Jupyter - Revision history

Admin: /* Notebook lists */

2017-12-02T11:28:10Z

Notebook lists

← Older revision		Revision as of 11:28, 2 December 2017
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	ipython notebook gallery: https://github.com/ipython/ipython/tree/41bc8e5ec492820b32f60122dd178300f7e01240		ipython notebook gallery: https://github.com/ipython/ipython/tree/41bc8e5ec492820b32f60122dd178300f7e01240

			==Creating Profiles==

			[[Jupyter/Profiles]]

			==Using Extensions==

			[[Jupyter/Extensions]]

	==Running code in parallel with ipyparallel==		==Running code in parallel with ipyparallel==

Admin: /* Notebook topics */

2017-12-02T11:27:48Z

Notebook topics

← Older revision		Revision as of 11:27, 2 December 2017
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	Long list of links to interesting notebooks: [[Jupyter/List]]		Long list of links to interesting notebooks: [[Jupyter/List]]

	==Notebook ~~topics~~==		==Notebook lists==

			[[Jupyter/List]]

	ipython/ipyparallel client: https://nbviewer.jupyter.org/gist/minrk/4470122		ipython/ipyparallel client: https://nbviewer.jupyter.org/gist/minrk/4470122

Admin: /* List of Jupyter notebooks */

2017-11-28T22:29:25Z

List of Jupyter notebooks

← Older revision		Revision as of 22:29, 28 November 2017
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	==List of Jupyter notebooks==		==List of Jupyter notebooks==

	~~Gallery~~ of interesting ~~Jupyter~~ notebooks: ~~https:/~~/~~github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks~~		Long list of links to interesting notebooks: [[Jupyter/List]]

	==Notebook topics==		==Notebook topics==

Admin: /* List of Jupyter notebooks */

2017-11-28T13:09:30Z

List of Jupyter notebooks

← Older revision		Revision as of 13:09, 28 November 2017
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	Gallery of interesting Jupyter notebooks: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks		Gallery of interesting Jupyter notebooks: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

			==Notebook topics==

			ipython/ipyparallel client: https://nbviewer.jupyter.org/gist/minrk/4470122

			ipython documentation: https://ipython.readthedocs.io/en/stable/index.html?highlight=session

			ipython notebook cookbook: https://ipython-books.github.io/cookbook/

			stochastic methods for data analysis, inference, and optimization: https://am207.github.io/2016/

			ipython notebook gallery: https://github.com/ipython/ipython/tree/41bc8e5ec492820b32f60122dd178300f7e01240

	==Running code in parallel with ipyparallel==		==Running code in parallel with ipyparallel==

Admin at 11:31, 28 November 2017

2017-11-28T11:31:33Z

← Older revision		Revision as of 11:31, 28 November 2017
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	Jupyter Notebooks provide access to the Python programming language through a web browser interface.		Jupyter Notebooks provide access to the Python programming language through a web browser interface.

			==List of Jupyter notebooks==

			Gallery of interesting Jupyter notebooks: https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks

	==Running code in parallel with ipyparallel==		==Running code in parallel with ipyparallel==

Admin: /* Pickling things with Dill */

2017-11-27T13:39:39Z

Pickling things with Dill

← Older revision		Revision as of 13:39, 27 November 2017
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	===Pickling things with Dill===		===Pickling things with Dill===

			See [[Jupyter/Dill]] for use of dill to pickle stuff.

	The dill library adds pickling/serialization abilities to the ipython parallel functionality.		The dill library adds pickling/serialization abilities to the ipython parallel functionality.

Admin at 13:39, 27 November 2017

2017-11-27T13:39:18Z

← Older revision		Revision as of 13:39, 27 November 2017
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	Jupyter Notebooks		Jupyter Notebooks

	(~~Also see:~~ [[Ipython]])		(There is some old information on the [[Ipython]] page but this is the one that's updated regularly)

	Jupyter Notebooks provide access to the Python programming language through a web browser interface.		Jupyter Notebooks provide access to the Python programming language through a web browser interface.

			==Running code in parallel with ipyparallel==

			See [[Jupyter/MPI]] for instructions on setting up and running code in parallel using Jupyter notebooks.

			===Pickling things with Dill===

			The dill library adds pickling/serialization abilities to the ipython parallel functionality.

	==Setting up password-protected Jupyter notebook==		==Setting up password-protected Jupyter notebook==

Admin: /* Generate hashed password */

2017-04-19T06:11:11Z

Generate hashed password

← Older revision		Revision as of 06:11, 19 April 2017
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	</pre>		</pre>

			Or from a Python script:

			<pre>
			from notebook.auth import passwd
			passwd('the_worst_password_in_the_world')
			</pre>


	[[Category:Jupyter]]		[[Category:Jupyter]]
	[[Category:Python]]		[[Category:Python]]

Admin at 06:10, 19 April 2017

2017-04-19T06:10:28Z

← Older revision		Revision as of 06:10, 19 April 2017
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	Jupyter Notebooks provide access to the Python programming language through a web browser interface.		Jupyter Notebooks provide access to the Python programming language through a web browser interface.

			==Setting up password-protected Jupyter notebook==

			If you just want a single-user password-protected Jupyter notebook, you can modify Jupyter's config file, <code>jupyter_notebook_config.py</code>, to contain a hashed password. Then, when you run it, Jupyter will load the configuration file and password-protect the notebook that it starts up. Here's how to do that:

			===Create config file===

			Start by running a Jupyter command that will create a new, empty config file:

			<pre>
			$ jupyter notebook --generate-config
			</pre>

			The file it creates is called <code>jupyter_notebook_config.json</code>. Once you generate the hashed password, this is where you'll add it.

			===Generate hashed password===

			You can generate a hashed password by interactively entering your password on the command line, live:

			<pre>
			$ jupyter notebook password
			Enter password: *******
			Verify password: *******
			[NotebookPasswordApp] Wrote hashed password to /Users/you/.jupyter/jupyter_notebook_config.json
			</pre>

			Alternatively, you can generate the hash yourself, or in a script, using components of Juypter notebook from a Python script:

			<pre>
			>>> from notebook.auth import passwd
			>>> passwd()
			Enter password:
			Verify password:
			'sha1:8c8fe60bb8b6:ccf9ede0825894254b2e042ea597d77107ee11abd'
			</pre>

Admin at 20:15, 30 March 2017

2017-03-30T20:15:04Z

← Older revision		Revision as of 20:15, 30 March 2017
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	Jupyter Notebooks provide access to the Python programming language through a web browser interface.		Jupyter Notebooks provide access to the Python programming language through a web browser interface.



			[[Category:Jupyter]]
			[[Category:Python]]