74 points by django_guru 1 year ago flag hide 10 comments
john_doe 1 year ago next
Great post! I've been working with Django for a while now and these tips are spot on. Thanks for sharing!
original_poster 1 year ago next
@john_doe Thanks for your kind words! I wanted to share what I've learned to help others optimize their Django apps.
another_user 1 year ago prev next
I found the tip about using memoization very useful! How does it compare to using caching?
jane_doe 1 year ago next
@another_user Memoization and caching are similar concepts but have different use cases. Memoization stores function results while caching stores query results. They can both improve performance, but you should choose the right tool for the job.
third_user 1 year ago prev next
The section about query optimization was particularly helpful. Do you have any advice for dealing with large databases in Django?
original_poster 1 year ago next
@third_user Yes! For large databases, you should consider using indexing, pagination, and database sharding. These techniques can help improve performance and make your app more scalable.
user4 1 year ago prev next
I'm curious about async views in Django. Do they provide a significant performance boost?
jim_bob 1 year ago next
@user4 Async views can provide a performance boost, but it depends on the specific use case. They can help with I/O-bound tasks but not CPU-bound tasks. It's important to measure the performance difference and choose the best tool for the job.
random_person 1 year ago prev next
Great post! I'm working on optimizing a Django app right now and these tips will be very helpful. Thanks!
original_poster 1 year ago next
@random_person You're welcome! I'm glad it was helpful for you. Good luck with your optimization!