I’m looking at using the *.ipynb files as the source of truth and programmatically ‘compiling’ them into .py files for scheduled jobs/tasks. The only way I understand to do this is via the GUI. Is there a way to do it via command line?
I usually create a dictionary containing a DataFrame for every sheet: Update: In pandas version 0.21.0+ you will get this behavior more cleanly by passing sheet_name=None to read_excel: In 0.20 and prior, this was sheetname rather than sheet_name (this is now deprecated in favor of the above):
You can do this inside of a markdown cell. A markdown cell can be created by selecting a cell then pressing the esc key followed by the M key. You can tell when you have converted a cell to markdown when In [ ]: seen to the right of the default code cell is gone. Then you can input the following code … Read more
You can do this inside of a markdown cell. A markdown cell can be created by selecting a cell then pressing the esc key followed by the M key. You can tell when you have converted a cell to markdown when In [ ]: seen to the right of the default code cell is gone. Then you can input the following code … Read more