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.. _htmlnotebook:
An HTML Notebook IPython
The IPython Notebook consists of two related components:
* An JSON based Notebook document format for recording and distributing
Python code and rich text.
* A web-based user interface for authoring and running notebook documents.
The Notebook can be used by starting the Notebook server with the
$ ipython notebook
Note that by default, the notebook doesn't load pylab, it's just a normal
IPython session like any other. If you want pylab support, you must use::
$ ipython notebook --pylab
which will behave similar to the terminal and Qt console versions, using your
default matplotlib backend and providing floating interactive plot windows. If
you want inline figures, you must manually select the ``inline`` backend::
$ ipython notebook --pylab=inline
This server uses the same ZeroMQ-based two process kernel architecture as
the QT Console as well Tornado for serving HTTP requests. Some of the main
features of the Notebook include:
* Display rich data (png/html/latex/svg) in the browser as a result of
* Compose text cells using HTML and Markdown.
* Import and export notebook documents in range of formats (.ipynb, .py).
* In browser syntax highlighting, tab completion and autoindentation.
* Inline matplotlib plots that can be stored in Notebook documents and opened
See :ref:`our installation documentation <install_index>` for directions on
how to install the notebook and its dependencies.
.. note::
You can start more than one notebook server at the same time, if you want to
work on notebooks in different directories. By default the first notebook
server starts in port 8888, later notebooks search for random ports near
that one. You can also manually specify the port with the ``--port``
Basic Usage
The landing page of the notebook server application, which we call the IPython
Notebook *dashboard*, shows the notebooks currently available in the directory
in which the application was started, and allows you to create new notebooks.
A notebook is a combination of two things:
1. An interactive session connected to an IPython kernel, controlled by a web
application that can send input to the console and display many types of output
(text, graphics, mathematics and more). This is the same kernel used by the
:ref:`Qt console <qtconsole>`, but in this case the web console sends input in
persistent cells that you can edit in-place instead of the vertically scrolling
terminal style used by the Qt console.
2. A document that can save the inputs and outputs of the session as well as
additional text that accompanies the code but is not meant for execution. In
this way, notebook files serve as a complete computational record of a session
including explanatory text and mathematics, code and resulting figures. These
documents are internally JSON files and are saved with the ``.ipynb``
If you have ever used the Mathematica or Sage notebooks (the latter is also
web-based__) you should feel right at home. If you have not, you should be
able to learn how to use it in just a few minutes.
.. __:
Creating and editing notebooks
You can create new notebooks from the dashboard with the ``New Notebook``
button or open existing ones by clicking on their name. Once in a notebook,
your browser tab will reflect the name of that notebook (prefixed with "IPy:").
The URL for that notebook is not meant to be human-readable and is *not*
persistent across invocations of the notebook server.
You can also drag and drop into the area listing files any python file: it
will be imported into a notebook with the same name (but ``.ipynb`` extension)
located in the directory where the notebook server was started. This notebook
will consist of a single cell with all the code in the file, which you can
later manually partition into individual cells for gradual execution, add text
and graphics, etc.
Workflow and limitations
The normal workflow in a notebook is quite similar to a normal IPython session,
with the difference that you can edit a cell in-place multiple times until you
obtain the desired results rather than having to rerun separate scripts with
the ``%run`` magic (though magics also work in the notebook). Typically
you'll work on a problem in pieces, organizing related pieces into cells and
moving forward as previous parts work correctly. This is much more convenient
for interactive exploration than breaking up a computation into scripts that
must be executed together, especially if parts of them take a long time to run
(you can use tricks with namespaces and ``%run -i``, but we think the notebook
is a more natural solution for that kind of problem).
The only significant limitation the notebook currently has, compared to the qt
console, is that it can not run any code that expects input from the kernel
(such as scripts that call :func:`raw_input`). Very importantly, this means
that the ``%debug`` magic does *not* work in the notebook! We intend to
correct this limitation, but in the meantime, there is a way to debug problems
in the notebook: you can attach a Qt console to your existing notebook kernel,
and run ``%debug`` from the Qt console. Simply look for the lines in the
terminal where you started the kernel that read something like::
[IPKernelApp] To connect another client to this kernel, use:
[IPKernelApp] --existing --shell=53328 --iopub=53817 --stdin=34736 --hb=45543
and then start a qt console pointing to that kernel::
ipython qtconsole --existing --shell=53328 --iopub=53817 --stdin=34736 --hb=45543
Text input
In addition to code cells and the output they procude (such as figures), you
can also type text not meant for execution. To type text, change the type of a
cell from ``Code`` to ``Markdown`` by using the button or the :kbd:`Ctrl-m m`
keybinding (see below). You can then type any text in Markdown_ syntax, as
well as mathematical expressions if you use ``$...$`` for inline math or
``$$...$$`` for displayed math.
Exporting a notebook
If you want to provide others with a static HTML or PDF view of your notebook,
use the ``Print`` button. This opens a static view of the document, which you
can print to PDF using your operating system's facilities, or save to a file
with your web browser's 'Save' option (note that typically, this will create
both an html file *and* a directory called `notebook_name_files` next to it
that contains all the necessary style information, so if you intend to share
this, you must send the directory along with the main html file).
The `Download` button lets you save a notebook file to the Download area
configured by your web browser (particularly useful if you are running the
notebook server on a remote host and need a file locally). The notebook is
saved by default with the ``.ipynb`` extension and the files contain JSON data
that is not meant for human editing or consumption. But you can always export
the input part of a notebook to a plain python script by choosing Python format
in the `Download` drop list. This removes all output and saves the text cells
in comment areas.
.. warning::
While in simple cases you can roundtrip a notebook to Python, edit the
python file and import it back without loss, this is in general *not
guaranteed to work at all*. As the notebook format evolves in complexity,
there will be attributes of the notebook that will not survive a roundtrip
through the Python form. You should think of the Python format as a way to
output a script version of a notebook and the import capabilities as a way
to load existing code to get a notebook started. But the Python version is
*not* an alternate notebook format.
Keyboard use
All actions in the notebook can be achieved with the mouse, but we have also
added keyboard shortcuts for the most common ones, so that productive use of
the notebook can be achieved with minimal mouse intervention. The main
key bindings you need to remember are:
* :kbd:`Shift-Enter`: execute the current cell (similar to the Qt console),
show output (if any) and create a new cell below. Note that in the notebook,
simply using :kbd:`Enter` *never* forces execution, it simply inserts a new
line in the current cell. Therefore, in the notebook you must always use
:kbd:`Shift-Enter` to get execution (or use the mouse and click on the ``Run
Selected`` button).
* :kbd:`Ctrl-Enter`: execute the current cell in "terminal mode", where any
output is shown but the cursor cursor stays in the current cell, whose input
area is flushed empty. This is convenient to do quick in-place experiments
or query things like filesystem content without creating additional cells you
may not want saved in your notebook.
* :kbd:`Ctrl-m`: this is the prefix for all other keybindings, which consist
of an additional single letter. Type :kbd:`Ctrl-m h` (that is, the sole
letter :kbd:`h` after :kbd:`Ctrl-m`) and IPython will show you the remaining
available keybindings.
Notebook document format
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