boring-makefile
fp-ts
boring-makefile | fp-ts | |
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2 | 97 | |
0 | 10,513 | |
- | - | |
10.0 | 7.0 | |
about 8 years ago | about 2 months ago | |
Makefile | TypeScript | |
MIT License | MIT License |
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boring-makefile
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How to Structure C Projects: These Best Practices Worked for Me
The tests look much like https://github.com/JonChesterfield/EvilUnit/blob/master/evil.... That's from the self tests for the test framework. It's closely modelled on catch2. Name is because I built the thing out of preprocessor macros to run on freestanding c89.
The projects using code generation in that fashion are proprietary. There's a makefile at https://github.com/JonChesterfield/boring-makefile/blob/mast... set up to do the src/gen/obj codegen by default structure.
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John Carmack on Functional Programming in C++ (2018)
I've been coding like that since at least 2016[1]. The trick is to make adding code generators as easy as adding source code. Not a game engine in my case, though there's a CppCon talk from 2014 which makes a passing reference to using code generators with C++ instead of templates for one.
Assume source is src/.c and compiled to obj/.o, then introduce a third directory called gen. Change the makefile rule to copy .c from src to gen, and compile from gen to obj. Then add a makefile rule that says gen/foo.c can be built from src/foo.c.py by calling python on the source and redirecting stout.
That means a C source file can be turned into a python program that generates the same source by wrapping it in a string literal, calling print and renaming the source file. No build system change. Then change the python as you see fit to work around the limitations of C.
Works really well for a solo developer. Repo using this scheme is ~100 generated files (mostly lua, some python) vs ~600 C files. Plus ~20 C++ and one D, just getting started with that language.
[1] https://github.com/JonChesterfield/boring-makefile/blob/mast...
fp-ts
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From a Lorry Driver to Ruby on Rails Developer at 38
I think it’s great that functional programming is making its way into traditional imperative languages - even JavaScript (I recently came across https://gcanti.github.io/fp-ts/ as a pretty extreme example)
Elixir/Erlang has function-level pattern matching, which I really like. I’ve yet to see it anywhere else, though my understanding is it came from Prolog.
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Type-Safe Printf() in TypeScript
While I certainly agree, I've found that this is often an indication of too-complex an architecture, and a fundamental re-think being necessary. I've had projects that depend on [fp-ts], which end up incredibly generic-heavy, but still make it entirely through a typecheck(not build- typescript's just worse at that than other tools like esbuild) in seconds-at-worse.
Obviously depends on your organization/project/application, but I do like these things as complexity-smells.
[fp-ts]: https://gcanti.github.io/fp-ts/
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Introducing fp-utils a functional utility library for Deno / Node
Unlike more comprehensive functional libraries like fp-ts, each module can be imported and resolved separately. If you just need options, simply add the option module and you're good to go.
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Blog post: graphs and monads with Typescript
While it's quite abstract, I believe it may be useful to those of you who is interested to learn more about functional programming [in Typescript] and also get more intuition on diverse programming ideas. I use fp-ts as a functional programming library there.
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Functional Programming Library for Golang by IBM
The library for TypeScript that this is influenced by is here:
https://github.com/gcanti/fp-ts
Interesting how both languages with this library converge to a similar syntax, due to heavy use of functions.
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Is Scala worth learning in 2023?
Learn something that pays the bill first - nowadays it's Golang/Rust react/typescript. Then you can try some pure fp libs like fp-ts and fp-core.rs, and look through existing scala cats docs. If you'll feel bad about it - that's totally fine and expectable, fp takes a paradigm shift and not that many dev able to shift their brains way of thought due to basic psychological rigidity) (inability to change habits and to modify concepts/attitudes once developed). And that's purely a staffing and management issue - folks hired randoms out of the blue, and called 'em a team.
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Application Bootstrapping with fp-ts
fp-ts, a library that caters to functional programming in TypeScript, comes with some micro-abstractions that already solve a few of our needs.
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What are some strategies for ensuring correctness and fewer errors in dynamically typed languages?
Also, don't underestimate how powerful TypeScript can be in capable hands (namely Giulio Canti's). Check out fp-ts, for instance.
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Use Pure Functions to understand functional programming
You are able to type it using function overloads, an example can be found here - link, line 236.
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Error Handling Patterns
looks like more ergonomic/focused version of fp-ts[1]
[1] https://gcanti.github.io/fp-ts/
What are some alternatives?
Dynamics.NET - Extensions for runtime reflection and structural induction
effect - An ecosystem of tools to build robust applications in TypeScript.
john-carmack-plan-archive - Collection of John Carmack’s .plan files
ramda - :ram: Practical functional Javascript
Lombok - Very spicy additions to the Java programming language.
proposal-pattern-matching - Pattern matching syntax for ECMAScript
language-ext - C# functional language extensions - a base class library for functional programming
purescript - A strongly-typed language that compiles to JavaScript
HigherLogics.Algebra - Numerical and algebraic abstractions for .NET
io-ts - Runtime type system for IO decoding/encoding
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
immutable-js - Immutable persistent data collections for Javascript which increase efficiency and simplicity.