We will create the directory in user’s home directory $ mkdir notebooks Simply press Ctrl+C twice to stop the server The configuration steps are explained as follows. We will install Jupyter as a user service that is always started at boot time. There can be two options for installing Jupyter as service: system-wide service or user service. Additionally, running Jupyter as service will enable remote access by more people, a common setting in a collaborative environment. If we use notebook extensively, it is better to install Jupyter as service that is started at boot time.
Manually starting Jupyter notebook may suffice for single user with less frequent use. Installing Jupyter Notebook as Service (Advanced Installation) This means that we can access the jupyter notebook locally (in case of desktop or server with GUI) using “localhost” or remotely by changing 0.0.0.0 with the server’s public IPv4 address. Note that the IP address 0.0.0.0 refers to all interfaces. To access the GUI, we open the browser and type the GUI address as hinted by the log output in Step 4. Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).Ĭopy/paste this URL into your browser when you connect for the first time, Sample output: Serving notebooks from local directory: /home/MYUSER Start 4: (virtualenv) Start jupyter server (tensorflow) $ jupyter notebook -port 8888 -ip 0.0.0.0 -no-browser Step 3: (virtualenv) Install jupyter module (tensorflow) $ pip install jupyter Step 2: Activate the virtualenv $ source ~/virtualenv/tensorflow/bin/activateĪfter executing the command above, the prompt will be changed to: (tensorflow) $ Step 1: Install ipython packages $ sudo apt-get -y install ipython ipython-notebook ~/virtualenv/tensorflow or /home/MYUSER/virtualenv/tensorflow MYUSER (change this into your user account) The pre-installation environment is as follows: Please make sure you have read the article to understand the pre-requisites, otherwise some steps explained in this article may not work. This article is the continuation of the previous article about TensorFlow installation. However, it’s important to note that the configuration depends on some pre-requisites. In this article, we will go into more details about Jupyter Notebook installation and configuration on Ubuntu 16.04. A popular notebook for Python is Jupyter Notebook, which was formerly known as IPython Notebook.
How to install jupyter notebook ubuntu code#
A notebook is an interactive environment, normally with web GUI support, where someone can combine code execution, text, rich media, charting and other types of data visualization. Similar initiative also exists for Python in the forms of interactive shell and “notebook”. Deep learning algorithms and systems are often developed in Python, another interpreted language. Node JS for example has a feature named Read-Eval-Print Loop (REPL) that enables someone to write Javascript code with Node JS and has it evaluated on the go. This kind of mechanism is possible for scripting language where the codes are interpreted. Instead of writing the whole source code and evaluate everything, it is arguably more productive to write the code in small steps, with one line as the smallest unit, and evaluate the code up to the last line written. The easy remedy to reduce errors will be by using a robust IDE that provides productivity-boosting features such as code completion, method definition, codestyle suggestion, advanced debugging, user-friendly UI, and so forth.Īnother element for better development experience is interactivity. When developing a deep-learning system, especially during the modeling stage, a lot of trials and errors can be involved in evolving the codebase.
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