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README.rst

Transducers in Python

This is a port of the transducer concept from Clojure to Python, with an emphasis on providing as Pythonic as interpretation of transducers as possible, rather than reproducing Clojurisms more literally.

Installable Python package

This package is available on the Python Package Index (PyPI) as transducer.

Status

Build status:

Build Status Documentation Status

Note: Documentation is very much a work in progress.

What are transducers?

Transducers are functions which transform reducers - hence the name. A reducer, in this case, is any function which you could pass to the reduce() function in the Python Standard Library functools module. Such reducers accept an initial or intermediate result and combine a new value with that result to produce a new (or updated) result. Transducers provide us with a convenient means to compose simple reducers into more complex and capable reducers.

Furthermore, transducers facilitate the clean separation of concerns of how source values are input, how they are processed by reducers, and the how results output. This allows the same transducers to be (re)used with many sources and destinations of data, not just with iterable series.

Transducers were developed by Rich Hickey, the driving force behind the Clojure programming language, and this package aims to bring the benefits of transducers to Python 3, whilst transforming some of the Clojurisms into more Pythonic solutions.

An extended write-up of the development of Python transducers from scratch can be found in our series of articles Understanding Transducers Through Python. The code developed over the course of these articles is substantially the same as in this transducer package, although the package uses some further abstractions and tools which are largely irrelevant to understanding how transducers work.

This package, implements simple infrastructure for implementing transducers in Python, a selection of transducer implementations of common operations, and some 'transducible processes' which allow us to apply transducers to iterable series (both eagerly and lazily) and to use transducers to process 'push' events implemented as Python coroutines.