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Document notebook format and quick howto for a public nb server....
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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 $ ipython notebook --pylab=inline
31 $ ipython notebook --pylab inline
32 32
33 33 This server uses the same ZeroMQ-based two process kernel architecture as
34 34 the QT Console as well Tornado for serving HTTP/S requests. Some of the main
35 35 features of the Notebook include:
36 36
37 37 * Display rich data (png/html/latex/svg) in the browser as a result of
38 38 computations.
39 39 * Compose text cells using HTML and Markdown.
40 40 * Import and export notebook documents in range of formats (.ipynb, .py).
41 41 * In browser syntax highlighting, tab completion and autoindentation.
42 42 * Inline matplotlib plots that can be stored in Notebook documents and opened
43 43 later.
44 44
45 45 See :ref:`our installation documentation <install_index>` for directions on
46 46 how to install the notebook and its dependencies.
47 47
48 48 .. note::
49 49
50 50 You can start more than one notebook server at the same time, if you want to
51 51 work on notebooks in different directories. By default the first notebook
52 52 server starts in port 8888, later notebooks search for random ports near
53 53 that one. You can also manually specify the port with the ``--port``
54 54 option.
55 55
56 56
57 57 Basic Usage
58 58 ===========
59 59
60 60 The landing page of the notebook server application, which we call the IPython
61 61 Notebook *dashboard*, shows the notebooks currently available in the directory
62 62 in which the application was started, and allows you to create new notebooks.
63 63
64 64 A notebook is a combination of two things:
65 65
66 66 1. An interactive session connected to an IPython kernel, controlled by a web
67 application that can send input to the console and display many types of output
68 (text, graphics, mathematics and more). This is the same kernel used by the
69 :ref:`Qt console <qtconsole>`, but in this case the web console sends input in
70 persistent cells that you can edit in-place instead of the vertically scrolling
71 terminal style used by the Qt console.
67 application that can send input to the console and display many types of
68 output (text, graphics, mathematics and more). This is the same kernel used
69 by the :ref:`Qt console <qtconsole>`, but in this case the web console sends
70 input in persistent cells that you can edit in-place instead of the
71 vertically scrolling terminal style used by the Qt console.
72 72
73 73 2. A document that can save the inputs and outputs of the session as well as
74 additional text that accompanies the code but is not meant for execution. In
75 this way, notebook files serve as a complete computational record of a session
76 including explanatory text and mathematics, code and resulting figures. These
77 documents are internally JSON files and are saved with the ``.ipynb``
78 extension.
74 additional text that accompanies the code but is not meant for execution.
75 In this way, notebook files serve as a complete computational record of a
76 session including explanatory text and mathematics, code and resulting
77 figures. These documents are internally JSON files and are saved with the
78 ``.ipynb`` extension.
79 79
80 80 If you have ever used the Mathematica or Sage notebooks (the latter is also
81 81 web-based__) you should feel right at home. If you have not, you should be
82 82 able to learn how to use it in just a few minutes.
83 83
84 84 .. __: http://sagenb.org
85 85
86 86
87 87 Creating and editing notebooks
88 88 ------------------------------
89 89
90 90 You can create new notebooks from the dashboard with the ``New Notebook``
91 91 button or open existing ones by clicking on their name. Once in a notebook,
92 92 your browser tab will reflect the name of that notebook (prefixed with "IPy:").
93 93 The URL for that notebook is not meant to be human-readable and is *not*
94 94 persistent across invocations of the notebook server.
95 95
96 96 You can also drag and drop into the area listing files any python file: it
97 97 will be imported into a notebook with the same name (but ``.ipynb`` extension)
98 98 located in the directory where the notebook server was started. This notebook
99 99 will consist of a single cell with all the code in the file, which you can
100 100 later manually partition into individual cells for gradual execution, add text
101 101 and graphics, etc.
102 102
103
103 104 Workflow and limitations
104 105 ------------------------
105 106
106 107 The normal workflow in a notebook is quite similar to a normal IPython session,
107 108 with the difference that you can edit a cell in-place multiple times until you
108 109 obtain the desired results rather than having to rerun separate scripts with
109 110 the ``%run`` magic (though magics also work in the notebook). Typically
110 111 you'll work on a problem in pieces, organizing related pieces into cells and
111 112 moving forward as previous parts work correctly. This is much more convenient
112 113 for interactive exploration than breaking up a computation into scripts that
113 114 must be executed together, especially if parts of them take a long time to run
114 115 (In the traditional terminal-based IPython, you can use tricks with namespaces
115 116 and ``%run -i`` to achieve this capability, but we think the notebook is a more
116 117 natural solution for that kind of problem).
117 118
118 119 The only significant limitation the notebook currently has, compared to the qt
119 120 console, is that it can not run any code that expects input from the kernel
120 121 (such as scripts that call :func:`raw_input`). Very importantly, this means
121 122 that the ``%debug`` magic does *not* work in the notebook! We intend to
122 123 correct this limitation, but in the meantime, there is a way to debug problems
123 124 in the notebook: you can attach a Qt console to your existing notebook kernel,
124 125 and run ``%debug`` from the Qt console. If your notebook is running on a local
125 126 computer (i.e. if you are accessing it via your localhost address at
126 127 127.0.0.1), you can just type ``%qtconsole`` in the notebook and a Qt console
127 128 will open up connected to that same kernel.
128 129
129 130 In general, the notebook server prints the full details of how to connect to
130 131 each kernel at the terminal, with lines like::
131 132
132 133 [IPKernelApp] To connect another client to this kernel, use:
133 134 [IPKernelApp] --existing kernel-3bb93edd-6b5a-455c-99c8-3b658f45dde5.json
134 135
135 136 This is the name of a JSON file that contains all the port and validation
136 137 information necessary to connect to the kernel. You can manually start a
137 138 qt console with::
138 139
139 140 ipython qtconsole --existing kernel-3bb93edd-6b5a-455c-99c8-3b658f45dde5.json
140 141
141 142 and if you only have a single kernel running, simply typing::
142 143
143 144 ipython qtconsole --existing
144 145
145 146 will automatically find it (it will always find the most recently started
146 147 kernel if there is more than one). You can also request this connection data
147 148 by typing ``%connect_info``; this will print the same file information as well
148 149 as the content of the JSON data structure it contains.
149 150
150 151
151 152 Text input
152 153 ----------
153 154
154 155 In addition to code cells and the output they produce (such as figures), you
155 156 can also type text not meant for execution. To type text, change the type of a
156 157 cell from ``Code`` to ``Markdown`` by using the button or the :kbd:`Ctrl-m m`
157 158 keybinding (see below). You can then type any text in Markdown_ syntax, as
158 159 well as mathematical expressions if you use ``$...$`` for inline math or
159 160 ``$$...$$`` for displayed math.
160 161
161 Exporting a notebook
162 --------------------
162
163 Exporting a notebook and importing existing scripts
164 ---------------------------------------------------
163 165
164 166 If you want to provide others with a static HTML or PDF view of your notebook,
165 167 use the ``Print`` button. This opens a static view of the document, which you
166 168 can print to PDF using your operating system's facilities, or save to a file
167 169 with your web browser's 'Save' option (note that typically, this will create
168 170 both an html file *and* a directory called `notebook_name_files` next to it
169 171 that contains all the necessary style information, so if you intend to share
170 172 this, you must send the directory along with the main html file).
171 173
172 174 The `Download` button lets you save a notebook file to the Download area
173 175 configured by your web browser (particularly useful if you are running the
174 176 notebook server on a remote host and need a file locally). The notebook is
175 177 saved by default with the ``.ipynb`` extension and the files contain JSON data
176 178 that is not meant for human editing or consumption. But you can always export
177 179 the input part of a notebook to a plain python script by choosing Python format
178 180 in the `Download` drop list. This removes all output and saves the text cells
179 in comment areas.
181 in comment areas. See ref:`below <notebook_format>` for more details on the
182 notebook format.
183
184 The notebook can also *import* ``.py`` files as notebooks, by dragging and
185 dropping the file into the notebook dashboard file list area. By default, the
186 entire contents of the file will be loaded into a single code cell. But if
187 prior to import, you manually add the ``# <nbformat>2</nbformat>`` marker at
188 the start and then add separators for text/code cells, you can get a cleaner
189 import with the file broken into individual cells.
180 190
181 191 .. warning::
182 192
183 193 While in simple cases you can roundtrip a notebook to Python, edit the
184 python file and import it back without loss, this is in general *not
185 guaranteed to work at all*. As the notebook format evolves in complexity,
186 there will be attributes of the notebook that will not survive a roundtrip
187 through the Python form. You should think of the Python format as a way to
188 output a script version of a notebook and the import capabilities as a way
189 to load existing code to get a notebook started. But the Python version is
190 *not* an alternate notebook format.
194 python file and import it back without loss of main content, this is in
195 general *not guaranteed to work at all*. First, there is extra metadata
196 saved in the notebook that may not be saved to the ``.py`` format. And as
197 the notebook format evolves in complexity, there will be attributes of the
198 notebook that will not survive a roundtrip through the Python form. You
199 should think of the Python format as a way to output a script version of a
200 notebook and the import capabilities as a way to load existing code to get a
201 notebook started. But the Python version is *not* an alternate notebook
202 format.
191 203
192 204
193 205 Keyboard use
194 206 ------------
195 207
196 208 All actions in the notebook can be achieved with the mouse, but we have also
197 209 added keyboard shortcuts for the most common ones, so that productive use of
198 210 the notebook can be achieved with minimal mouse intervention. The main
199 211 key bindings you need to remember are:
200 212
201 213 * :kbd:`Shift-Enter`: execute the current cell (similar to the Qt console),
202 214 show output (if any) and create a new cell below. Note that in the notebook,
203 215 simply using :kbd:`Enter` *never* forces execution, it simply inserts a new
204 216 line in the current cell. Therefore, in the notebook you must always use
205 217 :kbd:`Shift-Enter` to get execution (or use the mouse and click on the ``Run
206 218 Selected`` button).
207 219
208 220 * :kbd:`Ctrl-Enter`: execute the current cell in "terminal mode", where any
209 221 output is shown but the cursor stays in the current cell, whose input
210 222 area is flushed empty. This is convenient to do quick in-place experiments
211 223 or query things like filesystem content without creating additional cells you
212 224 may not want saved in your notebook.
213 225
214 226 * :kbd:`Ctrl-m`: this is the prefix for all other keybindings, which consist
215 227 of an additional single letter. Type :kbd:`Ctrl-m h` (that is, the sole
216 228 letter :kbd:`h` after :kbd:`Ctrl-m`) and IPython will show you the remaining
217 229 available keybindings.
218 230
231
232 .. _notebook_security:
233
219 234 Security
220 235 ========
221 236
222 237 You can protect your notebook server with a simple single-password by
223 238 setting the :attr:`NotebookApp.password` configurable. You can prepare a
224 239 hashed password using the function :func:`IPython.lib.security.passwd`:
225 240
226 241 .. sourcecode:: ipython
227 242
228 243 In [1]: from IPython.lib import passwd
229 244 In [2]: passwd()
230 245 Enter password:
231 246 Verify password:
232 247 Out[2]: 'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed'
233 248
234 249 .. note::
235 250
236 251 :func:`~IPython.lib.security.passwd` can also take the password as a string
237 252 argument. **Do not** pass it as an argument inside an IPython session, as it
238 253 will be saved in your input history.
239 254
240 255 You can then add this to your :file:`ipython_notebook_config.py`, e.g.::
241 256
242 257 # Password to use for web authentication
243 258 c.NotebookApp.password = u'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed'
244 259
245 260 When using a password, it is a good idea to also use SSL, so that your password
246 is not sent in the clear. You can start the notebook to communicate via a secure
247 protocol mode using a self-signed certificate by typing::
261 is not sent unencripted by your browser. You can start the notebook to
262 communicate via a secure protocol mode using a self-signed certificate by
263 typing::
248 264
249 265 $ ipython notebook --certfile=mycert.pem
250 266
251 267 .. note::
252 268
253 A self-signed certificate can be generated with openssl. For example::
269 A self-signed certificate can be generated with openssl. For example, the
270 following command will create a certificate valid for 365 days with both
271 the key and certificate data written to the same file::
254 272
255 273 $ openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
256 274
275 Your browser will warn you of a dangerous certificate because it is
276 self-signed. If you want to have a fully compliant certificate that will not
277 raise warnings, it is possible (but rather involved) to obtain one for free,
278 `as explained in detailed in this tutorial`__.
279
280 .. __: http://arstechnica.com/security/news/2009/12/how-to-get-set-with-a-secure-sertificate-for-free.ars
281
282 Keep in mind that when you enable SSL support, you'll need to access the
283 notebook server over ``https://``, not over plain ``http://``. The startup
284 message from the server prints this, but it's easy to overlook and think the
285 server is for some reason non-responsive.
286
287
288 Quick Howto: running a public notebook server
289 =============================================
290
291 If you want to access your notebook server remotely with just a web browser,
292 here is a quick set of instructions. Start by creating a certificate file and
293 a hashed password as explained above. Then, create a custom profile for the
294 notebook. At the command line, type::
295
296 ipython profile create nbserver
297
298 In the profile directory, edit the file ``ipython_notebook_config.py``. By
299 default the file has all fields commented, the minimum set you need to
300 uncomment and edit is here::
301
302 c = get_config()
303
304 # Kernel config
305 c.IPKernelApp.pylab = 'inline' # if you want plotting support always
306
307 # Notebook config
308 c.NotebookApp.certfile = u'/absolute/path/to/your/certificate/mycert.pem'
309 c.NotebookApp.ip = '*'
310 c.NotebookApp.open_browser = False
311 c.NotebookApp.password = u'sha1:bcd259ccf...your hashed password here'
312 # It's a good idea to put it on a known, fixed port
313 c.NotebookApp.port = 9999
314
315 You can then start the notebook and access it later by pointing your browser to
316 ``https://your.host.com:9999``.
317
318 .. _notebook_format:
319
320 The notebook format
321 ===================
322
323 The notebooks themselves are JSON files with an ``ipynb`` extension, formatted
324 as legibly as possible with minimal extra indentation and cell content broken
325 across lines to make them reasonably friendly to use in version-control
326 workflows. You should be very careful if you ever edit manually this JSON
327 data, as it is extremely easy to corrupt its internal structure and make the
328 file impossible to load. In general, you should consider the notebook as a
329 file meant only to be edited by IPython itself, not for hand-editing.
330
331 .. note::
332
333 Binary data such as figures are directly saved in the JSON file. This
334 provides convenient single-file portability but means the files can be
335 large and diffs of binary data aren't very meaningful. Since the binary
336 blobs are encoded in a single line they only affect one line of the diff
337 output, but they are typically very long lines. You can use the
338 'ClearAll' button to remove all output from a notebook prior to
339 committing it to version control, if this is a concern.
340
341 The notebook server can also generate a pure-python version of your notebook,
342 by clicking on the 'Download' button and selecting ``py`` as the format. This
343 file will contain all the code cells from your notebook verbatim, and all text
344 cells prepended with a comment marker. The separation between code and text
345 cells is indicated with special comments and there is a header indicating the
346 format version. All output is stripped out when exporting to python.
347
348 Here is an example of a simple notebook with one text cell and one code input
349 cell, when exported to python format::
350
351 # <nbformat>2</nbformat>
352
353 # <markdowncell>
354
355 # A text cell
356
357 # <codecell>
358
359 print "hello IPython"
360
361
257 362 Known Issues
258 363 ============
259 364
260 365 When behind a proxy, especially if your system or browser is set to autodetect
261 366 the proxy, the html notebook might fail to connect to the server's websockets,
262 367 and present you with a warning at startup. In this case, you need to configure
263 368 your system not to use the proxy for the server's address.
264 369
265 370 In Firefox, for example, go to the Preferences panel, Advanced section,
266 371 Network tab, click 'Settings...', and add the address of the notebook server
267 372 to the 'No proxy for' field.
268 373
269 Notebook document format
270 ========================
271
272
374
273 375 .. _Markdown: http://daringfireball.net/projects/markdown/basics
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