An A record with your_domain pointing to your server’s public IP address.The following DNS records set up for your domain:.You can purchase domains on Namecheap, get a free domain at Freenom, or register a new domain with any registrar of your choice. This tutorial will use your_domain throughout. A registered domain name or sub-domain where you’ve access to edit DNS records.You can use the How To Install the Anaconda Python Distribution on Ubuntu 18.04 tutorial. An installation of the Python Anaconda Distribution on your server.An Ubuntu 18.04 server with a non-root user account with sudo privileges using this Initial Server Setup Guide.In order to complete this tutorial, you’ll need: You’ll also be configuring your server to be able to connect to the JupyterLab instance remotely from any web browser, securely, using a domain name. In this tutorial, you’ll install and set up JupyterLab on your Ubuntu 18.04 server. It introduces tools such as a built-in HTML viewer and CSV viewer along with features that unify several discrete features of Jupyter Notebooks onto the same screen. The JupyterLab environments provide a productivity-focused redesign of Jupyter Notebook. JupyterLab is a highly feature-rich UI that makes it easy for users, particularly in the fields of Data Science and AI, to perform their tasks. He maintains and contributes to JupyterLab, JupyterLab Desktop and several other projects in the Jupyter eco-system.The author selected the United Nations Foundation to receive a donation as part of the Write for DOnations program. Mehmet Bektas is a Senior Software Engineer at Netflix and a Jupyter Core Developer. Please provide your valuable input using project’s GitHub issues or by other available channels. We are looking forward to user feedback from the community to define project’s roadmap. Follow the project on GitHub and Jupyter Blog for updates. This release updates and modernizes the JupyterLab App after couple of years from the initial release and forms a new baseline for the new features to be built-on.
Libraries included in the environment are numpy, scipy, pandas, ipywidgets and matplotlib. The backend of the JupyterLab along with Python libraries are provided via a bundled conda Python environment. JupyterLab App is based on Electron and it runs the front-end of JupyterLab inside an embedded browser. One-click installer on macOS Built-in Python environment
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