    Default: ''\r\n",
      "    Execute the given command string.\r\n",
      "--autocall=<Enum> (InteractiveShell.autocall)\r\n",
      "    Default: 0\r\n",
      "    Choices: (0, 1, 2)\r\n",
      "    Make IPython automatically call any callable object even if you didn't type\r\n",
      "    explicit parentheses. For example, 'str 43' becomes 'str(43)' automatically.\r\n",
      "    The value can be '0' to disable the feature, '1' for 'smart' autocall, where\r\n",
      "    it is not applied if there are no more arguments on the line, and '2' for\r\n",
      "    'full' autocall, where all callable objects are automatically called (even\r\n",
      "    if no arguments are present).\r\n",
      "--ipython-dir=<Unicode> (BaseIPythonApplication.ipython_dir)\r\n",
      "    Default: u'/Users/minrk/.ipython'\r\n",
      "    The name of the IPython directory. This directory is used for logging\r\n",
      "    configuration (through profiles), history storage, etc. The default is\r\n",
      "    usually $HOME/.ipython. This options can also be specified through the\r\n",
      "    environment variable IPYTHONDIR.\r\n",
      "--gui=<CaselessStrEnum> (InteractiveShellApp.gui)\r\n",
      "    Default: None\r\n",
      "    Choices: ('qt', 'wx', 'gtk', 'glut', 'pyglet', 'osx')\r\n",
      "    Enable GUI event loop integration ('qt', 'wx', 'gtk', 'glut', 'pyglet',\r\n",
      "    'osx').\r\n",
      "--logappend=<Unicode> (InteractiveShell.logappend)\r\n",
      "    Default: ''\r\n",
      "    Start logging to the given file in append mode.\r\n",
      "-m <Unicode> (InteractiveShellApp.module_to_run)\r\n",
      "    Default: ''\r\n",
      "    Run the module as a script.\r\n",
      "--log-level=<Enum> (Application.log_level)\r\n",
      "    Default: 30\r\n",
      "    Choices: (0, 10, 20, 30, 40, 50, 'DEBUG', 'INFO', 'WARN', 'ERROR', 'CRITICAL')\r\n",
      "    Set the log level by value or name.\r\n",
      "--ext=<Unicode> (InteractiveShellApp.extra_extension)\r\n",
      "    Default: ''\r\n",
      "    dotted module name of an IPython extension to load.\r\n",
      "--config=<Unicode> (BaseIPythonApplication.extra_config_file)\r\n",
      "    Default: u''\r\n",
      "    Path to an extra config file to load.\r\n",
      "    If specified, load this config file in addition to any other IPython config.\r\n",
      "\r\n",
      "To see all available configurables, use `--help-all`\r\n",
      "\r\n",
      "Examples\r\n",
      "--------\r\n",
      "\r\n",
      "    ipython --matplotlib       # enable matplotlib integration\r\n",
      "    ipython --matplotlib=qt    # enable matplotlib integration with qt4 backend\r\n",
      "    \r\n",
      "    ipython --log-level=DEBUG  # set logging to DEBUG\r\n",
      "    ipython --profile=foo      # start with profile foo\r\n",
      "    \r\n",
      "    ipython qtconsole          # start the qtconsole GUI application\r\n",
      "    ipython help qtconsole     # show the help for the qtconsole subcmd\r\n",
      "    \r\n",
      "    ipython console            # start the terminal-based console application\r\n",
      "    ipython help console       # show the help for the console subcmd\r\n",
      "    \r\n",
      "    ipython notebook           # start the IPython notebook\r\n",
      "    ipython help notebook      # show the help for the notebook subcmd\r\n",
      "    \r\n",
      "    ipython profile create foo # create profile foo w/ default config files\r\n",
      "    ipython help profile       # show the help for the profile subcmd\r\n",
      "    \r\n",
      "    ipython locate             # print the path to the IPython directory\r\n",
      "\r\n",
      "    \r\n",
      "    ipython nbconvert           # convert notebooks to/from other formats\r\n",
      "\r\n"
     ]
    }
   ],
   "source": [
    "!ipython -h"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an important trick for finding out configuration info:\n",
    "    \n",
    "    $> ipython [subcommand] --help-all | grep [-C context] PATTERN\n",
    "\n",
    "`--help-all` exposes everything configurable in IPython,\n",
    "there is a good chance you will find what you are looking for."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A common configuration question is:\n",
    "\n",
    "> how do I disable the \"Do you really want to exit\" message when quitting with `Ctrl-d`?\n",
    "\n",
    "Well, logically this has to do with `exit`, so let's look for it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    If invoked with no options, it executes the file and \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[Ks, passing the\r\n",
      "    IPython session after running the script, rather than \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[King. Files ending\r\n",
      "--confirm-\u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K\r\n",
      "    Set to confirm when you try to \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K IPython with an EOF (Control-D\r\n",
      "    in Unix, Control-Z/Enter in Windows). By typing '\u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K' or 'quit',\r\n",
      "    you can force a direct \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K without any confirmation.\r\n",
      "--no-confirm-\u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K\r\n",
      "    Don't prompt the user when \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[King.\r\n",
      "--TerminalInteractiveShell.confirm_\u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K=<CBool>\r\n",
      "    Set to confirm when you try to \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K IPython with an EOF (Control-D in Unix,\r\n",
      "    Control-Z/Enter in Windows). By typing '\u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K' or 'quit', you can force a\r\n",
      "    direct \u001b[1;31;46m\u001b[Kexit\u001b[m\u001b[K without any confirmation.\r\n"
     ]
    }
   ],
   "source": [
    "!ipython --help-all | GREP_COLOR='1;31;46' grep --color exit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Which shows me that I can disable the confirmation for a single IPython session with\n",
    "\n",
    "    $> ipython --no-confirm-exit\n",
    "    \n",
    "or I can set the `TerminalInteractiveShell.confirm_exit=False` in a config file,\n",
    "to have it be the default behavior."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configuration principles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are the design principles of the IPython configuration system: \n",
    "\n",
    "* Configuration is always done using class attributes\n",
    "* Classes that have configurable attributes are subclasses of `Configurable`\n",
    "* Attributes that are configurable are typed traitlets objects (`Bool`, `Unicode`, etc.) that have `config=True`\n",
    "* In config files, configurable attributes can be set using the format `Class.attr_name=the_value`\n",
    "* At the command line, configurable attributes can be set using the syntax `--Class.attr_name=the_value`\n",
    "* At the command line, some attributes have shorthands of the form `--attr-name=value`\n",
    "* Values set at the command line have higher priority than those set in config files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The IPython Profile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "IPython has a notion of 'profiles' - these are directories that live in your IPYTHONDIR,\n",
    "which contain configuration and runtime information.\n",
    "\n",
    "Let's create the default profile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ProfileCreate] WARNING | Generating default config file: u'/Users/minrk/.ipython/profile_newprofile/ipython_config.py'\r\n",
      "[ProfileCreate] WARNING | Generating default config file: u'/Users/minrk/.ipython/profile_newprofile/ipython_qtconsole_config.py'\r\n",
      "[ProfileCreate] WARNING | Generating default config file: u'/Users/minrk/.ipython/profile_newprofile/ipython_notebook_config.py'\r\n"
     ]
    }
   ],
   "source": [
    "!ipython profile create newprofile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This creates a profile in your IPYTHONDIR (`ipython locate` is a quick way to see where your IPYTHONDIR is),\n",
    "and populates it with automatically generated default config files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/minrk/.ipython/profile_default\r\n",
      "/Users/minrk/.ipython/profile_newprofile\r\n"
     ]
    }
   ],
   "source": [
    "!ipython locate profile default\n",
    "!ipython locate profile newprofile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can skim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'/Users/minrk/Dropbox/dev/ip/pres/ipython-in-depth/profile_euroscipy'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profile = get_ipython().profile_dir.location\n",
    "profile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34mdb\u001b[m\u001b[m/                          ipython_config.py            ipython_qtconsole_config.py  \u001b[34mpid\u001b[m\u001b[m/                         \u001b[34mstartup\u001b[m\u001b[m/\r\n",
      "history.sqlite               ipython_notebook_config.py   \u001b[34mlog\u001b[m\u001b[m/                         \u001b[34msecurity\u001b[m\u001b[m/                    \u001b[34mstatic\u001b[m\u001b[m/\r\n"
     ]
    }
   ],
   "source": [
    "ls $profile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's peek at our config file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pycat $profile/ipython_config.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The %config magic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `%config` magic lets you do some configuration at runtime, rather than in configuration files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`%config` with no arguments will show you what configurable objects exist:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available objects for config:\n",
      "     ZMQInteractiveShell\n",
      "     HistoryManager\n",
      "     PrefilterManager\n",
      "     AliasManager\n",
      "     IPCompleter\n",
      "     PromptManager\n",
      "     DisplayFormatter\n",
      "     LaTeXTool\n",
      "     MagicsManager\n",
      "     IPKernelApp\n",
      "     StoreMagics\n",
      "     InlineBackend\n"
     ]
    }
   ],
   "source": [
    "%config"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And `%config Class` will show you the config for that class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "InlineBackend options\n",
      "-------------------\n",
      "InlineBackend.close_figures=<Bool>\n",
      "    Current: True\n",
      "    Close all figures at the end of each cell.\n",
      "    When True, ensures that each cell starts with no active figures, but it also\n",
      "    means that one must keep track of references in order to edit or redraw\n",
      "    figures in subsequent cells. This mode is ideal for the notebook, where\n",
      "    residual plots from other cells might be surprising.\n",
      "    When False, one must call figure() to create new figures. This means that\n",
      "    gcf() and getfigs() can reference figures created in other cells, and the\n",
      "    active figure can continue to be edited with pylab/pyplot methods that\n",
      "    reference the current active figure. This mode facilitates iterative editing\n",
      "    of figures, and behaves most consistently with other matplotlib backends,\n",
      "    but figure barriers between cells must be explicit.\n",
      "InlineBackend.figure_format=<CaselessStrEnum>\n",
      "    Current: 'retina'\n",
      "    Choices: ['svg', 'png', 'retina']\n",
      "    The image format for figures with the inline backend.\n",
      "InlineBackend.rc=<Dict>\n",
      "    Current: {'font.size': 10, 'figure.figsize': (6.0, 4.0), 'figure.facecolor': 'white', 'savefig.dpi': 72, 'figure.subplot.bottom': 0.125, 'figure.edgecolor': 'white'}\n",
      "    Subset of matplotlib rcParams that should be different for the inline\n",
      "    backend.\n"
     ]
    }
   ],
   "source": [
    "%config InlineBackend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most importantly, the `%config` magic can be used to change the value of a configurable attribute at runtime. Here we tell the inline matplotlib backend to use SVG instead of the default PNG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x107a74090>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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iyOkcs6u5EBKAA91ueIJR0eHQAjD5zzFqb+W9Ldzom2skScLdidOcX/CSFRFl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107a45810>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 257,
       "width": 383
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.linspace(0,10,1000)\n",
    "y = np.sin(x)\n",
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = 'svg'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x107b1d9d0>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<!-- Created with matplotlib (http://matplotlib.org/) -->\n",
       "<svg height=\"258pt\" version=\"1.1\" viewBox=\"0 0 383 258\" width=\"383pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
       " <defs>\n",
       "  <style type=\"text/css\">\n",
       "*{stroke-linecap:butt;stroke-linejoin:round;}\n",
       "  </style>\n",
       " </defs>\n",
       " <g id=\"figure_1\">\n",
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   "source": [
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Startup Files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Startup files are simple Python or IPython scripts\n",
    "that are run whenever you start IPython.\n",
    "These are a useful way to do super common imports,\n",
    "or for building database connections to load on startup of a non-default profile.\n",
    "\n",
    "We can use a startup file to ensure that our `%tic/toc` magics are always defined,\n",
    "every time we start IPython."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "README\r\n"
     ]
    }
   ],
   "source": [
    "!ls $profile/startup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is the IPython startup directory\r\n",
      "\r\n",
      ".py and .ipy files in this directory will be run *prior* to any code or files specified\r\n",
      "via the exec_lines or exec_files configurables whenever you load this profile.\r\n",
      "\r\n",
      "Files will be run in lexicographical order, so you can control the execution order of files\r\n",
      "with a prefix, e.g.::\r\n",
      "\r\n",
      "    00-first.py\r\n",
      "    50-middle.py\r\n",
      "    99-last.ipy\r\n"
     ]
    }
   ],
   "source": [
    "!cat $profile/startup/README"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding common imports, so we never have to forget them again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing /Users/minrk/Dropbox/dev/ip/pres/ipython-in-depth/profile_euroscipy/startup/simpleimports.py\n"
     ]
    }
   ],
   "source": [
    "%%writefile $profile/startup/simpleimports.py\n",
    "\n",
    "import sys, os, time, re"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Restart the kernel** and then run the following cells immediately to verify these scripts have been executed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'sys' (built-in)>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sys"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "profile = get_ipython().profile_dir.location"
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  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# c.InteractiveShellApp.extensions = []\r\n"
     ]
    }
   ],
   "source": [
    "!cat $profile/ipython_config.py | grep InteractiveShellApp.extensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# If you want to add script magics that aren't on your path, specify them in\r\n",
      "# script_paths\r\n",
      "# c.ScriptMagics.script_magics = []\r\n",
      "\r\n",
      "# Dict mapping short 'ruby' names to full paths, such as '/opt/secret/bin/ruby'\r\n",
      "# \r\n",
      "# Only necessary for items in script_magics where the default path will not find\r\n",
      "# the right interpreter.\r\n",
      "# c.ScriptMagics.script_paths = {}\r\n",
      "c.InteractiveShellApp.extensions = ['mymagics']\r\n"
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   "source": [
    "!echo \"c.InteractiveShellApp.extensions = ['mymagics']\" >> $profile/ipython_config.py\n",
    "!tail $profile/ipython_config.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Restart the kernel** to see the effects:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "101 ms\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "%tic\n",
    "time.sleep(0.1)\n",
    "%toc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n"
     ]
    },
    {
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92gIq9oOcFHux6HK5og2q+Ox1HYQNnrJU7C1accTi2QyPv8v52HeUTbHnbEJJ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\nnUnRuIMa9SH24+hVeNhVM9kNxTenirJg8IQz6uHuSTzODa4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6RVIrrUlh4dYomCMZAy4H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\nWDKDby2FfYVUHMvv0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40nnngCBwcHeOmll/CVr3wF586dw4c//OHS51999VW89NJLuHXr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      "text/plain": [
       "<matplotlib.figure.Figure at 0x103ec26d0>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 257,
       "width": 379
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%nbrun Sample"
   ]
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 0
}