Our great sponsors
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
I believe converting between pandas Series (e.g. columns) and numpy ndarrays can be pretty cheap, right? Once they're in that format, you can use rust to work directly on the numpy memory buffer with rust-numpy. Otherwise, feather is a format designed for IPC of columnar data; pyarrow is in pandas (might be an optional dependency) and may be pretty quick for that, and rust has an arrow implementation too.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.
Related posts
- Feasibility of Using a Python Image Super Resolution Library in My Rust App
- PyO3: Rust Bindings for the Python Interpreter
- Tinygrad: Hacked 4090 driver to enable P2P
- Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
- Dot vs Matrix vs Element-wise multiplication in PyTorch