How can I scale my Python dashboards for better performance?
To scale your Python dashboards, consider optimizing your code, using caching, and leveraging cloud services.
What are some specific caching strategies I can implement?
You can use in-memory caching with libraries like Redis or Memcached, or implement browser caching for static assets.
Are there any cloud services you recommend for hosting?
AWS, Google Cloud, and Azure are great options for hosting scalable Python applications with dashboards.
How do I monitor the performance of my dashboards?
You can use tools like Grafana or Prometheus to monitor performance metrics and identify bottlenecks.
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