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Configuring the Jupyter Notebook¶The notebook web server can also be configured using Jupyter profilesand configuration files. The Notebook web server configuration optionsare set in a file named jupyter_notebook_config.py in your Jupyterdirectory, which itself is usually .jupyter in your home directory.
The default version of jupyter_notebook_config.py lists all of theoptions available along with documentation for each. Changes made tothat file will affect all notebook servers run under that profile.Command line options always override those set in configuration files.
You can create a new config:
More details about Jupyter configuration files and profiles can be foundhere.
Securing the notebook server¶The Jupyter Notebook allows arbitrary code execution on the computerrunning it. Thus, the notebook web server should never be run on theopen internet without first securing it. By default, the notebook serveronly listens on local network interface (127.0.0.1) There are twosteps required to secure the notebook server:
Setting a password
Encrypt network traffic using SSL
Setting a password¶You can protect your notebook server with a simple single password bysetting the NotebookApp.password configurable. You can prepare ahashed password using the function IPython.lib.passwd:
You can then add this to your jupyter_notebook_config.py:
Using SSL/HTTPS¶When using a password, it is a good idea to also use SSL, so that yourpassword is not sent unencrypted by your browser to the web server. Whenrunning the notebook on the public internet this is absolutely required.
The first step is to generate an SSL certificate. A self-signedcertificate can be generated with openssl. For example, thefollowing command will create a certificate valid for 365 days with boththe key and certificate data written to the same file:
In most cases, you should run this command in your profile directory,which will make it easy to use the generated key and certificate.
When you connect to a notebook server over HTTPS using a self-signedcertificate, your browser will warn you of a dangerous certificatebecause it is self-signed. If you want to have a fully compliantcertificate that will not raise warnings, it is possible (but ratherinvolved) to obtain one, as explained in detail in thistutorial
When you enable SSL support, you will need to access the notebook serverover https://, rather than plain http://. The startup messagefrom the notebook server prints the correct URL, but it is easy tooverlook and think the server is for some reason non-responsive. Editor de audio.
Once you have generated the key and certificate, you can configure thenotebook server to use them, by adding the following tojupyter_notebook_config.py:
Running a public notebook server¶Don't run a public notebook server unless you first secure it with apassword and SSL/HTTPS as described above
By default the notebook server only listens on thelocalhost/127.0.0.1 network interface. If you want to connect to thenotebook from another computers, or over the internet, you need toconfigure the notebook server to listen on all network interfaces andnot open the browser. You will often also want to disable the automaticlaunching of the web browser.
This can be accomplished by passing a command line options.
You can also add the following to your jupyter_notebook_config.pyfile:
Running with a different URL prefix¶The notebook dashboard typically lives at the URLhttp://localhost:8888/tree. If you prefer that it lives, togetherwith the rest of the notebook web application, under a base URL prefix,such as http://localhost:8888/ipython/tree, you can do so by addingthe following lines to your jupyter_notebook_config.py file.
Using a different notebook store¶By default, the notebook server stores the notebook documents that itsaves as files in the working directory of the notebook server, alsoknown as the notebook_dir. This logic is implemented in theFileNotebookManager class. However, the server can be configured touse a different notebook manager class, which can store the notebooks ina different format. Voice converter boy to girl.
The bookstore packagecurrently allows users to store notebooks on Rackspace CloudFiles orOpenStack Swift based object stores. Just to be sure watch online.
Writing a notebook manager is as simple as extending the base classNotebookManager. Thesimple_notebook_managerprovides a great example of an in memory notebook manager, createdsolely for the purpose of illustrating the notebook manager API.
Known issues¶When behind a proxy, especially if your system or browser is set toautodetect the proxy, the notebook web application might fail to connectto 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 forthe server's address.
For example, in Firefox, go to the Preferences panel, Advanced section,Network tab, click ‘Settings..', and add the address of the notebookserver to the ‘No proxy for' field.
CoCalc's own collaborative, fully compatible and supercharged notebooks.
No software setup 100% onlineCoCalc is an online web service where you can run Jupyter notebooks right inside your browser. You can privately share your notebook with your project collaborators – all changes are synchronized in real-time.
You no longer have to worry about setting up your Python environment, installing/updating/maintaining your libraries, or backing up files. CoCalc manages everything for you! 
Notebooks made for teaching!A sophisticated course management system keeps track of all notebooks of all students. It manages distributing and collecting files as well as grading.
CoCalc's Jupyter Notebooks fully support automatic grading! The teacher's notebook contains exercise cells for students and test cells, some of which students can also run to get immediate feedback. Once collected, you tell CoCalc to automatically run the full test suite across all student notebooks and tabulate the results. Learn more about NBGrader-like grading. 
To get started, sign up and create a project. Then upload your *.ipynb files or create a new Jupyter notebook. 

CoCalc supports many kernels right out of the box: several Python environments, SageMath, R Statistical Software, Julia and many more. 
The following features are specific to Jupyter notebooks. 
 There is also a comprehensive CoCalc Jupyter documentation. 
You can share your Jupyter notebooks privately with project collaborators. All modifications are synchronized in real time, where you can see the cursors of others while they edit the document. You are also notified about the presence of watching collaborators.
Even sliders, menus and knobs of interactive widgets are synchronized among all collaborators.
Additionally, the status and results of all computations in the currently running kernel session are also synchronized, because the session runs remotely in CoCalc's cluster.
Together, everyone involved experiences the document in exactly the same way. 
The Time-travel feature is specific to the CoCalc platform. It records all your changes in the Jupyter notebook in fine detail. You can go back and forth in time across hundreds of changes to recover your previous edits.
This allows you to easily recover parts of previous versions of your file, by copy/pasting the part you accidentally changed.
You can also relive the entire process of creating the notebook from the start. This lets you discover how you arrived at a particular solution and see what you (or your student) tried before. 
C Notebook online, freeCoCalc's Jupyter Notebooks fully support automatic and manual grading!
The teacher's notebook contains exercise cells for students and test cells, some of which students can also run to get immediate feedback. Once collected, you tell CoCalc to automatically run the full test suite across all student notebooks and tabulate the results.
A side-by-side chat for each Jupyter file gives you the ability to discuss the content with your colleagues or students.
C Notebook OnlineCollaborators who are not online will be notified about new messages the next time they sign in.

CoCalc supports many kernels right out of the box: several Python environments, SageMath, R Statistical Software, Julia and many more. 
The following features are specific to Jupyter notebooks. 
 There is also a comprehensive CoCalc Jupyter documentation. 
You can share your Jupyter notebooks privately with project collaborators. All modifications are synchronized in real time, where you can see the cursors of others while they edit the document. You are also notified about the presence of watching collaborators.
Even sliders, menus and knobs of interactive widgets are synchronized among all collaborators.
Additionally, the status and results of all computations in the currently running kernel session are also synchronized, because the session runs remotely in CoCalc's cluster.
Together, everyone involved experiences the document in exactly the same way. 
The Time-travel feature is specific to the CoCalc platform. It records all your changes in the Jupyter notebook in fine detail. You can go back and forth in time across hundreds of changes to recover your previous edits.
This allows you to easily recover parts of previous versions of your file, by copy/pasting the part you accidentally changed.
You can also relive the entire process of creating the notebook from the start. This lets you discover how you arrived at a particular solution and see what you (or your student) tried before. 
C Notebook online, freeCoCalc's Jupyter Notebooks fully support automatic and manual grading!
The teacher's notebook contains exercise cells for students and test cells, some of which students can also run to get immediate feedback. Once collected, you tell CoCalc to automatically run the full test suite across all student notebooks and tabulate the results.
A side-by-side chat for each Jupyter file gives you the ability to discuss the content with your colleagues or students.
C Notebook OnlineCollaborators who are not online will be notified about new messages the next time they sign in.
Chat supports markdown formatting and LaTeX formulas. 
CoCalc makes sure that your desired computational environment is available and ready to work with. You just have to select from many pre-installed and fully managed kernels to start with your work.
Look at our list of available software for more details. 
CoCalc offers a complete rewrite of the classical Jupyter notebook interface. It is tightly integrated into CoCalc and adds real-time collaboration, time-travel history and more.
This rewrite does not change the underlying Jupyter notebook file format. Therefore, you can download your *.ipynb file at any time and continue working in another environment.
Despite that, there is also support for the 'Classical notebook'. This assures that you can still use all libraries relying on the specifics of that implementation. CoCalc does add collaborative editing and a chat, too. 
Long running notebook sessions or intense computations might deplete available CPU or memory resources. This slows down all calculations or even causes an unexpected termination of the current session.
C Notebook Online Sa PrevodomThis indicator helps you to keep an eye on the notebook's memory and CPU consumption. 
Every couple of minutes, all files in your project are saved in consistent read-only snapshots.
Studio C NotebooksThis means you can always recover older versions of your files in case they got corrupted or accidentally deleted. 
CoCalc helps you sharing your work with the world. It offers its own hosting of shared documents, which includes Jupyter notebooks and any other associated data files.
Shop Studio C NotebookUnder the hood, CoCalc uses a novel renderer which generates a static HTML representation on the server side and even includes pre-rendered LaTeX formulas. This approach does not suffer from the same shortcomings as other solutions based on nbconvert. 