1. Coconut
Sandor aguilar

2. What is Coconut? Open source derivative of Python
Introduces friendlier functional programming to Python by adding built-in syntactical support
Compiles to Python
Unique in that it is Python version agnostic
Works ALMOST the same on any version of Python “

3. Why Coconut?
“… if you look at the top 20 most popular programming languages, not a single one is functional. But there are functional alternatives to a lot of them. Java has Scala. C# has F#. Python has ... nothing.” - Evan Hubinger, creator of Coconut

4. Pipeline and Lambdas Pipeline style programming Prettier Lambdas
“Hello, World!” |> print instead of print(“Hello, World!)
In Coconut for multiple argument: def sq(x) = x** (1, 2) |*> (+) |> sq |> print
In Python: import operator def sq(x): return x** print(sq(operator.add(1, 2)))
Prettier Lambdas
(x) -> x**2 instead of lamda x: x**2
In Python: map(lambda x: x * x, [0, 1, 2, 3, 4])
In Coconut: map(x -> x*x, [0, 1, 2, 3, 4]) |> list

5. Partial Application and Infix
Partial Application (i.e. currying)
In Coconut: range(5) |> map$((x) -> x*2) |> list produces [0, 2, 4, 6, 8]
In Python: import functools print(map(functools.partial(lambda x: x*2), range(5)))
Infix notation
def a `mod` b = a % b 5 ‘mod’ 3 == 2

6. Lazy Lists and Pattern Matching
In Coconut: (| range(100) |> list |)
In Python: Need to import python package
Destructing Assignment
{”list”: [0] + rest} = {“list”: [0, 1, 2, 3]}
rest = [1, 2, 3]
Pattern matching
match [head] + tail in [0, 1, 2, 3]: print(head, tail) produces [1, 2, 3] 0

7. And More Parallel programming Tail recursion optimization
range(10) |> parallel_map$( (**)$(2)) |> list produces [1, 2, 4, 8, 16, 32, 64, 128, 256, 512]
Tail recursion optimization

8. Further Information
Coconut Documentation:
Coconut Tutorial:
Coconut Github repository: