ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
Project description
PyReplayBG
The official Python porting of the ReplayBG software: https://github.com/gcappon/replay-bg/.
ReplayBG is a digital twin-based methodology to assess new strategies for type 1 diabetes management.
Reference
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
py_replay_bg-0.0.6.tar.gz
(49.6 kB
view details)
Built Distribution
File details
Details for the file py_replay_bg-0.0.6.tar.gz
.
File metadata
- Download URL: py_replay_bg-0.0.6.tar.gz
- Upload date:
- Size: 49.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 12e7474270e63c97b61f8e54e82c2d412550c6e1930092fcc8f684177c27e820 |
|
MD5 | 6966a375c38a4984e17c839af7b432a6 |
|
BLAKE2b-256 | 75ddf6e18327305dca48d23412454a6222bda8136f741f9081fb6f74e9d46711 |
File details
Details for the file py_replay_bg-0.0.6-py3-none-any.whl
.
File metadata
- Download URL: py_replay_bg-0.0.6-py3-none-any.whl
- Upload date:
- Size: 52.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5263f5200aa016c4c11b172597e4b30086456cd49bb4961e2be7a6a44dfe2ca |
|
MD5 | 99bc050265820254617d67c281986627 |
|
BLAKE2b-256 | 14acb7762960ff5c8f493ec4d1e4203a63ef127a48e94db4d3ab335c0bb6cd88 |