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1 1 .. _htmlnotebook:
2 2
3 3 =========================
4 4 An HTML Notebook IPython
5 5 =========================
6 6
7 7 .. seealso::
8 8
9 9 :ref:`Installation requirements <installnotebook>` for the Notebook.
10 10
11 11 The IPython Notebook consists of two related components:
12 12
13 13 * An JSON based Notebook document format for recording and distributing
14 14 Python code and rich text.
15 15 * A web-based user interface for authoring and running notebook documents.
16 16
17 17 The Notebook can be used by starting the Notebook server with the
18 18 command::
19 19
20 20 $ ipython notebook
21 21
22 22 Note that by default, the notebook doesn't load pylab, it's just a normal
23 23 IPython session like any other. If you want pylab support, you must use::
24 24
25 25 $ ipython notebook --pylab
26 26
27 27 which will behave similar to the terminal and Qt console versions, using your
28 28 default matplotlib backend and providing floating interactive plot windows. If
29 29 you want inline figures, you must manually select the ``inline`` backend::
30 30
31 31 $ ipython notebook --pylab=inline
32 32
33 You can start the notebook to communicate via a secure protocol mode using a
34 self-signed certificate by typing::
35
36 $ ipython notebook --certfile=mycert.pem
37
38 .. note::
39
40 A self-signed certificate can be generated with openssl. For example:
41
42 openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
43
44 33 This server uses the same ZeroMQ-based two process kernel architecture as
45 34 the QT Console as well Tornado for serving HTTP/S requests. Some of the main
46 35 features of the Notebook include:
47 36
48 37 * Display rich data (png/html/latex/svg) in the browser as a result of
49 38 computations.
50 39 * Compose text cells using HTML and Markdown.
51 40 * Import and export notebook documents in range of formats (.ipynb, .py).
52 41 * In browser syntax highlighting, tab completion and autoindentation.
53 42 * Inline matplotlib plots that can be stored in Notebook documents and opened
54 43 later.
55 44
56 45 See :ref:`our installation documentation <install_index>` for directions on
57 46 how to install the notebook and its dependencies.
58 47
59 48 .. note::
60 49
61 50 You can start more than one notebook server at the same time, if you want to
62 51 work on notebooks in different directories. By default the first notebook
63 52 server starts in port 8888, later notebooks search for random ports near
64 53 that one. You can also manually specify the port with the ``--port``
65 54 option.
66 55
67 56
68 57 Basic Usage
69 58 ===========
70 59
71 60 The landing page of the notebook server application, which we call the IPython
72 61 Notebook *dashboard*, shows the notebooks currently available in the directory
73 62 in which the application was started, and allows you to create new notebooks.
74 63
75 64 A notebook is a combination of two things:
76 65
77 66 1. An interactive session connected to an IPython kernel, controlled by a web
78 67 application that can send input to the console and display many types of output
79 68 (text, graphics, mathematics and more). This is the same kernel used by the
80 69 :ref:`Qt console <qtconsole>`, but in this case the web console sends input in
81 70 persistent cells that you can edit in-place instead of the vertically scrolling
82 71 terminal style used by the Qt console.
83 72
84 73 2. A document that can save the inputs and outputs of the session as well as
85 74 additional text that accompanies the code but is not meant for execution. In
86 75 this way, notebook files serve as a complete computational record of a session
87 76 including explanatory text and mathematics, code and resulting figures. These
88 77 documents are internally JSON files and are saved with the ``.ipynb``
89 78 extension.
90 79
91 80 If you have ever used the Mathematica or Sage notebooks (the latter is also
92 81 web-based__) you should feel right at home. If you have not, you should be
93 82 able to learn how to use it in just a few minutes.
94 83
95 84 .. __: http://sagenb.org
96 85
97 86
98 87 Creating and editing notebooks
99 88 ------------------------------
100 89
101 90 You can create new notebooks from the dashboard with the ``New Notebook``
102 91 button or open existing ones by clicking on their name. Once in a notebook,
103 92 your browser tab will reflect the name of that notebook (prefixed with "IPy:").
104 93 The URL for that notebook is not meant to be human-readable and is *not*
105 94 persistent across invocations of the notebook server.
106 95
107 96 You can also drag and drop into the area listing files any python file: it
108 97 will be imported into a notebook with the same name (but ``.ipynb`` extension)
109 98 located in the directory where the notebook server was started. This notebook
110 99 will consist of a single cell with all the code in the file, which you can
111 100 later manually partition into individual cells for gradual execution, add text
112 101 and graphics, etc.
113 102
114 103 Workflow and limitations
115 104 ------------------------
116 105
117 106 The normal workflow in a notebook is quite similar to a normal IPython session,
118 107 with the difference that you can edit a cell in-place multiple times until you
119 108 obtain the desired results rather than having to rerun separate scripts with
120 109 the ``%run`` magic (though magics also work in the notebook). Typically
121 110 you'll work on a problem in pieces, organizing related pieces into cells and
122 111 moving forward as previous parts work correctly. This is much more convenient
123 112 for interactive exploration than breaking up a computation into scripts that
124 113 must be executed together, especially if parts of them take a long time to run
125 114 (In the traditional terminal-based IPython, you can use tricks with namespaces
126 115 and ``%run -i`` to achieve this capability, but we think the notebook is a more
127 116 natural solution for that kind of problem).
128 117
129 118 The only significant limitation the notebook currently has, compared to the qt
130 119 console, is that it can not run any code that expects input from the kernel
131 120 (such as scripts that call :func:`raw_input`). Very importantly, this means
132 121 that the ``%debug`` magic does *not* work in the notebook! We intend to
133 122 correct this limitation, but in the meantime, there is a way to debug problems
134 123 in the notebook: you can attach a Qt console to your existing notebook kernel,
135 124 and run ``%debug`` from the Qt console. If your notebook is running on a local
136 125 computer (i.e. if you are accessing it via your localhost address at
137 126 127.0.0.1), you can just type ``%qtconsole`` in the notebook and a Qt console
138 127 will open up connected to that same kernel.
139 128
140 129 In general, the notebook server prints the full details of how to connect to
141 130 each kernel at the terminal, with lines like:
142 131
143 132 [IPKernelApp] To connect another client to this kernel, use:
144 133 [IPKernelApp] --existing kernel-3bb93edd-6b5a-455c-99c8-3b658f45dde5.json
145 134
146 135 This is the name of a JSON file that contains all the port and validation
147 136 information necessary to connect to the kernel. You can manually start a
148 137 qt console with::
149 138
150 139 ipython qtconsole --existing kernel-3bb93edd-6b5a-455c-99c8-3b658f45dde5.json
151 140
152 141 and if you only have a single kernel running, simply typing::
153 142
154 143 ipython qtconsole --existing
155 144
156 145 will automatically find it (it will always find the most recently started
157 146 kernel if there is more than one). You can also request this connection data
158 147 by typing ``%connect_info``; this will print the same file information as well
159 148 as the content of the JSON data structure it contains.
160 149
161 150
162 151 Text input
163 152 ----------
164 153
165 154 In addition to code cells and the output they produce (such as figures), you
166 155 can also type text not meant for execution. To type text, change the type of a
167 156 cell from ``Code`` to ``Markdown`` by using the button or the :kbd:`Ctrl-m m`
168 157 keybinding (see below). You can then type any text in Markdown_ syntax, as
169 158 well as mathematical expressions if you use ``$...$`` for inline math or
170 159 ``$$...$$`` for displayed math.
171 160
172 161 Exporting a notebook
173 162 --------------------
174 163
175 164 If you want to provide others with a static HTML or PDF view of your notebook,
176 165 use the ``Print`` button. This opens a static view of the document, which you
177 166 can print to PDF using your operating system's facilities, or save to a file
178 167 with your web browser's 'Save' option (note that typically, this will create
179 168 both an html file *and* a directory called `notebook_name_files` next to it
180 169 that contains all the necessary style information, so if you intend to share
181 170 this, you must send the directory along with the main html file).
182 171
183 172 The `Download` button lets you save a notebook file to the Download area
184 173 configured by your web browser (particularly useful if you are running the
185 174 notebook server on a remote host and need a file locally). The notebook is
186 175 saved by default with the ``.ipynb`` extension and the files contain JSON data
187 176 that is not meant for human editing or consumption. But you can always export
188 177 the input part of a notebook to a plain python script by choosing Python format
189 178 in the `Download` drop list. This removes all output and saves the text cells
190 179 in comment areas.
191 180
192 181 .. warning::
193 182
194 183 While in simple cases you can roundtrip a notebook to Python, edit the
195 184 python file and import it back without loss, this is in general *not
196 185 guaranteed to work at all*. As the notebook format evolves in complexity,
197 186 there will be attributes of the notebook that will not survive a roundtrip
198 187 through the Python form. You should think of the Python format as a way to
199 188 output a script version of a notebook and the import capabilities as a way
200 189 to load existing code to get a notebook started. But the Python version is
201 190 *not* an alternate notebook format.
202 191
203 192
204 193 Keyboard use
205 194 ------------
206 195
207 196 All actions in the notebook can be achieved with the mouse, but we have also
208 197 added keyboard shortcuts for the most common ones, so that productive use of
209 198 the notebook can be achieved with minimal mouse intervention. The main
210 199 key bindings you need to remember are:
211 200
212 201 * :kbd:`Shift-Enter`: execute the current cell (similar to the Qt console),
213 202 show output (if any) and create a new cell below. Note that in the notebook,
214 203 simply using :kbd:`Enter` *never* forces execution, it simply inserts a new
215 204 line in the current cell. Therefore, in the notebook you must always use
216 205 :kbd:`Shift-Enter` to get execution (or use the mouse and click on the ``Run
217 206 Selected`` button).
218 207
219 208 * :kbd:`Ctrl-Enter`: execute the current cell in "terminal mode", where any
220 209 output is shown but the cursor stays in the current cell, whose input
221 210 area is flushed empty. This is convenient to do quick in-place experiments
222 211 or query things like filesystem content without creating additional cells you
223 212 may not want saved in your notebook.
224 213
225 214 * :kbd:`Ctrl-m`: this is the prefix for all other keybindings, which consist
226 215 of an additional single letter. Type :kbd:`Ctrl-m h` (that is, the sole
227 216 letter :kbd:`h` after :kbd:`Ctrl-m`) and IPython will show you the remaining
228 217 available keybindings.
229 218
219 Security
220 ========
221
222 You can protect your notebook server with a *very* simple single-password by
223 setting the :attr:`NotebookApp.password` configurable. It is best to do this in
224 your :file:`ipython_notebook_config.py`, e.g.::
225
226 # Password to use for web authentication
227 c.NotebookApp.password = u'super secret'
228
229 because specifying it on the command-line will make it visible to other
230 processes on your machine with access to :command:`ps`.
231
232 When using a password, it is a good idea to also use SSL, so that your password
233 is not sent in the clear. You can start the notebook to communicate via a secure
234 protocol mode using a self-signed certificate by typing::
235
236 $ ipython notebook --certfile=mycert.pem
237
238 .. note::
239
240 A self-signed certificate can be generated with openssl. For example::
241
242 $ openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
243
230 244
231 245 Notebook document format
232 246 ========================
233 247
234 248
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