jupyter notebook online use library example

Folded cells can still runįreeze Cell - Freezes the current input cell so that no changes are allowed also prevents this cell from running Move Cell Down - Moves the current cell downĭelete Cell - Permanently removes cell from the notebookįold Cell - Folds (hides) the current cell. Move Cell Up - Moves the current input or markdown cell up Run Cell - Runs code in the selected cellĪdd New Cell - Adds new input cell above or below the current cell However, code in input cells will be available to re-run after the Notebook restarts Restarts the session, thus clearing all the variables, libraries imported, etc. Restart Session - Stops any current computations running in the Notebook. Run Notebook - Runs all input cells in the Notebook in sequence (from top to bottom)

Status Indicator - Where you are notified about your Notebook session status. Resources Panel - The right side panel provides resources to help you including keyboard shortcuts, external documentation, and supported libraries/packages. Toolbar - Where you can manipulate and run your Notebook, restart the session, export, and more.Ĭells - Compose code and view results in aĬode cell, or contextualize your work with a Markdown cell. Your query results will automatically be loaded into a datasets object.ĭropdown to select the environment you want to launch a Notebook from, usually either Open an existing report or create a new report and run one or more SQL queries from the SQL Editor.When Notebook output is included in the Report, that Report’s schedule will re-run the Notebook so all of the data stays in sync. You can add the results of output cells to reports, or share a link to the Notebook directly. Notebook environments have a variety of supported Python libraries and R packages installed. The Notebook’s moveable code blocks and markdown cells enable exploratory data analysis, visualization, and collaboration. Every Mode report contains an integrated notebook-style environment where analysts can extend their analysis using either Python or R.

Jupyter notebook online use library example