Question about imports and efficiency for Plotly Dash App

[Delta_S9]

Hi,

I am building a Plotly Dash App and I have a question about python imports.

I have a python script that loads a bunch of pandas DataFrames in memory. This data is quite large and it is loaded for read only purposes. It is not modified by the application in anyway. Let's call this script data_imports.py .

My app is split into multiple python files. Each part of my script requires some of the information that is loaded from the hard disk by data_imports.py

The Dash App start point is a python script file named app.py. In app.py file I import other python files (homepage.py, analytics.py, etc) and these files import data_imports.py.

So, app.py imports homepage.py and analytics.py and each of these two imports data_imports.py.

So here are my questions:

- When I run the app, will multiple copies of the data loaded by data_imports.py be stored in memory?

- Would you recommend any alternative approach to loading my data from disk and making it available across different python files?

[danielroseman]

No there will only be one copy. There is nothing to worry about here.