fn.py
effect
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fn.py | effect | |
---|---|---|
2 | 25 | |
3,320 | 3,801 | |
- | 14.2% | |
0.0 | 9.9 | |
over 1 year ago | 7 days ago | |
Python | TypeScript | |
Apache License 2.0 | MIT License |
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fn.py
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Functional programming beyond itertools
also check fn.py lib.
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Should python add a pipeline operator?
You can already do it with the fn library:
effect
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A better way to handle errors in JavaScript
Just use a library that already contains this and more functional programming idioms, like fp-ts or its successor, Effect [0]. It is a little more complex to learn but much more robust that simply implementing your own Result and other types.
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Building React Components Using Unions in TypeScript
effect-ts
- Alternatives to scala FP
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Functions vs. Procedures: Keep them separate.
But could we manage to achieve the same (avoid the same side-effect pollution), but entirely without handling it through the type system? Could we even manage to do it in JavaScript/TypeScript? Even without Haskell-ist wizardry like effect-ts?
- Javascript futures and Result monads belong together
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What DI framework are you using?
I inject services with https://github.com/Effect-TS/effect and Layers
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Introduction
I have chosen fp-ts since it is the tool I am the most familiar with but there are others out there, for example effect-ts.
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State of Scala.js frameworks
FYI there's a ZIO "port" for Typescript (https://github.com/Effect-TS/core) so if you want, you can still write pure FP code in frontend too. I haven't tried it yet though, I myself am a backend engineer and only play with frontend stuff for personal projects, when I've got some time.
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The case for TS+
// file: IO.ts export class IO { constructor(readonly io: () => A) {} } export const succeed = (a: A) => new IO(() => a); export const succeedWith = (a: () => A) => new IO(a); export function map(f: (a: A) => B): (self: IO) => IO { return (self: IO) => new IO(() => f(self.io())); } export function flatMap(f: (a: A) => IO): (self: IO) => IO { return (self) => new IO(() => f(self.io()).io()); } export function zip(b: IO): (self: IO) => IO<[A, B]> { return (self) => new IO(() => [self.io(), b.io()]); } export function run(self: IO) { return self.io(); } // file: Function.ts // omitted definition of pipe, long https://github.com/Effect-TS/core/blob/master/packages/system/src/Function/pipe.ts // file: USE.ts import * as IO from "./IO"; import { pipe } from "./Function"; export const program = pipe( IO.succeed(0), IO.map((n) => n + 1), IO.flatMap((r) => IO.succeedWith(() => { console.log(`result: ${r}`); }) ) ); IO.run(program);
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GraphQL error handling to the max with Typescript, codegen and fp-ts
In order to make our throwing and unsafe APIs into safe data fetching functions, we'll use data types and techniques from the Functional Programming paradigm. In particular, we'll use the fp-ts library (but you can choose the FP library of your choice, e.g. purify, effect, monio, and others).
What are some alternatives?
fp-ts - Functional programming in TypeScript
Toolz - A functional standard library for Python.
funcy - A fancy and practical functional tools
Pyrsistent - Persistent/Immutable/Functional data structures for Python
Coconut - Simple, elegant, Pythonic functional programming.
CyToolz - Cython implementation of Toolz: High performance functional utilities
effect - effect isolation in Python, to facilitate more purely functional code
returns - Make your functions return something meaningful, typed, and safe!
Deal - 🤝 Design by contract for Python. Write bug-free code. Add a few decorators, get static analysis and tests for free.
classes - Smart, pythonic, ad-hoc, typed polymorphism for Python
icontract - Design-by-contract in Python3 with informative violation messages and inheritance
contracts - An implementation of contracts for Python.