Lazily-evaluated, parallelizable pipeline.
Project description
Streams are iterables with a pipelining mechanism to enable data-flow programming and easy parallelization.
See the reference documentation at <http://www.trinhhaianh.com/stream.py>.
Articles written by the author about the module can be viewed at <http://blog.onideas.ws/tag/project:stream.py>.
The code repository is located at <http://github.com/aht/stream.py>.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
stream-0.8.tar.gz
(13.5 kB
view details)
File details
Details for the file stream-0.8.tar.gz.
File metadata
- Download URL: stream-0.8.tar.gz
- Upload date:
- Size: 13.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d83f09732c2d28645bd885206854b3c42559f10bb778e691061502dd649da552 |
|
| MD5 | 2e173814f4d45115bf438257bca39db6 |
|
| BLAKE2b-256 | 84a181e4625f04b4ea82f3fe6adf635900ab73523ff27a923dba952c0c1cc191 |
