{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# IPython: beyond plain Python"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"When executing code in IPython, all valid Python syntax works as-is, but IPython provides a number of features designed to make the interactive experience more fluid and efficient."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## First things first: running code, getting help"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In the notebook, to run a cell of code, hit `Shift-Enter`. This executes the cell and puts the cursor in the next cell below, or makes a new one if you are at the end. Alternately, you can use:\n",
" \n",
"- `Alt-Enter` to force the creation of a new cell unconditionally (useful when inserting new content in the middle of an existing notebook).\n",
"- `Control-Enter` executes the cell and keeps the cursor in the same cell, useful for quick experimentation of snippets that you don't need to keep permanently."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hi\n"
]
}
],
"source": [
"print(\"Hi\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Getting help:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"?"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"Typing `object_name?` will print all sorts of details about any object, including docstrings, function definition lines (for call arguments) and constructor details for classes."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import collections\n",
"collections.namedtuple?"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"collections.Counter??"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"*int*?"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"An IPython quick reference card:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%quickref"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Tab completion"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tab completion, especially for attributes, is a convenient way to explore the structure of any object youâre dealing with. Simply type `object_name.<TAB>` to view the objectâs attributes. Besides Python objects and keywords, tab completion also works on file and directory names."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"collections."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## The interactive workflow: input, output, history"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"12"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2+10"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"22"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_+10"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"You can suppress the storage and rendering of output if you append `;` to the last cell (this comes in handy when plotting with matplotlib, for example):"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"10+20;"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"22"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"The output is stored in `_N` and `Out[N]` variables:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_10 == Out[10]"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"And the last three have shorthands for convenience:"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"last output: True\n",
"next one : 22\n",
"and next : 22\n"
]
}
],
"source": [
"from __future__ import print_function\n",
"\n",
"print('last output:', _)\n",
"print('next one :', __)\n",
"print('and next :', ___)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false,
"slideshow": {
"slide_type": "-"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'_10 == Out[10]'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"In[11]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'In[11]'"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_i"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"'In[11]'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"_ii"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"last input: _ii\n",
"next one : _i\n",
"and next : In[11]\n"
]
}
],
"source": [
"print('last input:', _i)\n",
"print('next one :', _ii)\n",
"print('and next :', _iii)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 1: print(\"Hi\")\n",
" 2: ?\n",
" 3:\n",
"import collections\n",
"collections.namedtuple?\n",
" 4: collections.Counter??\n",
" 5: *int*?\n"
]
}
],
"source": [
"%history -n 1-5"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"**Exercise**\n",
"\n",
"Write the last 10 lines of history to a file named `log.py`."
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"## Accessing the underlying operating system"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/Users/minrk/dev/ip/mine/examples/IPython Kernel\r\n"
]
}
],
"source": [
"!pwd"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"My current directory's files:\n",
"['Animations Using clear_output.ipynb', 'Background Jobs.ipynb', 'Beyond Plain Python.ipynb', 'Capturing Output.ipynb', 'Cell Magics.ipynb', 'Custom Display Logic.ipynb', 'Index.ipynb', 'Old Custom Display Logic.ipynb', 'Plotting in the Notebook.ipynb', 'Raw Input in the Notebook.ipynb', 'Rich Output.ipynb', 'Script Magics.ipynb', 'SymPy.ipynb', 'Terminal Usage.ipynb', 'Third Party Rich Output.ipynb', 'Trapezoid Rule.ipynb', 'Working With External Code.ipynb', '__pycache__', 'data', 'example-demo.py', 'gui', 'ipython-completion.bash', 'ipython-get-history.py', 'ipython-qtconsole.desktop', 'ipython.desktop', 'mod.py', 'test.txt']\n"
]
}
],
"source": [
"files = !ls\n",
"print(\"My current directory's files:\")\n",
"print(files)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Animations Using clear_output.ipynb, Background Jobs.ipynb, Beyond Plain Python.ipynb, Capturing Output.ipynb, Cell Magics.ipynb, Custom Display Logic.ipynb, Index.ipynb, Old Custom Display Logic.ipynb, Plotting in the Notebook.ipynb, Raw Input in the Notebook.ipynb, Rich Output.ipynb, Script Magics.ipynb, SymPy.ipynb, Terminal Usage.ipynb, Third Party Rich Output.ipynb, Trapezoid Rule.ipynb, Working With External Code.ipynb, __pycache__, data, example-demo.py, gui, ipython-completion.bash, ipython-get-history.py, ipython-qtconsole.desktop, ipython.desktop, mod.py, test.txt]\r\n"
]
}
],
"source": [
"!echo $files"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ANIMATIONS USING CLEAR_OUTPUT.IPYNB\r\n"
]
}
],
"source": [
"!echo {files[0].upper()}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that all this is available even in multiline blocks:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"00 - Animations Using clear_output\n",
"01 - Background Jobs\n",
"02 - Beyond Plain Python\n",
"03 - Capturing Output\n",
"04 - Cell Magics\n",
"05 - Custom Display Logic\n",
"06 - Index\n",
"07 - Old Custom Display Logic\n",
"08 - Plotting in the Notebook\n",
"09 - Raw Input in the Notebook\n",
"10 - Rich Output\n",
"11 - Script Magics\n",
"12 - SymPy\n",
"13 - Terminal Usage\n",
"14 - Third Party Rich Output\n",
"15 - Trapezoid Rule\n",
"16 - Working With External Code\n",
"--\n",
"--\n",
"--\n",
"--\n",
"--\n",
"--\n",
"--\n",
"--\n",
"--\n",
"--\n"
]
}
],
"source": [
"import os\n",
"for i,f in enumerate(files):\n",
" if f.endswith('ipynb'):\n",
" !echo {\"%02d\" % i} - \"{os.path.splitext(f)[0]}\"\n",
" else:\n",
" print('--')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Beyond Python: magic functions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The IPyhton 'magic' functions are a set of commands, invoked by prepending one or two `%` signs to their name, that live in a namespace separate from your normal Python variables and provide a more command-like interface. They take flags with `--` and arguments without quotes, parentheses or commas. The motivation behind this system is two-fold:\n",
" \n",
"- To provide an orthogonal namespace for controlling IPython itself and exposing other system-oriented functionality.\n",
"\n",
"- To expose a calling mode that requires minimal verbosity and typing while working interactively. Thus the inspiration taken from the classic Unix shell style for commands."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%magic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Line vs cell magics:"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"10000 loops, best of 3: 19.3 µs per loop\n"
]
}
],
"source": [
"%timeit list(range(1000))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"100000 loops, best of 3: 2.78 µs per loop\n"
]
}
],
"source": [
"%%timeit\n",
"list(range(10))\n",
"list(range(100))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Line magics can be used even inside code blocks:"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"size: 100 100000 loops, best of 3: 1.86 µs per loop\n",
"size: 200 100000 loops, best of 3: 2.49 µs per loop\n",
"size: 300 100000 loops, best of 3: 4.04 µs per loop\n",
"size: 400 100000 loops, best of 3: 6.21 µs per loop\n"
]
}
],
"source": [
"for i in range(1, 5):\n",
" size = i*100\n",
" print('size:', size, end=' ')\n",
" %timeit list(range(size))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Magics can do anything they want with their input, so it doesn't have to be valid Python:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"My shell is: /usr/local/bin/bash\n",
"My disk usage is:\n",
"Filesystem Size Used Avail Capacity iused ifree %iused Mounted on\n",
"/dev/disk1 233Gi 216Gi 16Gi 94% 56788108 4190706 93% /\n",
"devfs 190Ki 190Ki 0Bi 100% 656 0 100% /dev\n",
"map -hosts 0Bi 0Bi 0Bi 100% 0 0 100% /net\n",
"map auto_home 0Bi 0Bi 0Bi 100% 0 0 100% /home\n"
]
}
],
"source": [
"%%bash\n",
"echo \"My shell is:\" $SHELL\n",
"echo \"My disk usage is:\"\n",
"df -h"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Another interesting cell magic: create any file you want locally from the notebook:"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting test.txt\n"
]
}
],
"source": [
"%%writefile test.txt\n",
"This is a test file!\n",
"It can contain anything I want...\n",
"\n",
"And more..."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"This is a test file!\r\n",
"It can contain anything I want...\r\n",
"\r\n",
"And more..."
]
}
],
"source": [
"!cat test.txt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's see what other magics are currently defined in the system:"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"application/json": {
"cell": {
"!": "OSMagics",
"HTML": "Other",
"SVG": "Other",
"bash": "Other",
"capture": "ExecutionMagics",
"debug": "ExecutionMagics",
"file": "Other",
"html": "DisplayMagics",
"javascript": "DisplayMagics",
"latex": "DisplayMagics",
"perl": "Other",
"prun": "ExecutionMagics",
"pypy": "Other",
"python": "Other",
"python2": "Other",
"python3": "Other",
"ruby": "Other",
"script": "ScriptMagics",
"sh": "Other",
"svg": "DisplayMagics",
"sx": "OSMagics",
"system": "OSMagics",
"time": "ExecutionMagics",
"timeit": "ExecutionMagics",
"writefile": "OSMagics"
},
"line": {
"alias": "OSMagics",
"alias_magic": "BasicMagics",
"autocall": "AutoMagics",
"automagic": "AutoMagics",
"autosave": "KernelMagics",
"bookmark": "OSMagics",
"cat": "Other",
"cd": "OSMagics",
"clear": "KernelMagics",
"colors": "BasicMagics",
"config": "ConfigMagics",
"connect_info": "KernelMagics",
"cp": "Other",
"debug": "ExecutionMagics",
"dhist": "OSMagics",
"dirs": "OSMagics",
"doctest_mode": "BasicMagics",
"ed": "Other",
"edit": "KernelMagics",
"env": "OSMagics",
"gui": "BasicMagics",
"hist": "Other",
"history": "HistoryMagics",
"install_default_config": "DeprecatedMagics",
"install_profiles": "DeprecatedMagics",
"killbgscripts": "ScriptMagics",
"ldir": "Other",
"less": "KernelMagics",
"lf": "Other",
"lk": "Other",
"ll": "Other",
"load": "CodeMagics",
"load_ext": "ExtensionMagics",
"loadpy": "CodeMagics",
"logoff": "LoggingMagics",
"logon": "LoggingMagics",
"logstart": "LoggingMagics",
"logstate": "LoggingMagics",
"logstop": "LoggingMagics",
"ls": "Other",
"lsmagic": "BasicMagics",
"lx": "Other",
"macro": "ExecutionMagics",
"magic": "BasicMagics",
"man": "KernelMagics",
"matplotlib": "PylabMagics",
"mkdir": "Other",
"more": "KernelMagics",
"mv": "Other",
"namespace": "Other",
"notebook": "BasicMagics",
"page": "BasicMagics",
"pastebin": "CodeMagics",
"pdb": "ExecutionMagics",
"pdef": "NamespaceMagics",
"pdoc": "NamespaceMagics",
"pfile": "NamespaceMagics",
"pinfo": "NamespaceMagics",
"pinfo2": "NamespaceMagics",
"popd": "OSMagics",
"pprint": "BasicMagics",
"precision": "BasicMagics",
"profile": "BasicMagics",
"prun": "ExecutionMagics",
"psearch": "NamespaceMagics",
"psource": "NamespaceMagics",
"pushd": "OSMagics",
"pwd": "OSMagics",
"pycat": "OSMagics",
"pylab": "PylabMagics",
"qtconsole": "KernelMagics",
"quickref": "BasicMagics",
"recall": "HistoryMagics",
"rehashx": "OSMagics",
"reload_ext": "ExtensionMagics",
"rep": "Other",
"rerun": "HistoryMagics",
"reset": "NamespaceMagics",
"reset_selective": "NamespaceMagics",
"rm": "Other",
"rmdir": "Other",
"run": "ExecutionMagics",
"save": "CodeMagics",
"sc": "OSMagics",
"set_env": "OSMagics",
"store": "StoreMagics",
"sx": "OSMagics",
"system": "OSMagics",
"tb": "ExecutionMagics",
"tic": "TimerMagics",
"time": "ExecutionMagics",
"timeit": "ExecutionMagics",
"toc": "TimerMagics",
"unalias": "OSMagics",
"unload_ext": "ExtensionMagics",
"who": "NamespaceMagics",
"who_ls": "NamespaceMagics",
"whos": "NamespaceMagics",
"xdel": "NamespaceMagics",
"xmode": "BasicMagics"
}
},
"text/plain": [
"Available line magics:\n",
"%alias %alias_magic %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %install_default_config %install_profiles %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %namespace %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %popd %pprint %precision %profile %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %tic %time %timeit %toc %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
"\n",
"Available cell magics:\n",
"%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%latex %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
"\n",
"Automagic is ON, % prefix IS NOT needed for line magics."
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%lsmagic"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Running normal Python code: execution and errors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Not only can you input normal Python code, you can even paste straight from a Python or IPython shell session:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"1\n",
"2\n",
"3\n",
"5\n",
"8\n"
]
}
],
"source": [
">>> # Fibonacci series:\n",
"... # the sum of two elements defines the next\n",
"... a, b = 0, 1\n",
">>> while b < 10:\n",
"... print(b)\n",
"... a, b = b, a+b"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0 1 2 3 4 5 6 7 8 9 "
]
}
],
"source": [
"In [1]: for i in range(10):\n",
" ...: print(i, end=' ')\n",
" ...: "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And when your code produces errors, you can control how they are displayed with the `%xmode` magic:"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Overwriting mod.py\n"
]
}
],
"source": [
"%%writefile mod.py\n",
"\n",
"def f(x):\n",
" return 1.0/(x-1)\n",
"\n",
"def g(y):\n",
" return f(y+1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's call the function `g` with an argument that would produce an error:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"ename": "ZeroDivisionError",
"evalue": "float division by zero",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-40-a54c5799f57e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmod\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
]
}
],
"source": [
"import mod\n",
"mod.g(0)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Exception reporting mode: Plain\n"
]
},
{
"ename": "ZeroDivisionError",
"evalue": "float division by zero",
"output_type": "error",
"traceback": [
"Traceback \u001b[1;36m(most recent call last)\u001b[0m:\n",
" File \u001b[0;32m\"<ipython-input-41-8932f4bf53fa>\"\u001b[0m, line \u001b[0;32m2\u001b[0m, in \u001b[0;35m<module>\u001b[0m\n mod.g(0)\n",
" File \u001b[0;32m\"/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\"\u001b[0m, line \u001b[0;32m6\u001b[0m, in \u001b[0;35mg\u001b[0m\n return f(y+1)\n",
"\u001b[1;36m File \u001b[1;32m\"/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\"\u001b[1;36m, line \u001b[1;32m3\u001b[1;36m, in \u001b[1;35mf\u001b[1;36m\u001b[0m\n\u001b[1;33m return 1.0/(x-1)\u001b[0m\n",
"\u001b[1;31mZeroDivisionError\u001b[0m\u001b[1;31m:\u001b[0m float division by zero\n"
]
}
],
"source": [
"%xmode plain\n",
"mod.g(0)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Exception reporting mode: Verbose\n"
]
},
{
"ename": "ZeroDivisionError",
"evalue": "float division by zero",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-42-539f73e80e01>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'xmode verbose'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mmod.g\u001b[0m \u001b[1;34m= <function g at 0x105887d08>\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y=0)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[1;36mglobal\u001b[0m \u001b[0;36mf\u001b[0m \u001b[1;34m= <function f at 0x105887d90>\u001b[0m\u001b[1;34m\n \u001b[0m\u001b[0;36my\u001b[0m \u001b[1;34m= 0\u001b[0m\n",
"\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x=1)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m \u001b[0;36mx\u001b[0m \u001b[1;34m= 1\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
]
}
],
"source": [
"%xmode verbose\n",
"mod.g(0)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The default `%xmode` is \"context\", which shows additional context but not all local variables. Let's restore that one for the rest of our session."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Exception reporting mode: Context\n"
]
}
],
"source": [
"%xmode context"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Running code in other languages with special `%%` magics"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"July"
]
}
],
"source": [
"%%perl\n",
"@months = (\"July\", \"August\", \"September\");\n",
"print $months[0];"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello World!\n"
]
}
],
"source": [
"%%ruby\n",
"name = \"world\"\n",
"puts \"Hello #{name.capitalize}!\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Raw Input in the notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Since 1.0 the IPython notebook web application support `raw_input` which for example allow us to invoke the `%debug` magic in the notebook:"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": false
},
"outputs": [
{
"ename": "ZeroDivisionError",
"evalue": "float division by zero",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-46-5e708f13c839>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mg\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m in \u001b[0;36mf\u001b[1;34m(x)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mZeroDivisionError\u001b[0m: float division by zero"
]
}
],
"source": [
"mod.g(0)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
"\u001b[1;32m 2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
"ipdb> up\n",
"> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[1;34m()\u001b[0m\n",
"\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m 5 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m----> 6 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
"ipdb> down\n",
"> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
"\u001b[1;32m 2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
"ipdb> bt\n",
" \u001b[1;32m<ipython-input-46-5e708f13c839>\u001b[0m(1)\u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n",
"\u001b[1;32m----> 1 \u001b[1;33m\u001b[0mmod\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
" \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(6)\u001b[0;36mg\u001b[1;34m()\u001b[0m\n",
"\u001b[0;32m 2 \u001b[0m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0;32m 3 \u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0;32m 4 \u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0;32m 5 \u001b[0m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;32m----> 6 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
"> \u001b[1;32m/Users/minrk/dev/ip/mine/examples/IPython Kernel/mod.py\u001b[0m(3)\u001b[0;36mf\u001b[1;34m()\u001b[0m\n",
"\u001b[1;32m 1 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m 2 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m----> 3 \u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[1;36m1.0\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m 4 \u001b[1;33m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\u001b[1;32m 5 \u001b[1;33m\u001b[1;32mdef\u001b[0m \u001b[0mg\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[0m\n",
"ipdb> exit\n"
]
}
],
"source": [
"%debug"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Don't forget to exit your debugging session. Raw input can of course be used to ask for user input:"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Are you enjoying this tutorial? yes\n",
"enjoy is: yes\n"
]
}
],
"source": [
"enjoy = input('Are you enjoying this tutorial? ')\n",
"print('enjoy is:', enjoy)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plotting in the notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This magic configures matplotlib to render its figures inline:"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [
{
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],
"text/plain": [
"<matplotlib.figure.Figure at 0x106c2a9b0>"
]
},
"metadata": {
"image/png": {
"height": 392,
"width": 599
}
},
"output_type": "display_data"
}
],
"source": [
"x = np.linspace(0, 2*np.pi, 300)\n",
"y = np.sin(x**2)\n",
"plt.plot(x, y)\n",
"plt.title(\"A little chirp\")\n",
"fig = plt.gcf() # let's keep the figure object around for later..."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The IPython kernel/client model"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"stdin_port\": 62401,\n",
" \"key\": \"64c935a7-64e8-4ab7-ab22-6e0f3ff84e02\",\n",
" \"hb_port\": 62403,\n",
" \"transport\": \"tcp\",\n",
" \"signature_scheme\": \"hmac-sha256\",\n",
" \"shell_port\": 62399,\n",
" \"control_port\": 62402,\n",
" \"ip\": \"127.0.0.1\",\n",
" \"iopub_port\": 62400\n",
"}\n",
"\n",
"Paste the above JSON into a file, and connect with:\n",
" $> ipython <app> --existing <file>\n",
"or, if you are local, you can connect with just:\n",
" $> ipython <app> --existing kernel-25383540-ce7f-4529-900a-ded0e510d5d8.json \n",
"or even just:\n",
" $> ipython <app> --existing \n",
"if this is the most recent IPython session you have started.\n"
]
}
],
"source": [
"%connect_info"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can automatically connect a Qt Console to the currently running kernel with the `%qtconsole` magic, or by typing `ipython console --existing <kernel-UUID>` in any terminal:"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"%qtconsole"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.2"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
distrib
>
Mageia
>
7
>
armv7hl
>
media
>
core-release
>
by-pkgid
>
ecc026b61096e2959ba01e3826059e7c
>
files
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13
