"OPTIMIZE" Your Python Apps By Caching Your API Requests Like THIS

[@Quantum_Nebula]

This is amazing! Wow, I needed this. Whoever brought this to your attention deserves a high-five.

[@Indently]

I should have known though, if you are implementing something manually in Python, you're probably using Python wrong ahah.

[@allo5668]

Is there an async version of this???

[@keenoogodlike]

Your channel is a great Python learning source which filtered all essential techniques for becoming a good Python dev.

[@johnnysim1985]

unpacking into a data class 🔥

[@CatalinSoare]

Amazing video! Glad I didn't dismiss this notification Personally I don't understand the typing class and the "final" declaration, nor the need for the decorator.

[@moviemusic5158]

I came to this video to learn about caching but then I also learned about data classes😃

[@kiwiwelch3620]

Your the best please never stop

[@sagarbhooshan]

I am a newbie to programing, I would like to learn the way you code in there as I really don't understand fully what you have showed there but I really got a sense of it.

[@alidev425]

great content , highly recommended

[@odepleted]

Can does this work with images?

[@dk-ww3kp]

Very useful thank you 👍🏻

[@dipeshsamrawat7957]

Excellent ❤

[@deepikarao2593]

how to optimise large json response using flask or django

[@em01234567]

Thank you for the video. Note that annotating something as string and setting it to None is incorrect.

[@Indently]

You're right, I should have put some default strings there.

[@nestoftw]

this is too complicated with very large datasets that have like 20 different variables for every entry

[@worldstatistics8104]

what is the name of your IDE?

[@sebastianromero7738]

PyCharm, it's the new design.

[@ATS_editz]

if you read this you are a g.... cool