12 Feb 2019

Jupyter Notebook is a powerful tool, but how can you use it in all its glory on a server? In this tutorial you will see how to set up Jupyter notebook on a server like Digital Ocean, AWS or most other hosting provider available. Additionally, you will see how to use Jupyter notebooks over SSH tunneling or SSL with with Let’s Encrypt.

Jupyter is an open source web application that enables interactive computing from the browser. You can create documents that feature live code, documentation with Markdown, equations, visualization and even widgets and other interesting capabilities. Jupyter comes from the three core languages that are supported: Julia, Python, and R. Jupyter connects to a kernel with a specific language, the most common being the IPython kernel. It supports a whole variety of kernels and you should find most languages you need. This tutorial was written in JupyterLab, the next developments of Jupyter notebook:

Now run Juputer Notebook (jupter notebook) and select the virtual environment of the notebook (.ipynb file) - You can see the environment is listed and you selected the right environment, but you run the following code and it shows module tensorflow is not found and you can verify that using pip list. Jun 11, 2020 Mostly a bug-fix release. Also contains functionality to save Cadabra notebooks as Jupyter notebooks, to make it easier to exchange them between the native app and Jupyter. 31 Oct 2020 Release of 2.3.2. Various new features and fixes, and a new Jupyter kernel which is installed by default, thanks to Fergus Baker. The version of jupyter notebook for Mac you are about to download is 4.2.3. This Mac program is distributed free of charge. The package you are about to download is authentic and was not repacked or modified in any way by us. The download was scanned for viruses by our system. Jupyter as an app for macOS Hey, I have been using Jupyter for quite a while and it always bugged me that there is no way to quickly launch a notebook or a lab server from Finder and be greeted with native tabbing and multi window support in a standalone application (with its own icon in the dock). We recommend installing the classic Jupyter Notebook using the conda package manager. Either the miniconda or the miniforge conda distributions include a minimal conda installation. Then you can install the notebook with: conda install -c conda-forge notebook.

In this tutorial we will be working with Ubuntu 16.04/18.04 servers, but most steps should be fairly similar for Debian 8/9 distributions. We will first go through creating SSH keys, adding a new user on the server, and installing Python and Jupyter with Anaconda. Next, you will setup Jupyter to run on the server. Finally, you can either choose to run Jupyter notebooks over SSH tunneling or over SSL with Let’s Encrypt.

We are starting with a fresh server and in order to add more security when accessing your server, you should consider using SSH key pairs. These key pairs consist of a public key which is uploaded to the server and a private key that stays on your machine. Some hosting providers require you to upload the public key before creating the server instance. To create a new SSH key you can use the ssh-keygen tool. To create the key pairs you can simply type the command:

this will prompt you to add the file path and a passphrase if you want to. There are other arguments of options you can choose from like public key algorithm or file name. You can find a very good tutorial here on how to create a new SSH key with ssh-keygen for Linux or macOS. If you are using Windows, you can create SSH-keys with PuTTYgen as described here. If your hosting provider does not need a public key before creation you can copy the public key with the ssh-copy-id tool:

Scratching out a living sparknotes summary. Finally, you can connect to your server with:

where ~/.ssh/id_rsa is the path to your ssh private key and host is the host address or IP address of you server instance.

In some servers you start off as a root user. It is considered bad practice to work directly with the root since it has a lot of privileges which can be destructive if some commands are done by accident. If you already have a user you can skip this section. Note that you can replace cloud-user in all the following commands with the user name you want. Start by creating a new user:

This command will ask you a couple of questions including a password. Next, you’ll want to grant administrative privileges to this user. You can do this by typing

Now you are ready to switch to the new user with su cloud-user or by connecting to your server with ssh cloud-user@host. Optionally, you can add the SSH keys of the root user to the new user for additional security. Otherwise you can skip to the next section on how to install Anaconda. Now, if you you have existing SSH keys for the root user you can copy the public key from the root home folder to the users home folder like shown here:

Next, you need to change the permissions for both the folder and the public key:

If you are using a password for your user you need to update /etc/ssh/sshd_config:

There you want to find the line PasswordAuthentication no and change the no to a yes to allow password authentication. Finally you want to restart the SSH service by typing service ssh restart. For other distributions have a look into this guide, where you will also see how to set up a firewall.

Anaconda is an open-source distribution of Python (and R) for scientific computing including package management and deployment. With it, you have most tooling that you need including Jupyter. To install Anaconda, go to the downloads for linux and copy the Linux installer link for the latest Python 3.x version. Then you can download the installer with wget:

Next you can install Anaconda by using bash as follows:

During installation, it is important to type yes when the following prompt appears during the installation:

After you finished installing you want to initialize the conda command line tool and package manager by Anaconda with:

These two commands set up Anaconda on your server. If you have run the Anaconda bash file with sudo, you will get a Permission denied error. You can solve it as shown in this question by typing sudo chown -R $$USER:$$USER /home/user/anaconda3. This changes the owner of this folder to the current user with the chown command.

Jupyter is installed with Anaconda, but we need to do some configuration in order to run it on the server. First, you’ll want to create a password for Jupyter notebook. You can do this by starting the IPython shell with ipython and generating a password hash:

Save this resulting hash for now, we will need it in a moment. Next, you want to generate a configuration file which you can create by typing. Usb pnp sound device drivers for mac.

Jupiter Notebook Native Macos Applications

Now open the configuration file with sudo nano ~/.jupyter/jupyter_notebook_config.py and copy the following code into the file and replace the hash in this snippet with the one you have previously generated:

Now you should be set up. Next, you can decide whether you want to use SSH tunneling or you want to use SSL encryption and access your jupyter notebook over your own domain name.

You can tunnel to your server by adding the -L argument to the ssh command, which is responsible for port forwarding. The first 8888 is the port you will access on your local machine (if you already use this port for another juypter instance you can use port 8889 or a different open port). You can access this then on your browser with localhost:8888. The second part localhost:8888 specifies the jump server address accessed from the server. Since we want to run the notebook locally on the server, this is again localhost. This would mean that we access localhost:8888 from the server via port forwarding to localhost:8888 on our machine. Here is how the command would look like:

If you have another Jupyter notebook running on your local machine

Jupyter Notebook Native Macos App