![]() Assign existing shortcut to new action.Open a notebook in classic notebook, modify, save and reopen in Lab.Ĭustomizing JupyterLab Settings (Stephanie, 3:45, 10 min).Python code file + console workflow (notice the completions in the python code file!).binding multiple documents to the same kernel.Stepping through code from a notebook cell (look at Bo Peng's PRs to 1.0).Attaching a code console to the same kernel as a notebook.Create terminal, work with terminal next to code file and console.Developing libraries with notebook and Python files attached to same kernel.Executing code in a markdown file using an attached console.(+5 minutes to finish Exercise 1) Workflows around executing code Attaching kernels to multiple documents (Matthias, 3:15, 15 min) Write one good thing on the green sticky note, one bad on the red one. (perhaps also dragging between notebooks and consoles and files) drag cells, inside notebook and between views of files.Look into the Exercise 1 folder, and follow the instruction in Exercise-1.md Installation and Exercise 1 (Matthias, 2:30, 30 min) Highlight what is new in 1.0 (replaces section at end of tutorial, leave more time for Q&A instead) Look at changelog in master to highlight new features in interface ![]() (possible slide material in ) Tour of User Interface (Stephanie, 1:50, 30 min) No difference in file format Notebooks files are the same. ![]() Can you get Lab and notebook at the same time: YES.Go over context/design of JupyterLab (pull from JupyterCon 'Terraforming' introduction content) Something was not intuitive, or what surprised you. When trying to do any task in an exercise, please let us know if JupyterLab is still evolving, and we are still refining the usability and userĮxperience. Installation issues if you are using a different python distribution. For this tutorial, we are standardizing on a conda-based pythonĭistribution (miniconda or Anaconda). Today this tutorial will be presented to you by Stephanie Stattel, Jason Grout, and Matthiasīy now you should have installed JupyterLab following the instructions in the Overview of JupyterLab Introduction (Stephanie, 1:30pm, 20 min) Links) and a rough timeline if you want to follow up on the video later. This can serve as a quick read through summary of what we talked about (with Helper will come see you, or the speaker will take time to get questions. If you have any question and concern or need help, fell free to speak up. JupyterLab, and how to make the best use of the new powerful features of JupyterLab, how to transition from the “classic” Jupyter Notebook frontend to In this tutorial we’ll walk users thought the best way to make use of Useful ways, such as interactive maps, tables, or plots. Services, such as Dask or Apache Spark, or display their data in effective and Plugins to view custom file formats, such as GeoJSON, interact with external For example, users can install or write third-party PhosphorJS that makes it easy to customize existing components or extend it JupyterLab is based on a flexible application plugin system provided by Output from a notebook to work with it alone). User can send code from a file to a console with a keystroke, or can pop out an These components are carefullyĭesigned to enable the user to use them together or separately (for example, a Users canĪrrange multiple notebooks, text editors, terminals, output areas, and customĬomponents using tabs and collapsible sidebars. ![]() ![]() Notebooks, it goes beyond the classic Jupyter Notebook by providing a flexibleĪnd extensible web application with a set of reusable components. While JupyterLab does of course allow the use of Jupyter For the last several years the Jupyter team has been working on a new Jupyterįrontend: JupyterLab. ![]()
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