Awesome Functional Python

• • ![Awesome

• Books

  • Functional Python Programming - Book by Steve Lott (Packtpub, 2015).
  • Functional Python Programming - Book by Steve Lott (Packtpub, 2015).
  • Functional Python Programming - Book by Steve Lott (Packtpub, 2015).

• Talks

  • slides - Alexey Kachayev, UA PYCon 2012.
  • slides - Christopher Armstrong, PyTenessee 2015.
  • slides
  • video - Mike Müller, PyCon US 2013.
  • slides
  • video - Reuben Cummings, PyCon US 2017.
  • slides
  • Slides - Carlos Villavicencio, EuroPython 2021.
  • Slides - Scott Irwin, EuroPython 2021.
  • Video - Vic Kumar, PyCon 2022
  • video
  • slides
  • video
  • video
  • video - pcIkk4S7JiDmeXGCyyGhCs)), Joel Grus, PyData Seattle 2015.
  • slides - Alexey Kachayev, UA PYCon 2012.
  • video - Christopher Armstrong, Strangeloop 2015

• Other resources

  • Functional Programming with Python - by Christopher Armstrong, O'Reilly.
  • Origins of Python's "Functional" Features
  • Thinking Functionally with Python and Django at eShares Inc.
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Tail Recursion Elimination - Guido van Rossum, 2009
  • Final Words on Tail Calls - Guido van Rossum, 2009
  • Why we need a Python functional programming initiative: a manifesto - Leftfile 2023
  • Practical Functional Reactive Programming
  • Python Generators
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Typed functional Dependency Injection in Python - Nikita Sobolev, 2020.
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Best Practices for Using Functional Programming in Python - Kite Blog, 2018.
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Immutable data structures in Python
  • Understanding Transducers through Python - depth look at transducers. Transducers – a portmanteau of ‘transform reducers’ – are a new functional programming concept introduced into the Clojure programming language."
  • 4 Part Series on Functional Programming Techniques and Design In Python
  • Typeclasses in Python - N. Sobolev, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Tail Recursion Elimination - Guido van Rossum, 2009
  • Final Words on Tail Calls - Guido van Rossum, 2009
  • The fate of reduce() in Python 3000 - Guido van Rossum, 2005
  • Why we need a Python functional programming initiative: a manifesto - Leftfile 2023
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Understanding Transducers through Python - depth look at transducers. Transducers – a portmanteau of ‘transform reducers’ – are a new functional programming concept introduced into the Clojure programming language."
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Functools — The Power of Higher-Order Functions in Python - M. Heinz, 2021
  • Thinking Functionally with Python and Django at eShares Inc.
  • Practical Functional Reactive Programming
  • Functional Programming in 7 days - by Mohammed Kashif, Udemy.
  • Functional Programming in Python - by Dan Bader, Real Python.
  • A practical introduction to functional programming
  • Simple dependent types in Python - Nikita Sobolev, 2019.
  • Python exceptions considered an anti-pattern
  • Enforcing Single Responsibility Principle in Python - Nikita Sobolev, 2019.
  • Functional Programming with Python - by Christopher Armstrong, O'Reilly.

• Libraries

  • Python 3.10
  • Pydash - "The kitchen sink of Python utility libraries for doing "stuff" in a functional way. Based on the Lo-Dash Javascript library".
  • OSlash - "Functors, Applicatives, And Monads in Python".
  • Effect - "Effect isolation in Python, to facilitate more purely functional code".
  • Underscore.py - "A Python port of excellent javascript library underscore.js".
  • Flupy - Implements a fluent interface for operating on python iterables.
  • pfun - "Pure functional programming in python".
  • Phi - "A library that intends to remove as much of the pain as possible from your functional programming experience in Python."
  • pyramda - "Python package supporting heavy functional programming through currying. Translation of the Ramda library from javascript to python".
  • ziopy - "ZIO for Python (with ZIO = A type-safe, composable library for async and concurrent programming in Scala)"
  • pyMonet - "High abstract python library for functional programming. Contains algebraic data structures known from Haskell or Scala".
  • Compose - The classic compose, with all the Pythonic features.
  • pyeffects - "Handle side-effects in Python like a boss. Implements functional types for Either, Option, Try, and Future."
  • returns - "Make your functions return something meaningful, typed, and safe!"
  • Option - Rust-like Option and Result types in Python.
  • Meiga - A simple, typed and monad-based Result type for Python.
  • maybe - (Unmaintained) A simple Rust like Maybe type for Python 3. Fully type annotated.
  • Safetywrap - Fully typesafe, Rust-like Result and Option types for Python.
  • Pyrsistent - "Persistent/Immutable/Functional data structures for Python".
  • Immutables - "An immutable mapping type for Python."
  • Discodb - "An efficient, immutable, persistent mapping object".
  • Funktown - "Immutable Data Structures for Python".
  • Amino - "functional data structures and type classes".
  • Pysistence - "Pysistence is a project that seeks to make functional programming in python easier".
  • pampy - "Pampy: The Pattern Matching for Python you always dreamed of."
  • patmat - "Functional-style recursive pattern matching in Python. Crazy stuff."
  • Transducers - "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".
  • RxPy - "Reactive Extensions for Python".
  • sodium-python - "Python implementation of Sodium - Functional Reactive Programming (FRP) Library"
  • toolz - "A functional standard library for Python".
  • funcy - "A fancy and practical functional tools".
  • fn.py - "Functional programming in Python: implementation of missing features to enjoy FP" (unmaintained since 2014). [Unmaintained fork](https://github.com/fnpy/fn.py).
  • PyFunctional - "Python library for functional programming with collections in a data pipeline style".
  • Pipe - "A Python library to use infix notation in Python".
  • hask - "Haskell language features and standard libraries in pure Python".
  • fnc - "Functional programming in Python with generators and other utilities".
  • PyMonad - "a small library implementing monads and related data abstractions -- functors, applicative functors, and monoids -- for use in implementing functional style programs".
  • unpythonic - "Supercharge your Python with parts of Lisp and Haskell."
  • Iterpy - map, filter etc. as methods on a sequence.
  • result - (Unmaintained) A simple Rust like Result type for Python 3. Fully type annotated.
  • python-pattern-matching - "Python pattern matching like functional languages."
  • apm - "Pattern Matching for Python 3.8+ in a simple, yet powerful, extensible manner."
  • Tranducers-Python - "Transducers are composable algorithmic transformations".
  • broqer - "Library to operate with continuous streams of data in a reactive style"
  • Glom - "Python's nested data operator (and CLI), for all your declarative restructuring needs.".
  • python-lenses - "A python lens library for manipulating deeply nested immutable structures".
  • classes - "Smart, pythonic, ad-hoc, typed polymorphism for Python."
  • ADT - Algebraic data types for Python
  • sumtypes - "Sum Types, aka Tagged Unions, for Python".
  • python-mini-lambda - "Simple Lambda functions without lambda x: and with string conversion capability"
  • slist - "A drop-in replacement for the python mutable list. But with much more methods for typesafe method chaining."
  • Orinoco - "Functional composable pipelines allowing clean separation of the business logic and its implementation"
  • py-frm - "Proof-of-concept Functional-Relational Mapping (FRM) for Python"

• Languages

  • Hy - "A dialect of Lisp that's embedded in Python".
  • Coconut - "Simple, elegant, Pythonic functional programming".
  • (How to Write a (Lisp) Interpreter (in Python)) - a couple of famous articles by Peter Norvig.
  • Basilisp - "A Clojure-compatible(-ish) Lisp dialect targeting Python 3.8+".
  • pixie - "A lightweight and native lisp built in RPython". ([Discussion on HN](https://news.ycombinator.com/item?id=13420092))
  • Mochi - "A dynamically typed programming language for functional programming and actor-style programming.".
  • Hy - "A dialect of Lisp that's embedded in Python".
  • Coconut - "Simple, elegant, Pythonic functional programming".
  • Arza - "Arza is a functional programming language that compiles to Python. It is a statically typed language with type inference and type classes."
  • (How to Write a (Lisp) Interpreter (in Python)) - a couple of famous articles by Peter Norvig.
  • dg (aka dogelang) - "A programming language that compiles to CPython bytecode, much like Scala compiles to JVM's. That essentially means that dg is an alternative syntax for Python 3."
  • Pycket - "A rudimentary Racket implementation using RPython".
  • More languages that compile to Python

• Official documentation

  • Functional Programming HOWTO - "In this document, we’ll take a tour of Python’s features suitable for implementing programs in a functional style".