Starting is really fast!
You can intergrate
returns into any project at any stage.
You can use it fully or partially. With or without types.
returns is a very flexible library!
You can even just start using it without any deep theory around this project. But, you can always address our learning materials which will unravel all parts of functional programming with useful examples and simple terms.
One of the most frequent questions Python developers ask: why would we need this?
Basically, the answer is that
useful abstractions that solve some problems every developer has:
Maybe helps to work with
None in a type-safe way
to work with exceptions in a type-safe way
IO helps to separate pure code
from impure code to make your architecture better
Future helps to write
await free code
to inject dependencies in a very readable, explicit, type-safe, and clean way
Pipelines can be used independently or together with the types above to create complex, declarative, and type-safe data pipelines
On top of that we provide useful interfaces that allows you to switch implementation on the fly. For example, you can write code that works the same way for sync and async execution flows. While being fully type-safe at the same time.
And you can write your own primitives that will solve any other problem you can possible have based on our existing or your custom interfaces.
In other words,
returns unlocks insane powers
of typed-functional programming to a regular Python developer.
returns is a pure Python library. Install it as usual:
pip install returns # or better use poetry
This step is optional.
If you use
mypy for type-checking, than you will need to configure it.
We really recommend using
mypy with this project though.
Because we have put a lot of efforts into the typing part.
Check out our docs on mypy.
Do you want to learn new awesome concepts? Then, start reading our “Userguide”!
It has everything you need! Reading order matters.
However, this is optional.
You can still use
returns without a deep-dive into theory.