We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm.

Source code can be found on [github](https://github.com/pyper-dev/pyper)

Key features:

Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work.

Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable code naturally.

Safety: Hides the heavy lifting of underlying task execution and resource clean-up. No more worrying about race conditions, memory leaks, or thread-level error handling.

Efficiency: Designed from the ground up for lazy execution, using queues, workers, and generators.

Pure Python: Lightweight, with zero sub-dependencies.

We'd love to hear any feedback on this project!