It is free software you can install and run. Read more about the latest updates in this blog post, or try the latest JupyterLab Desktop here. A Jupyter notebook is a browser-based interface where you can write, run, remix and republish code. The user settings file contains application settings such as the default Python path and theme, and these can be configured from the Settings dialogue in the application UI. There are also configuration improvements, as JupyterLab Desktop now stores user settings, project settings, and application data in separate JSON files. Other updates include security and privacy enhancements, improvements to logging and troubleshooting features, and bug fixes. Users can also browse or enter the path of a Python executable using this menu to set the Python environment, and once selected, the JupyterLab server will restart using the new environment without restarting the application. These can be seen on the Python environment selector menu on the server status button found on the title bar. Additionally, there is an option in the startup mode configurations, “restore last sessions” that restores session windows at the next launch in their previous positions from the last session.Īt launch, the program now automatically discovers compatible Python environments pre-installed on a user’s computer. Users can now open multiple projects in different session windows side by side with the addition of support for multiple session windows. The welcome page now offers launch options including creating a new notebook, opening files or folders directly from UI, or dragging and dropping files or folders directly onto the welcome page to be opened in a new session. Work can be separated into different projects with their own notebook files and configurations, based on project tasks and dependency libraries. (Source: Project Jupyter)Įach time a user launches JupyterLab in a different working directory, a separate project is created that can have its own configurations for elements such as Python environment and UI layout. Each JupyterLab UI window in the app is associated with a separate session and sessions can be restored with the same configuration at the next launch,” wrote Mehmet Bektas, a senior software engineer at Netflix and Jupyter distinguished contributor, in a blog announcement. Sessions are representations of local project launches and connections to existing JupyterLab servers. There are also links to session create options: “With this release, we are introducing the concept of sessions and projects. One new feature is a welcome page at the launch of the app that contains a Jupyter news feed populated with blog posts and news and events items. Project Jupyter says this v3.6.1-1 update adds many new features with a main focus on the user experience. JupyterLab Desktop is the cross-platform desktop application for JupyterLab, a web-based interactive development environment for notebooks, code, and data. The folks at Project Jupyter have announced a major update to the JupyterLab Desktop.
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