Library for the popogation of distributed parameterized jobs and their streams
Project description
Ripple Python Library
This library is responsible for the propagation of parameters and results through a higher level system. It provides small primitives and re-usable components that can be used as the basis for distributed job execution and streaming.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file meshwork-0.1.0.tar.gz.
File metadata
- Download URL: meshwork-0.1.0.tar.gz
- Upload date:
- Size: 32.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6348289ea59c6d275a8b99d2d3e1f820cb61250f80c8793d7707ec4b91025d40
|
|
| MD5 |
1684b949bce95e5f1c76e848fe8297da
|
|
| BLAKE2b-256 |
05fb32e6716224efdbfd47d99065d09d0a2a1e2b426040ce6282f0a2f678c027
|
File details
Details for the file meshwork-0.1.0-py3-none-any.whl.
File metadata
- Download URL: meshwork-0.1.0-py3-none-any.whl
- Upload date:
- Size: 43.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d9bc1b7bfb0555d6606c965f75a9d476fc966928f41bc2bbd7e9d36bbfc217b
|
|
| MD5 |
605b53ff8b46958fe1d4428f068b4c52
|
|
| BLAKE2b-256 |
ee8a78257ec57aa364dbf73acb9d17178b843de831837da18f3ac8f9ce4bb108
|