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A curated list of awesome things related to functional programming in Python.

• Official documentation
• Books
• Talks
• Other resources
• Libraries
• Languages

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

• Functional Programming in Python by David Mertz (O'Reilly)

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

• Functional Programming with Python (slides), Alexey Kachayev, UA PYCon 2012.
• Purely Functional Programming in Python: Pure Fun (slides), Christopher Armstrong, PyTenessee 2015.
• Side Effects are a Public API (video), Christopher Armstrong, Strangeloop 2015
• Functional Programming with Python (video), Mike Müller, PyCon US 2013.
• Using Functional Programming for efficient Data Processing and Analysis (video), Reuben Cummings, PyCon US 2017.
• Immutable Programming Writing Functional Python (slides, video), Calen Pennington, PyCon 2017

• Functionalish programming in Python with effect (video), Robert Collins, NZ PyCon 2015.
• Monadic Parsing in Python (slides), Alexey Kachayev, KyivPy 2014.
• Immutability and Python - Introducing Pyrsistent (slides), Tobias Gustafsson, 2014.
• Understanding Transducers (slides, video), Austin Bingham, PyCon Belarus 2015.

• Functional Performance with Core Data Structures (video), Matthew Rocklin, PyData SV 2014.
• Old School - Functional Data Analysis (video), Matthew Rocklin, PyData NYC 2013.
• Learning Data Science Using Functional Python (video, slides), Joel Grus, PyData Seattle 2015.

• Functional Programming with Python, by Christopher Armstrong, O'Reilly.
• Functional Programming in 7 days, by Mohammed Kashif, Udemy.

• Origins of Python's "Functional" Features, Guido Van Rossum, 2009.
• A practical introduction to functional programming (with examples in Python), by Mary Rose Cook (year unknown).
• Immutable data structures in Python, Robert Rees, 2014.
• Understanding Transducers through Python, by Robert Smallshire. "In this 8 parts series we take an in-depth look at transducers. Transducers – a portmanteau of ‘transform reducers’ – are a new functional programming concept introduced into the Clojure programming language."
• Thinking Functionally with Python and Django at eShares Inc., Kyle Hanson, 2017.
• Simple dependent types in Python - Nikita Sobolev, 2019.
• Python exceptions considered an anti-pattern, Nikita Sobolev, 2019.
• Enforcing Single Responsibility Principle in Python - Nikita Sobolev, 2019.
• Typed functional Dependency Injection in Python - Nikita Sobolev, 2020.
• 4 Part Series on Functional Programming Techniques and Design In Python M. Kocher, 2019.

• Practical Functional Reactive Programming (PDF), John Peterson, Ken Roe, and Alan Cleary, 2014.

• Python Generators, Samuel Lampa, From talk at PySthlm meetup, Oct 2013

• fn.py ★3015 - "Functional programming in Python: implementation of missing features to enjoy FP" (unmaintained since 2014).
• toolz ★2752 - "A functional standard library for Python".
• funcy ★2324 - "A fancy and practical functional tools".
• PyFunctional ★1679 - "Python library for functional programming with collections in a data pipeline style".
• more-itertools ★1415 - "More routines for operating on iterables, beyond itertools".
• hask ★640 - "Haskell language features and standard libraries in pure Python".
• Pydash ★642 - "The kitchen sink of Python utility libraries for doing "stuff" in a functional way. Based on the Lo-Dash Javascript library".
• returns ★1189 - "Make your functions return something meaningful, typed, and safe!"
• OSlash ★501 - "Functors, Applicatives, And Monads in Python".
• Effect ★313 - "Effect isolation in Python, to facilitate more purely functional code".
• Underscore.py ★271 - "A Python port of excellent javascript library underscore.js".
• Phi ★110 - "A library that intends to remove as much of the pain as possible from your functional programming experience in Python."
• pyramda ★108 - "Python package supporting heavy functional programming through currying. Translation of the Ramda library from javascript to python".
• PyMonad - "a small library implementing monads and related data abstractions -- functors, applicative functors, and monoids -- for use in implementing functional style programs".
• pyMonet ★27 - "High abstract python library for functional programming. Contains algebraic data structures known from Haskell or Scala".
• pfun ★44 - "Pure functional programming in python".
• fnc ★63 - "Functional programming in Python with generators and other utilities".
• unpythonic ★17 - "Supercharge your Python with parts of Lisp and Haskell."

• Pyrsistent ★1370 - "Persistent/Immutable/Functional data structures for Python".
• Immutables ★702 - "An immutable mapping type for Python."
• Discodb ★87 - "An efficient, immutable, persistent mapping object".
• Funktown ★75 - "Immutable Data Structures for Python".
• Amino ★31 - "functional data structures and type classes".
• Pysistence - "Pysistence is a project that seeks to make functional programming in python easier".

• pampy ★3222 - "Pampy: The Pattern Matching for Python you always dreamed of."
• python-pattern-matching ★148 - "Python pattern matching like functional languages."
• patmat ★30 - "Functional-style recursive pattern matching in Python. Crazy stuff."

• Tranducers-Python ★183 - "Transducers are composable algorithmic transformations".
• Transducers ★45 - "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 ★3483 - "Reactive Extensions for Python".
• broqer ★58 - "Library to operate with continuous streams of data in a reactive style"

• chainable ★148 - "Method chaining built on generators".
• python-lenses ★142 - "A python lens library for manipulating deeply nested immutable structures".
• ADT ★91 - Algebraic data types for Python
• deal ★91 - "Design by contract for Python with many validators support."
• sumtypes ★33 - "Sum Types, aka Tagged Unions, for Python".
• python-mini-lambda ★6 - "Simple Lambda functions without lambda x: and with string conversion capability"

Functional programming languages that are not Python but are related to the Python ecosystem:

• Hy - "A dialect of Lisp that’s embedded in Python".
• Coconut - "Simple, elegant, Pythonic functional programming".
• Mochi ★902 - "A dynamically typed programming language for functional programming and actor-style programming.".
• Tydy ★45 - "Tydy is a statically typed, functional-first programming language in the ML tradition. tydy is an implementation of Tydy as a Python library."
• 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."
• pixie ★2247 - "A lightweight and native lisp built in RPython". (Discussion on HN)
• Pycket ★208 - "A rudimentary Racket implementation using RPython".
• (How to Write a (Lisp) Interpreter (in Python)) and (An ((Even Better) Lisp) Interpreter (in Python)) - a couple of famous articles by Peter Norvig.

More languages that compile to Python.