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Merge pull request #887 from ipython/qtconsole-menu...
Merge pull request #887 from ipython/qtconsole-menu Major improvements to the Qt console with menubar and tabs. - Menu support for all actions previously available only via keybindings or right-click menus. - Help menu giving quick access to information magics and online docs. - Magic menu with top-level access to common magics and full access to all. - Edit menu with common editing actions. - View menu for font size, full-screen, etc. - tabs: you can run multiple tabs either pointing to the same kernel or to separate kernels.

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.. _tutorial:
======================
Introducing IPython
======================
You don't need to know anything beyond Python to start using IPython – just type
commands as you would at the standard Python prompt. But IPython can do much
more than the standard prompt. Some key features are described here. For more
information, check the :ref:`tips page <tips>`, or look at examples in the
`IPython cookbook <http://wiki.ipython.org/index.php?title=Cookbook>`_.
If you've never used Python before, you might want to look at `the official
tutorial <http://docs.python.org/tutorial/>`_ or an alternative, `Dive into
Python <http://diveintopython.org/toc/index.html>`_.
Tab completion
==============
Tab completion, especially for attributes, is a convenient way to explore the
structure of any object you're dealing with. Simply type ``object_name.<TAB>``
to view the object's attributes (see :ref:`the readline section <readline>` for
more). Besides Python objects and keywords, tab completion also works on file
and directory names.
Exploring your objects
======================
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. To get specific information on an object, you
can use the magic commands ``%pdoc``, ``%pdef``, ``%psource`` and ``%pfile``
Magic functions
===============
IPython has a set of predefined 'magic functions' that you can call with a
command line style syntax. These include:
- Functions that work with code: ``%run``, ``%edit``, ``%save``, ``%macro``,
``%recall``, etc.
- Functions which affect the shell: ``%colors``, ``%xmode``, ``%autoindent``, etc.
- Other functions such as ``%reset``, ``%timeit`` or ``%paste``.
You can always call these using the % prefix, and if you're typing one on a line
by itself, you can omit even that::
run thescript.py
For more details on any magic function, call ``%somemagic?`` to read its
docstring. To see all the available magic functions, call ``%lsmagic``.
Running and Editing
-------------------
The %run magic command allows you to run any python script and load all of its
data directly into the interactive namespace. Since the file is re-read from
disk each time, changes you make to it are reflected immediately (unlike
imported modules, which have to be specifically reloaded). IPython also includes
:ref:`dreload <dreload>`, a recursive reload function.
%run has special flags for timing the execution of your scripts (-t), or for
running them under the control of either Python's pdb debugger (-d) or
profiler (-p).
The %edit command gives a reasonable approximation of multiline editing,
by invoking your favorite editor on the spot. IPython will execute the
code you type in there as if it were typed interactively.
Debugging
---------
After an exception occurs, you can call ``%debug`` to jump into the Python
debugger (pdb) and examine the problem. Alternatively, if you call ``%pdb``,
IPython will automatically start the debugger on any uncaught exception. You can
print variables, see code, execute statements and even walk up and down the
call stack to track down the true source of the problem. Running programs with
%run and pdb active can be an efficient way to develop and debug code, in many
cases eliminating the need for print statements or external debugging tools.
You can also step through a program from the beginning by calling
``%run -d theprogram.py``.
History
=======
IPython stores both the commands you enter, and the results it produces. You
can easily go through previous commands with the up- and down-arrow keys, or
access your history in more sophisticated ways.
Input and output history are kept in variables called ``In`` and ``Out``, which
can both be indexed by the prompt number on which they occurred, e.g. ``In[4]``.
The last three objects in output history are also kept in variables named ``_``,
``__`` and ``___``.
You can use the ``%history`` magic function to examine past input and output.
Input history from previous sessions is saved in a database, and IPython can be
configured to save output history.
Several other magic functions can use your input history, including ``%edit``,
``%rerun``, ``%recall``, ``%macro``, ``%save`` and ``%pastebin``. You can use a
standard format to refer to lines::
%pastebin 3 18-20 ~1/1-5
This will take line 3 and lines 18 to 20 from the current session, and lines
1-5 from the previous session.
System shell commands
=====================
To run any command at the system shell, simply prefix it with !, e.g.::
!ping www.bbc.co.uk
You can capture the output into a Python list, e.g.: ``files = !ls``. To pass
the values of Python variables or expressions to system commands, prefix them
with $: ``!grep -rF $pattern ipython/*``. See :ref:`our shell section
<system_shell_access>` for more details.
Define your own system aliases
------------------------------
It's convenient to have aliases to the system commands you use most often.
This allows you to work seamlessly from inside IPython with the same commands
you are used to in your system shell. IPython comes with some pre-defined
aliases and a complete system for changing directories, both via a stack (see
%pushd, %popd and %dhist) and via direct %cd. The latter keeps a history of
visited directories and allows you to go to any previously visited one.
Configuration
=============
Much of IPython can be tweaked through configuration. To get started, use the
command ``ipython profile create`` to produce the default config files. These
will be placed in :file:`~/.ipython/profile_default` or
:file:`~/.config/ipython/profile_default`, and contain comments explaining what
the various options do.
Profiles allow you to use IPython for different tasks, keeping separate config
files and history for each one. More details in :ref:`the profiles section
<profiles>`.