What are some optimization techniques for Django and Plotly?
An example of an AI chatbot conversation about Django and Plotly optimization techniques.
What are some optimization techniques for Django and Plotly?
To optimize Django with Plotly, consider using caching, optimizing database queries, and reducing data sent to the client.
Can you explain how caching works in Django?
Caching in Django stores the output of expensive computations, so subsequent requests can be served faster without recalculating.
What about optimizing database queries?
You can optimize database queries by using select_related and prefetch_related to reduce the number of queries made.
How can I reduce the data sent to the client in Plotly?
You can reduce data sent to the client by filtering datasets, using downsampling techniques, or aggregating data before sending.
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