The functionality for "Drag and Drop" and "Copy and Paste" into markdown cells no longer work to insert image files directly into Jupyter Classic Notebook. I am running on this platform: Jupyter Notebook CLASSIC v6.1.5 client/server with IPython 7.21.0 kernel on Python 3.7.9 Kernel ...
A drag-and-drop dashboard editor for JupyterLab. Contribute to jupytercalpoly/jupyterlab-interactive-dashboard-editor development by creating an account on GitHub.
You can move cells up or down within a notebook via dragging and dropping. For code cells, the drag and drop area is to the left of the cell editor as indicated below. For rendered Markdown cells, you may click anywhere to drag and drop cells. ...
notebook.dragAndDropEnabled: Disables drag and drop for cells. You can still rearrange cells using the commands Alt+Up/Alt+Down by default notebook.globalToolbar: Adds a toolbar to the top of the notebook editor. notebook.showCellStatusBar: This setting has a new option, visibleAfterExecute...
This usesIPython, which provides an environment like thePython REPL, where you can type code in directly or drag and drop it from a notebook or Markdown file, and then run it. This code has its own kernel process, so it won’t interfere with anything else that you have running elsewher...
DataSpell 2023.1 is out! Automatically convert a Jupyter Notebook into a Python script, drag and drop a CSV file to create a pandas DataFrame, and more DataSpell 2022.3: Support for Remote Interpreter Connections via SSH, Remote Jupyter Debugging, Local History for Tracking and Reverting Changes ...
Drag and drop terminals -- Move terminals across windows to both editor and panel areas: Developers can drag and drop terminals from the tabs list or editor area of one window into the tabs list, editor area or panel of another window. ...
Drag-and-drop to reorder notebook cells and copy them between notebooks. Run code blocks interactively from text files (.py, .R, .md, .tex, etc.). Link a code console to a notebook kernel to explore code interactively without cluttering up the notebook with temporary scratch work. ...
Azure ML Studiois a powerful canvas for the composition of machine learning experiments and their subsequent operationalization and consumption. Azure ML Studio provides an easy to use, yet powerful, drag-drop style of creating experiments A really cool feature...
drag-and-drop operations andvisual programming. It provides a quick understanding of the logic and structure of complex data analysis by representing it via a visual and transparent workflow. You can also write snippets of Python code in KNIME Analytics Platform; the Jupyter Notebook user ...