Scale up as you grow — whether you're running one virtual machine or ten thousand.

From GPU-powered inference and Kubernetes to managed databases and storage, get everything you need to build, scale, and deploy intelligent applications.

Wanting to run a simple script using Pandas DataFrame I had a 413 error stumbling upon the 48MB restriction of the serverless function. See also a similar question here Payload too large The popular packages Pandas, Numpy are around 70 MB themselves.
I’ve been looking to reduce the size of the packages as suggested on this article How to shrink NumPy, Pandas… However setting the CFLAG to compile the package led to long deployment times.
Not being familiar with optimizing pip installs, is there a way to install/compile Pandas to get it to work within the 48 MB? Or increase the limit to 200 MB?
wtrenker
ecpost
Derick
lenartgolob
Ivan Montilla Miralles
Core Aviation&Aerospace Solutions Ltd
9acf0571445e473b808bcce0f03012
ca211f6997574f8f8ef142b5313477
0cce417fb7c54f349df192251f2877
tvcsop
Basil.Cabrera
Chargle Frumtum