Can you help me learn Haskell?

My OOP mind struggles every time I attempt to learn it 😢

fibs = 0 : 1 : zipWith (+) fibs (tail fibs)

I am a Software Engineer who mostly works with Python but used to work with C/C++ and Java a long time ago. Hope one day I will be able to understand Haskell (I have a dream to learn functional programming).

PEP 505 None-aware operators is a feature that I miss the most in Python.

I?.really?.want?.this?.feature ?? "Or not?"

If you are using FastAPI and use function return type annotation as response_model you should know - I am the one who implemented it 😄 (FastAPI #1436).

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI(title="Bio")


class Bio(BaseModel):
    name: str
    education: str
    languages: set[str]


@app.get("/me")
async def get_bio() -> Bio:
    return Bio(
        name="Yurii",
        education="Master's degree in Computer Engineering",
        languages={"Ukrainian", "English", "Polish", "German (a bit)"},
    )

Also, I have created fastapi-pagination package that helps you to paginate things (obviously) using FastAPI 📖. Another thing that I currently work on is fastapi-filters package. Hope one day it will be useful for someone as fastapi-pagination is 🍸.

I have several contributions to Python itself (commits). The most interesting one is (#23316 Store func annotations as a tuple). This optimization reduces memory footprint and improves performance of loading modules having many func annotations.

>>> sys.getsizeof({"a":"int","b":"int","return":"int"})
232
>>> sys.getsizeof(("a","int","b","int","return","int"))
88

The tuple is converted into dict on the fly when func.__annotations__ is accessed first.

I have created a plugin (pycharm-evaluate-async-code) for PyCharm that helps you evaluate async code the using Evaluate Expression window. This is really useful when you are debugging your code and want to check some async stuff. I guess it's my favorite project that I have ever done (because I used it every day and it really saved me a lot of time).