This small library provides you with convenient streams deeply inspired by Java 8 release. That release contains not only lambdas but pretty cool Stream API which provides developers with possibilities to build sequental and parallel aggregation on big collections or infinite data flows.
Frankly I am not the Java guy but I have more or less the same workflow on my previous projects where I actively used concurrent.futures or Gevent pools to process pipelines of incoming data to reduce them to some scalar value or aggregated data set. As a rule I used that approach to manage big or unpredictable collections of similar data using some appropriate concurrency where it is possible (threads on computations, coroutines on networking, etc.)
I saw how people are using the same pattern with ORMs but for generic cases they still are trying to avoid mapping, filtering and reducing the results. Actually this library tries to help.
Please checkout official documentation to get more information.
TODO: Figure out how to actually get changelog content.
Changelog content for this version goes here.
TODO: Brief introduction on what you do with files - including link to relevant help section.
|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|pystreams-0.6-py2.py3-none-any.whl (14.6 kB) Copy SHA256 Checksum SHA256||2.7||Wheel||Mar 30, 2014|
|pystreams-0.6.tar.gz (11.9 kB) Copy SHA256 Checksum SHA256||–||Source||Mar 30, 2014|