Initial refactoring of htmlnotebook.txt into 3 parts.

Renamed htmlnotebook.txt to notebook.txt. 79-char width hard wrapping imposed. Rearrangment of order and level within notebook.txt. Almost no text modified.

docs/source/interactive/converting_notebooks.txt

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+
+
+.. _`nbconvert script`:
+
+Converting notebooks to other formats
+=====================================
+
+Newly added in the 1.0 release of IPython is the ``nbconvert`` tool, which 
+allows you to convert an ``.ipynb`` notebook document file into various static 
+formats. 
+
+Currently, ``nbconvert`` is provided as a command line tool, run as a script 
+using IPython. In the future, a direct export capability from within the 
+IPython Notebook web app is planned. 
+
+The command-line syntax to run the ``nbconvert`` script is::
+
+  $ ipython nbconvert --format=FORMAT notebook.ipynb
+
+This will convert the IPython document file ``notebook.ipynb`` into the output 
+format given by the ``FORMAT`` string.
+
+The default output format is HTML, for which the ``--format`` modifier may be 
+omitted::
+  
+  $ ipython nbconvert notebook.ipynb
+
+The currently supported export formats are the following:
+
+* HTML:
+
+  - **full_html**:
+    Standard HTML
+
+  - **simple_html**:
+    Simplified HTML
+
+  - **reveal**:
+    HTML slideshow presentation for use with the ``reveal.js`` package
+
+* PDF:
+
+  - **sphinx_howto**:
+    The format for Sphinx_ HOWTOs; similar to an ``article`` in LaTeX
+
+  - **sphinx_manual**:
+    The format for Sphinx_ manuals; similar to a ``book`` in LaTeX 
+
+  - **latex**:
+    An article formatted completely using LaTeX
+
+* Markup:
+
+  - **rst**:
+    reStructuredText_ markup
+
+  - **markdown**:
+    Markdown_ markup
+
+.. _Sphinx: http://sphinx-doc.org/
+.. _reStructuredText: http://docutils.sourceforge.net/rst.html
+
+* Python:
+
+    Comments out all the non-Python code to produce a ``.py`` Python
+    script with just the code content. Currently the output includes IPython 
+    magics, and so can be run with ``ipython``, after changing the extension 
+    of the script to ``.ipy``.
+    
+The files output file created by ``nbconvert`` will have the same base name as
+the notebook and will be placed in the current working directory. Any
+supporting files (graphics, etc) will be placed in a new directory with the
+same base name as the notebook, suffixed with ``_files``::
+
+  $ ipython nbconvert notebook.ipynb
+  $ ls
+  notebook.ipynb   notebook.html    notebook_files/
+
+Each of the options for PDF export produces as an intermediate step a LaTeX 
+``.tex`` file with the same basename as the notebook, as well as individual 
+files for each figure, and ``.text`` files with textual output from running
+code cells.
+
+To actually produce the final PDF file, run the following commands::
+  
+  $ ipython nbconvert --format=latex notebook.ipynb
+  $ pdflatex notebook
+
+This requires a local installation of LaTeX on your machine.
+The output is a PDF file ``notebook.pdf``, also placed inside the 
+``nbconvert_build`` subdirectory.
+
+Alternatively, the output may be sent to standard output with::
+    
+  $ ipython nbconvert notebook.ipynb --stdout
+    
+Multiple notebooks can be specified from the command line::
+    
+  $ ipython nbconvert notebook*.ipynb
+  $ ipython nbconvert notebook1.ipynb notebook2.ipynb
+    
+or via a list in a configuration file, say ``mycfg.py``, containing the text::
+
+  c = get_config()
+  c.NbConvertApp.notebooks = ["notebook1.ipynb", "notebook2.ipynb"]
+
+and using the command::
+
+  $ ipython nbconvert --config mycfg.py
+
+
+Extracting standard Python files from notebooks
+-----------------------------------------------
+``.ipynb`` notebook document files are plain text files which store a 
+representation in JSON format of the contents of a notebook space. As such, 
+they are not valid ``.py`` Python scripts, and so can be neither imported 
+directly with ``import`` in Python, nor run directly as a standard Python 
+script (though both of these are possible with simple workarounds).
+
+
+To extract the Python code from within a notebook document, the simplest 
+method is to use the ``File | Download as | Python (.py)`` menu item; the 
+resulting ``.py`` script will be downloaded to your browser's  default 
+download location.
+
+An alternative is to pass an argument to the IPython Notebook, from the moment 
+when it is originally started, specifying that whenever it saves an ``.ipynb`` 
+notebook document, it should, at the same time, save the corresponding 
+ ``.py`` script. To do so, you can execute the following command::
+
+  $ ipython notebook --script
+
+or you can set this option permanently in your configuration file with::
+
+  c = get_config()
+  c.NotebookManager.save_script=True
+
+The result is that standard ``.py`` files are also now generated, which 
+can be ``%run``, imported from regular IPython sessions or other notebooks, or 
+executed at the command line, as usual.  Since the raw code you have typed is 
+exported, you must avoid using syntax such as IPython magics and other 
+IPython-specific extensions to the language for the files to be able to be 
+successfully imported.
+.. or you can change the script's extension to ``.ipy`` and run it with::
+..
+..  $ ipython script.ipy
+
+In normal Python practice, the standard way to differentiate importable code 
+in a Python script from the "executable" part of a script is to use the 
+following idiom at the start of the executable part of the code::
+
+  if __name__ == '__main__'
+
+    # rest of the code...
+  
+Since all cells in the notebook are run as top-level code, you will need to
+similarly protect *all* cells that you do not want executed when other scripts
+try to import your notebook.  A convenient shortand for this is to define 
+early on::
+
+  script = __name__ == '__main__'
+
+Then in any cell that you need to protect, use::
+
+  if script:
+    # rest of the cell...
+
+
+
+.. _notebook_format:
+
+Notebook JSON file format
+-------------------------
+Notebook documents are JSON files with an ``.ipynb`` extension, formatted
+as legibly as possible with minimal extra indentation and cell content broken
+across lines to make them reasonably friendly to use in version-control
+workflows.  You should be very careful if you ever manually edit this JSON
+data, as it is extremely easy to corrupt its internal structure and make the
+file impossible to load.  In general, you should consider the notebook as a
+file meant only to be edited by the IPython Notebook app itself, not for 
+hand-editing.
+
+.. note::
+
+     Binary data such as figures are also saved directly in the JSON file.  
+     This provides convenient single-file portability, but means that the 
+     files can be large; a ``diff`` of binary data is also not very 
+     meaningful.  Since the binary blobs are encoded in a single line, they 
+     affect only one line of the ``diff`` output, but they are typically very 
+     long lines.  You can use the ``Cell | All Output | Clear`` menu option to 
+     remove all output from a notebook prior to committing it to version 
+     control, if this is a concern.
+
+The notebook server can also generate a pure Python version of your notebook, 
+using the ``File | Download as`` menu option. The resulting ``.py`` file will 
+contain all the code cells from your notebook verbatim, and all Markdown cells 
+prepended with a comment marker.  The separation between code and Markdown
+cells is indicated with special comments and there is a header indicating the
+format version.  All output is removed when exporting to Python.
+
+As an example, consider a simple notebook called ``simple.ipynb`` which 
+contains one Markdown cell, with the content ``The simplest notebook.``, one 
+code input cell with the content ``print "Hello, IPython!"``, and the 
+corresponding output.
+
+The contents of the notebook document ``simple.ipynb`` is the following JSON 
+container::
+
+  {
+   "metadata": {
+    "name": "simple"
+   },
+   "nbformat": 3,
+   "nbformat_minor": 0,
+   "worksheets": [
+    {
+     "cells": [
+      {
+       "cell_type": "markdown",
+       "metadata": {},
+       "source": "The simplest notebook."
+      },
+      {
+       "cell_type": "code",
+       "collapsed": false,
+       "input": "print \"Hello, IPython\"",
+       "language": "python",
+       "metadata": {},
+       "outputs": [
+        {
+         "output_type": "stream",
+         "stream": "stdout",
+         "text": "Hello, IPython\n"
+        }
+       ],
+       "prompt_number": 1
+      }
+     ],
+     "metadata": {}
+    }
+   ]
+  }
+
+
+The corresponding Python script is::
+
+  # -*- coding: utf-8 -*-
+  # <nbformat>3.0</nbformat>
+
+  # <markdowncell>
+
+  # The simplest notebook.
+
+  # <codecell>
+
+  print "Hello, IPython"
+
+Note that indeed the output of the code cell, which is present in the JSON 
+container, has been removed in the ``.py`` script.
+

docs/source/interactive/notebook.txt

@@ -0,0 +1,564 b''
+.. _htmlnotebook:
+
+The IPython Notebook
+====================
+
+The IPython Notebook is part of the IPython package, which aims to provide a 
+powerful, interactive approach to scientific computation.
+The IPython Notebook extends the previous text-console-based approach, and the 
+later Qt console, in a qualitatively new diretion, providing a web-based
+application suitable for capturing the whole scientific computation process.
+
+.. seealso::
+
+    :ref:`Installation requirements <installnotebook>` for the Notebook.
+
+
+.. Basic structure
+.. ---------------
+
+Introduction
+------------
+
+The IPython Notebook combines two components:
+
+* **The IPython Notebook web application**:
+
+      The *IPython Notebook web app* is a browser-based tool for interactive 
+      authoring of literate computations, in which explanatory text, 
+      mathematics, computations and rich media output may be combined. Input 
+      and output are stored in persistent cells that may be edited in-place.
+
+* **Notebook documents**:
+
+      *Notebook documents*, or *notebooks*, are plain text documents which 
+      record all inputs and outputs of the computations, interspersed with 
+      text, mathematics and HTML 5 representations of objects, in a literate 
+      style.
+
+Since the similarity in names can lead to some confusion, in this 
+documentation we will  use capitalization of the word "notebook" to 
+distinguish the *N*otebook app and *n*otebook documents, thinking of the 
+Notebook app as being a proper noun. We will also always refer to the 
+"Notebook app" when we are referring to the browser-based interface, 
+and usually to "notebook documents", instead of "notebooks", for added
+precision.
+
+We refer to the current state of the computational process taking place in the 
+Notebook app, i.e. the (numbered) sequence of input and output cells, as the 
+*notebook space*. Notebook documents provide an *exact*, *one-to-one* record 
+of all the content in the notebook space, as a plain text file in JSON format. 
+The Notebook app automatically saves, at certain intervals, the contents of 
+the notebook space to a notebook document stored on disk, with the same name 
+as the title of the notebook space, and the file extension ``.ipynb``. For 
+this reason, there is no confusion about using the same word "notebook" for 
+both the notebook space and the corresonding notebook document, since they are 
+really one and the same concept (we could say that they are "isomorphic").
+
+
+Main features of the IPython Notebook web app
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The main features of the IPython Notebook app include:
+
+* In-browser editing for code, with automatic syntax highlighting and 
+  indentation and tab completion/introspection.
+
+* Literate combination of code with rich text using the Markdown_ markup 
+  language.
+
+* Mathematics is easily included within the Markdown using LaTeX notation, and 
+  rendered natively by MathJax_.
+
+* Displays rich data representations (e.g. HTML / LaTeX / SVG) as the result 
+  of computations.
+
+* Publication-quality figures in a range of formats (SVG / PNG), rendered by 
+  the matplotlib_ library, may be included inline and exported.
+
+
+.. _MathJax: http://www.mathjax.org/
+.. _matplotlib: http://matplotlib.org/
+.. _Markdown: http://daringfireball.net/projects/markdown/syntax
+
+
+Notebook documents
+~~~~~~~~~~~~~~~~~~
+
+Notebook document files are just standard, ASCII-coded text files with the 
+extension ``.ipynb``, stored in the working directory on your computer. 
+Since the contents of the files are just plain text, they can be easily 
+version-controlled and shared with colleagues.
+
+Internally, notebook document files use the JSON_ format, allowing them to 
+store a *complete*, *reproducible*, *one-to-one* copy of the state of the
+computational state as it is inside the Notebook app. All computations
+carried out, and the corresponding results obtained, can be combined in
+a literate way, interleaving executable code with rich text, mathematics, 
+and HTML 5 representations of objects.
+
+.. _JSON: http://en.wikipedia.org/wiki/JSON
+
+Notebooks may easily be exported to a range of static formats, including 
+HTML (for example, for blog posts), PDF and slide shows, via the 
+newly-included `nbconvert script`_ functionality.
+
+Furthermore, any  ``.ipynb`` notebook document with a publicly-available 
+URL can be shared via the `IPython Notebook Viewer`_ service. This service
+ loads the notebook document from the URL  which will 
+provide it as a static web page. The results may thus be shared with a 
+colleague, or as a public blog post, without other users needing to install 
+IPython themselves.
+
+See the :ref:`installation documentation <install_index>` for directions on
+how to install the notebook and its dependencies.
+
+.. _`Ipython Notebook Viewer`: http://nbviewer.ipython.org
+
+.. 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 on port 8888, and later notebook servers search for  
+   ports near that one.  You can also manually specify the port with the 
+   ``--port`` option.
+   
+
+Basic workflow in the IPython Notebook web app
+----------------------------------------------
+
+Starting up
+~~~~~~~~~~~~
+
+You can start running the Notebook web app using the following command::
+
+    $ ipython notebook
+
+(Here, and in the sequel, the initial ``$`` represents the shell prompt, 
+indicating that the command is to be run from the command line in a shell.)
+
+The landing page of the IPython Notebook  application, the *dashboard*, shows 
+the notebooks currently available in the *working directory* (the directory 
+from which the notebook was started).
+You can create new notebooks from the dashboard with the ``New Notebook``
+button, or open existing ones by clicking on their name.
+You can also drag and drop ``.ipynb`` notebooks and standard ``.py`` Python 
+source code files into the notebook list area.
+
+
+You can open an existing notebook directly, without having to go via the 
+dashboard, with:
+
+  ipython notebook my_notebook
+
+The `.ipynb` extension is assumed if no extension is given.
+
+The `File | Open...` menu option will open the dashboard in a new browser tab, 
+to allow you to select a current notebook 
+from the working directory or to create a new notebook
+
+
+
+Notebook user interface
+~~~~~~~~~~~~~~~~~~~~~~~
+
+When you open a new notebook document in the Notebook, you will be presented 
+with the title associated to the notebook space/document, a *menu bar*, a 
+*toolbar* and an empty *input cell*.
+
+Notebook title
+^^^^^^^^^^^^^^
+The title of the notebook document that is currently being edited is displayed 
+at the top of the page, next to the ``IP[y]: Notebook`` logo. This title may 
+be edited directly by clicking on it. The title is reflected in the name of 
+the ``.ipynb`` notebook document file that is saved.
+
+Menu bar
+^^^^^^^^
+The menu bar presents different options that may be used to manipulate the way 
+the Notebook functions.
+
+Toolbar
+^^^^^^^
+The tool bar gives a quick way of accessing the most-used operations within 
+the Notebook, by clicking on an icon.
+
+
+Creating a new notebook document
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+A new notebook space/document may be created at any time, either from the 
+dashboard, or using the `File | New` menu option from within an active 
+notebook. The new notebook is created within the same working directory and 
+will open in a new browser tab. It will also be reflected as a new entry in 
+the notebook list on the dashboard.
+
+
+Structure of a notebook document
+--------------------------------
+
+Input cells
+~~~~~~~~~~~
+Input cells are at the core of the functionality of the IPython Notebook.
+They are regions in the document in which you can enter different types of 
+text and commands. To *execute* or *run* the *current cell*, i.e. the cell 
+under the cursor, you can use the :kbd:`Shift-Enter` key combination. 
+This tells the Notebook app to perform the relevant operation for each type of 
+cell (see below), and then to display the resulting output.
+
+The notebook consists of a sequence of input cells, labelled ``In[n]``, which 
+may be executed in a non-linear way, and outputs ``Out[n]``, where ``n`` is a 
+number which denotes the order in which the cells were executed over the 
+history of the computational process. The contents of all of these cells are 
+accessible as Python variables with the same names, forming a complete record 
+of the history of the computation.
+
+
+
+Input cell types
+~~~~~~~~~~~~~~~~
+Each IPython input cell has a *cell type*, of which there is a restricted 
+number. The type of a cell may be set by using the cell type dropdown on the 
+toolbar, or via the following keyboard shortcuts:
+
+* **code**: :kbd:`Ctrl-m y`
+* **markdown**: :kbd:`Ctrl-m m`
+* **raw**: :kbd:`Ctrl-m t`
+* **heading**: :kbd:`Ctrl-m 1` - :kbd:`Ctrl-m 6`
+
+Upon initial creation, each input cell is by default a code cell.
+
+
+Code cells
+^^^^^^^^^^
+A *code input cell* allows you to edit code inline within the cell, with full 
+syntax highlighting and autocompletion/introspection. By default, the language 
+associated to a code cell is Python, but other languages, such as ``julia`` 
+and ``R``, can be handled using magic commands (see below).
+
+When a code cell is executed with :kbd:`Shift-Enter`, the code that it 
+contains is transparently exported and run in that language (with automatic 
+compiling, etc., if necessary). The result that is returned from this 
+computation  is then displayed in the notebook space as the cell's 
+*output*. If this output is of a textual nature, it is placed into a 
+numbered *output cell*. However, many other possible forms of output are also 
+possible, including ``matplotlib`` figures and HTML tables (as used, for 
+example, in the ``pandas`` data analyis package). This is known as IPython's 
+*rich display* capability.
+
+
+Markdown cells
+^^^^^^^^^^^^^^
+You can document the computational process in a literate way, alternating 
+descriptive text with code, using *rich text*. In IPython this is accomplished 
+by marking up text with the Markdown language. The corresponding cells are 
+called *Markdown input cells*. The Markdown language provides a simple way to 
+perform this text markup, that is, to specify which parts of the text should 
+be emphasized (italics), bold, form lists, etc. 
+
+
+When a Markdown input cell is executed, the Markdown code is converted into 
+the corresponding formatted rich text. This output then *replaces* the 
+original Markdown input cell, leaving just the visually-significant marked up 
+rich text.  Markdown allows arbitrary HTML code for formatting.
+
+Within Markdown cells, you can also include *mathematics* in a straightforward 
+way, using standard LaTeX notation: ``$...$`` for inline mathematics and 
+``$$...$$`` for displayed mathematics. When the Markdown cell is executed, 
+the LaTeX portions are automatically rendered in the HTML output as equations 
+with high quality typography. This is made possible by MathJax_, which 
+supports a `large subset`_ of LaTeX functionality 
+
+.. _`large subset`: http://docs.mathjax.org/en/latest/tex.html
+
+Standard mathematics environments defined by LaTeX and AMS-LaTeX (the 
+`amsmath` package) also work, such as 
+``\begin{equation}...\end{equation}``, and ``\begin{align}...\end{align}``.
+New LaTeX macros may be defined using standard methods, 
+such as ``\newcommand``, by placing them anywhere *between math delimiters* in 
+a Markdown cell. These definitions are then available throughout the rest of 
+the IPython session. (Note, however, that more care must be taken when using 
+the `nbconvert script`_ to output to LaTeX).
+
+Raw input cells
+~~~~~~~~~~~~~~~
+*Raw* input cells provide a place in which you can put additional information 
+which you do not want to evaluated by the Notebook. This can be used, for 
+example, to include extra information that is needed when exporting to a 
+certain format. The output after evaluating a raw cell is just a verbatim copy 
+of the input.
+
+Heading cells
+~~~~~~~~~~~~~
+You can provide a conceptual structure for your computational document as a 
+whole using different levels of headings; there are 6 levels available, from 
+level 1 (top level) down to level 6 (paragraph). These can be used later for 
+constructing tables of contents, etc.
+
+As with Markdown cells, a heading input cell is replaced by a rich text 
+rendering of the heading when the cell is executed.
+
+
+Basic workflow
+--------------
+The normal workflow in a notebook is, then, quite similar to a standard 
+IPython session, with the difference that you can edit cells in-place multiple 
+times until you obtain the desired results, rather than having to 
+rerun separate scripts with the ``%run`` magic command. (Magic commands do, 
+however, also work in the notebook; see below).   
+
+Typically, you will work on a computational problem in pieces, organizing 
+related ideas into cells and moving forward once previous parts work 
+correctly. This is much more convenient for interactive exploration than 
+breaking up a computation into scripts that must be executed together, as was 
+previously necessary, especially if parts of them take a long time to run
+
+The only significant limitation that the Notebook currently has, compared to 
+the Qt console, is that it cannot 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* currently work in the notebook!  
+
+This limitation will be overcome in the future, but in the meantime, there is 
+a simple solution for debugging: you can attach a Qt console to your existing 
+notebook kernel, and run ``%debug`` from the Qt console.
+If your notebook is running on a local computer (i.e. if you are accessing it 
+via your localhost address at ``127.0.0.1``), then you can just type 
+``%qtconsole`` in the notebook and a Qt console will open up, connected to 
+that same kernel.
+
+At certain moments, it may be necessary to interrupt a calculation which is 
+taking too long to complete. This may be done with the ``Kernel | Interrupt`` 
+menu option, or the :kbd:``Ctrl-i`` keyboard shortcut.
+Similarly, it may be necessary or desirable to restart the whole computational 
+process, with the ``Kernel | Restart`` menu option or :kbd:``Ctrl-.`` 
+shortcut. This gives an equivalent state to loading the notebook document 
+afresh.
+
+    
+.. warning::
+
+   While in simple cases you can "roundtrip" a notebook to Python, edit the
+   Python file, and then import it back without loss of main content, this is 
+   in general *not guaranteed to work*.  First, there is extra metadata
+   saved in the notebook that may not be saved to the ``.py`` format.  And 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 shortcuts
+~~~~~~~~~~~~~~~~~~
+All actions in the notebook can be achieved with the mouse, but keyboard 
+shortcuts are also available for the most common ones, so that productive use 
+of the notebook can be achieved with minimal mouse usage. The main shortcuts 
+to remember are the following:
+
+* :kbd:`Shift-Enter`: 
+
+    Execute the current cell, show output (if any), and jump to the next cell 
+    below. If :kbd:`Shift-Enter` is invoked on the last input cell, a new code 
+    cell will also be created. Note that in the notebook, typing :kbd:`Enter` 
+    on its own *never* forces execution, but rather just inserts a new line in 
+    the current input cell. In the Notebook it is thus always necessary to use 
+    :kbd:`Shift-Enter` to execute the cell (or use the ``Cell | Run`` menu 
+    item).
+
+* :kbd:`Ctrl-Enter`: 
+    Execute the current cell as if it were in "terminal mode", where any 
+    output is shown, but the cursor *remains* in the current cell. This is 
+    convenient for doing quick experiments in place, or for querying things 
+    like filesystem content, without needing to create additional cells that 
+    you may not want to be saved in the notebook.
+
+* :kbd:`Alt-Enter`: 
+    Executes the current cell, shows the output, and inserts a *new* input 
+    cell between the current cell and the adjacent cell (if one exists). This  
+    is thus a shortcut for the sequence :kbd:`Shift-Enter`, :kbd:`Ctrl-m a`.
+    (:kbd:`Ctrl-m a` adds a new cell above the current one.)
+  
+* :kbd:`Ctrl-m`: 
+  This is the prefix for *all* other shortcuts, which consist of :kbd:`Ctrl-m` 
+  followed by a single letter or character. For example, if you type 
+  :kbd:`Ctrl-m h` (that is, the sole letter :kbd:`h` after :kbd:`Ctrl-m`), 
+  IPython will show you all the available keyboard shortcuts.
+   
+
+Magic commands
+--------------
+Magic commands, or *magics*, are commands for controlling IPython itself.
+They all begin with ``%`` and are entered into code input cells; the code 
+cells are executed as usual with :kbd:`Shift-Enter`.
+
+The magic commands call special functions defined by IPython which manipulate 
+the computational state in certain ways.
+
+There are two types of magics:
+
+  - **line magics**:
+
+     These begin with a single ``%`` and take as arguments the rest of the 
+     *same line* of the code cell. Any other lines of the code cell are 
+     treated as if they were part of a standard code cell.
+
+  - **cell magics**:
+
+      These begin with ``%%`` and operate on the *entire* remaining contents 
+      of the code cell.
+
+Line magics
+~~~~~~~~~~~
+Some of the available line magics are the following:
+
+  * ``%load filename``:
+
+        Loads the contents of the file ``filename`` into a new code cell. This 
+        can be a URL for a remote file.
+
+  * ``%timeit code``: 
+
+      An easy way to time how long the single line of code ``code`` takes to 
+      run
+
+  * ``%config``:
+
+      Configuration of the IPython Notebook
+
+  * ``%lsmagic``:
+
+      Provides a list of all available magic commands
+
+Cell magics
+~~~~~~~~~~~
+
+  * ``%%latex``:
+
+      Renders the entire contents of the cell in LaTeX, without needing to use 
+      explicit LaTeX delimiters.
+
+  * ``%%bash``:
+
+      The code cell is executed by sending it to be executed by ``bash``. The 
+      output of the ``bash`` commands is captured and displayed in the 
+      notebook.
+
+  * ``%%file filename``:
+
+      Writes the contents of the cell to the file ``filename``.
+      **Caution**: The file is over-written without warning!
+
+  * ``%%R``:
+
+      Execute the contents of the cell using the R language.
+
+  * ``%%timeit``:
+
+      Version of ``%timeit`` which times the entire block of code in the 
+      current code cell.
+
+
+
+Several of the cell magics provide functionality to manipulate the filesystem 
+of a remote server to which you otherwise do not have access.  
+
+
+Plotting
+--------
+One major feature of the Notebook is the ability to interact with 
+plots that are the output of running code cells. IPython is designed to work 
+seamlessly with the ``matplotlib`` plotting library to provide this 
+functionality. 
+
+To set this up, before any plotting is performed you must execute the
+``%matplotlib`` magic command. This performs the necessary behind-the-scenes 
+setup for IPython to work correctly hand in hand with ``matplotlib``; it does 
+*not*, however, actually execute any Python ``import`` commands, that is, no 
+names are added to the namespace.
+
+For more agile *interactive* use of the notebook space, an alternative magic, 
+``%pylab``, is provided. This does the same work as the ``%matplotlib`` magic, 
+but *in addition* it automatically executes a standard sequence of ``import`` 
+statements required to work with the ``%matplotlib`` library, importing the 
+following names into the namespace:
+
+  ``numpy`` as ``np``; ``matplotlib.pyplot`` as ``plt``;
+  ``matplotlib``, ``pylab`` and ``mlab`` from ``matplotlib``; and *all names* 
+  from within ``numpy`` and ``pylab``. 
+
+However, the use of ``%pylab`` is discouraged, since names coming from 
+different packages may collide. In general, the use of ``from package import 
+*`` is discouraged. A better option is then::
+  
+    %pylab --no-import-all
+
+which imports the  names listed above, but does *not* perform this 
+``import *`` imports.
+
+If the ``%matplotlib`` or ``%pylab` magics are called without an argument, the 
+output of a plotting command is displayed using the default ``matplotlib`` 
+backend in a separate window. Alternatively, the backend can be explicitly 
+requested using, for example::
+
+  %matplotlib gtk
+
+A particularly interesting backend is the ``inline`` backend.
+This is applicable only for the IPython Notebook and the IPython Qtconsole. 
+It can be invoked as follows::
+
+  %matplotlib inline
+
+With this backend, output of plotting commands is displayed *inline* within 
+the notebook format, directly below the input cell that produced it. The 
+resulting plots will then also be stored in the notebook document. This 
+provides a key part of the functionality for reproducibility_ that the IPython 
+Notebook provides.
+
+.. _reproducibility: https://en.wikipedia.org/wiki/Reproducibility
+
+
+
+Configuring the IPython Notebook
+--------------------------------
+The IPython Notebook can be run with a variety of command line arguments. 
+To see a list of available options enter::
+
+  $ ipython notebook --help 
+
+Defaults for these options can also be set by creating a file named 
+``ipython_notebook_config.py`` in your IPython *profile folder*. The profile 
+folder is a subfolder of your IPython directory; to find out where it is 
+located, run::
+
+  $ ipython locate
+
+To create a new set of default configuration files, with lots of information 
+on available options, use::
+
+  $ ipython profile create
+
+.. seealso:
+
+    :ref:`config_overview`, in particular :ref:`Profiles`.
+
+
+Importing `.py` files
+----------------------
+
+
+``.py`` files will be imported into the IPython Notebook as a notebook with 
+the same basename, but an ``.ipynb`` extension, located in the working 
+directory. The notebook created will have just one cell, which will contain 
+all the code in the ``.py`` file. You can later manually partition this into 
+individual cells using the ``Edit | Split Cell`` menu option, or the 
+:kbd:`Ctrl-m -` keyboard shortcut.
+
+.. Alternatively, prior to importing the ``.py``, you can manually add ``# <
+nbformat>2</nbformat>`` at the start of the file, and then add separators for 
+text and code cells, to get a cleaner import with the file already broken into 
+individual cells.
+
+
+    
+.. _Markdown: http://daringfireball.net/projects/markdown/basics

docs/source/interactive/working_remotely.txt

@@ -0,0 +1,182 b''
+.. _working_remotely.txt
+
+Working remotely
+================
+
+
+The IPython Notebook web app is based on a server-client structure. 
+This server uses a two-process kernel architecture based on ZeroMQ, as well as 
+Tornado for serving HTTP requests. Other clients may connect to the same 
+underlying IPython kernel; see below.
+
+.. _notebook_security:
+
+Security
+--------
+
+You can protect your Notebook server with a simple single password by
+setting the :attr:`NotebookApp.password` configurable. You can prepare a
+hashed password using the function :func:`IPython.lib.security.passwd`:
+
+.. sourcecode:: ipython
+
+    In [1]: from IPython.lib import passwd
+    In [2]: passwd()
+    Enter password: 
+    Verify password: 
+    Out[2]: 'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed'
+    
+.. note::
+
+  :func:`~IPython.lib.security.passwd` can also take the password as a string
+  argument. **Do not** pass it as an argument inside an IPython session, as it
+  will be saved in your input history.
+
+You can then add this to your :file:`ipython_notebook_config.py`, e.g.::
+
+    # Password to use for web authentication
+    c = get_config()
+    c.NotebookApp.password = 
+    u'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed'
+
+When using a password, it is a good idea to also use SSL, so that your 
+password is not sent unencrypted by your browser. You can start the notebook 
+to communicate via a secure protocol mode using a self-signed certificate with 
+the command::
+
+    $ ipython notebook --certfile=mycert.pem
+
+.. note::
+
+    A self-signed certificate can be generated with ``openssl``.  For example, 
+    the following command will create a certificate valid for 365 days with 
+    both the key and certificate data written to the same file::
+
+        $ openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.
+        pem -out mycert.pem
+
+Your browser will warn you of a dangerous certificate because it is
+self-signed.  If you want to have a fully compliant certificate that will not
+raise warnings, it is possible (but rather involved) to obtain one,
+`as explained in detailed in this tutorial`__.
+
+.. __: http://arstechnica.com/security/news/2009/12/how-to-get-set-with-a-
+secure-sertificate-for-free.ars
+	
+Keep in mind that when you enable SSL support, you will need to access the
+notebook server over ``https://``, not over plain ``http://``.  The startup
+message from the server prints this, but it is easy to overlook and think the
+server is for some reason non-responsive.
+
+
+Connecting to an existing kernel
+---------------------------------
+
+The notebook server always prints to the terminal the full details of 
+how to connect to each kernel, with messages such as the following::
+
+    [IPKernelApp] To connect another client to this kernel, use:
+    [IPKernelApp] --existing kernel-3bb93edd-6b5a-455c-99c8-3b658f45dde5.json
+
+This long string is the name of a JSON file that contains all the port and 
+validation information necessary to connect to the kernel.  You can then, for 
+example, manually start a Qt console connected to the *same* kernel with::
+
+    $ ipython qtconsole --existing 
+    kernel-3bb93edd-6b5a-455c-99c8-3b658f45dde5.json
+
+If you have only a single kernel running, simply typing::
+
+    $ ipython qtconsole --existing
+
+will automatically find it. (It will always find the most recently 
+started kernel if there is more than one.)  You can also request this 
+connection data by typing ``%connect_info``; this will print the same 
+file information as well as the content of the JSON data structure it 
+contains.
+
+
+Running a public notebook server
+--------------------------------
+
+If you want to access your notebook server remotely via a web browser,
+you can do the following.  
+
+Start by creating a certificate file and a hashed password, as explained 
+above.  Then create a custom profile for the notebook, with the following 
+command line, type::
+
+  $ ipython profile create nbserver
+
+In the profile directory just created, edit the file 
+``ipython_notebook_config.py``.  By default, the file has all fields 
+commented; the minimum set you need to uncomment and edit is the following::
+
+     c = get_config()
+
+     # Kernel config
+     c.IPKernelApp.pylab = 'inline'  # if you want plotting support always
+
+     # Notebook config
+     c.NotebookApp.certfile = u'/absolute/path/to/your/certificate/mycert.pem'
+     c.NotebookApp.ip = '*'
+     c.NotebookApp.open_browser = False
+     c.NotebookApp.password = u'sha1:bcd259ccf...[your hashed password here]'
+     # It is a good idea to put it on a known, fixed port
+     c.NotebookApp.port = 9999
+
+You can then start the notebook and access it later by pointing your browser 
+to ``https://your.host.com:9999`` with ``ipython notebook 
+--profile=nbserver``.
+
+Running with a different URL prefix
+-----------------------------------
+
+The notebook dashboard (the landing page with an overview
+of the notebooks in your working directory) typically lives at the URL
+``http://localhost:8888/``. If you prefer that it lives, together with the 
+rest of the notebook, under a sub-directory,
+e.g. ``http://localhost:8888/ipython/``, you can do so with
+configuration options like the following (see above for instructions about
+modifying ``ipython_notebook_config.py``)::
+
+    c.NotebookApp.base_project_url = '/ipython/'
+    c.NotebookApp.base_kernel_url = '/ipython/'
+    c.NotebookApp.webapp_settings = {'static_url_prefix':'/ipython/static/'}
+
+Using a different notebook store
+--------------------------------
+
+By default, the Notebook app stores the notebook documents that it saves as 
+files in the working directory of the Notebook app, also known as the 
+``notebook_dir``. This  logic is implemented in the 
+:class:`FileNotebookManager` class. However, the server can be configured to 
+use a different notebook manager class, which can 
+store the notebooks in a different format. 
+
+Currently, we ship a :class:`AzureNotebookManager` class that stores notebooks 
+in Azure blob storage. This can be used by adding the following lines to your 
+``ipython_notebook_config.py`` file::
+
+    c.NotebookApp.notebook_manager_class = 
+    'IPython.html.services.notebooks.azurenbmanager.AzureNotebookManager'
+    c.AzureNotebookManager.account_name = u'paste_your_account_name_here'
+    c.AzureNotebookManager.account_key = u'paste_your_account_key_here'
+    c.AzureNotebookManager.container = u'notebooks'
+
+In addition to providing your Azure Blob Storage account name and key, you 
+will have to provide a container name; you can use multiple containers to 
+organize your notebooks.
+
+
+Known issues
+------------
+
+When behind a proxy, especially if your system or browser is set to autodetect
+the proxy, the Notebook app might fail to connect to the server's websockets,
+and present you with a warning at startup. In this case, you need to configure
+your system not to use the proxy for the server's address.
+
+For example, in Firefox, go to the Preferences panel, Advanced section,
+Network tab, click 'Settings...', and add the address of the notebook server
+to the 'No proxy for' field.

docs/source/interactive/index.rst

@@ -1,15 +1,17 b''
 ==================================
 Using IPython for interactive work
 ==================================
 
 .. toctree::
    :maxdepth: 2
 
    tutorial
    tips
    reference
    shell
    qtconsole
-   htmlnotebook
+   notebook
+   converting_notebooks
+   working_remotely