Bdot does big dot products (by making your RAM bigger on the inside). It aims to let you do all the things you want to do with numpy, but don’t have enough memory for. You can also use it to save space in the cloud and quickly build production microservices.
It’s pretty math.
Bdot is based on Bcolz and includes transparent disk-based storage. It was created to simplify production implementation of nearest neighbor search and other fancy machine learning rigmarole.
1 maintainer
Release files for bdot 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bdot-0.1.7.tar.gz | 5.5 kB | Details |
Release files / bdot-0.1.7.tar.gz
| Download URL | bdot-0.1.7.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
61956754b4f4b4d74d425b2d3291a4db5c25641ce55c64da4edb86a86bf434cb
|
|
BLAKE2b-256 checksum How to use checksums |
4d75b0fc3ba27f37473303f71ef84e3d91baaddde1110fc0693ae5b2b847fe4e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
