https://github.com/tommygrammar/data-optimization-experiments
This is a data optimization technique i developed
https://github.com/tommygrammar/data-optimization-experiments
Last synced: 2 months ago
JSON representation
This is a data optimization technique i developed
- Host: GitHub
- URL: https://github.com/tommygrammar/data-optimization-experiments
- Owner: tommygrammar
- Created: 2024-09-15T16:38:15.000Z (8 months ago)
- Default Branch: blackgrammar-projects
- Last Pushed: 2024-09-15T21:14:08.000Z (8 months ago)
- Last Synced: 2025-01-24T07:11:30.252Z (4 months ago)
- Language: Python
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
use.py uses the cmodule
no_use.py is plain python, important for testing
the c module code is compiled by gcc -shared -o libfast_add.so -fPIC fast_add.c
then libfast_add.so is utilized by the python
specifically for dealing with a lot of data, plain python works well with small data and is faster with small data but as the data increases, the operations become a dominant factor which leads to the no_use.py performing better, the larger the data, the more powerful the results