![]() We are also in the process of adding auto-update support to Windows. This feature automatically downloads a new version and installs it at the next launch. jlab command allows you to launch the application from specific directories and open files at the specified path. On macOS, automatic updates are supported as well. JupyterLab Desktop can be launched from the GUI of your operating system by clicking the application’s icon or by using the jlab command from the command line. It might be used to create websites with a Python REPL interface for code teaching. JupyterLab Desktop regularly checks for available updates and notifies user for new versions. It runs in a web brower (frontend and backend). Jupyter Lite decreases the entry barrier for setting up the development environment. It is a self-contained desktop application which bundles a Python. If you would like to use Jupyter Lab extensions and have a simpler look, then RetroLab is a good choice. JupyterLab App is the cross-platform standalone application distribution of JupyterLab. You can open several notebooks in the same page and it has many extensions, for example, Language Server Protocol integration for code completion, suggestions, continuous hinting, diagnostics, highlighting (available at /jupyter-lsp/jupyterlab-lsp). If you are looking for a fully Integrated Development Environment, then you should try Jupyter Lab. It has all features that I need - editing simple Python scripts and doing data explorations. Which version of Jupyter application is the best? It all depends on your needs! I personally use Jupyter Notebook Classic. The Jupyter Lite GitHub repository /jupyterlite/jupyterlite and documentation. You can try Jupyter Lite on this address. Not all Python packages are available (like matplotlib, ipywidgets, plotly, altair). It is an experimental version, and not all features from Jupyter Classic/Lab are working, but many are working fine. Python kernels are running in the web browser thanks to PyOdide project. Recently the JupyterLab App has been released which is a standalone desktop application and comes preinstalled with commonly used data science libraries. Jupyter Lite is a Jupyter distribution that works entirely in a web browser. The RetroLab GitHub repository: /jupyterlab/retrolab. You can install Classic Jupyter Notebook with pip command: All the above features make experimenting with code very joyful. Users can execute code cells in arbitrary order. The notebook keeps a live connection to the Python REPL ( read-eval-print loop) kernel. Outputs are displayed below the each cell. Notebook consists of cells, that can be code, markdown or raw text. Every notebook is a separate web page (tab). When you start an app, you are starting a web server locally. It is a web application based on Tornado framework. The Jupyter Notebook Classic is a IPython Notebook successor. Let’s look closer for differences between those Jupyter versions. Currently, the Jupyter Notebook is available as 4 different web applications: Classic Jupyter Notebook, Jupyter Lab, Jupyter RetroLab, and Jupyter Lite. It started from IPython Notebook developed by Fernando Pérez and Brian Granger. ![]() ![]() Jupyter Notebook is a popular open-source tool for development and exploration in a data world.
0 Comments
Leave a Reply. |