ixy-languages
swift
ixy-languages | swift | |
---|---|---|
30 | 215 | |
2,108 | 65,927 | |
0.0% | 0.4% | |
0.0 | 10.0 | |
over 1 year ago | 6 days ago | |
TeX | C++ | |
BSD 2-clause "Simplified" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ixy-languages
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The Garbage Collection Handbook, 2nd Edition
Not really, here it is winning hands down over Swift's ARC implementation.
https://github.com/ixy-languages/ixy-languages
- rust devs in a nutshell
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So what you doing for the weeknd
You laugh, but ... https://github.com/ixy-languages/ixy-languages
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Blog post: My perspective on RAII and memory management in C++ and Rust
GC'd languages are designed to leverage GCs, meaning they usually allocate a lot. Some of the more recent ones (C#, Go) have ways around it or to limit it, but in your average GC'd language you have to really bend yourself out of shape to limit allocations (IIRC the Ixy effort / study / thing never managed to make the Java hotpath allocation-free).
- “Rust is safe” is not some kind of absolute guarantee of code safety
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I wrote a database engine in Typescript
It's kind of funny when you see things like this project: https://github.com/ixy-languages/ixy-languages
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What are my prospects in web programming, if I don't like JS?
like not-even-in-the-same-ballpark faster. In this realworld example (userspace network drivers in managed languages) JS manages about 20-30% of native code performance, python iirc is below 1%
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Don’t call it a comeback: Why Java is still champ
- Support for generic-aware value types (struct vs. class) and low-level features like stackalloc: very valuable for high-performance scenarios and native FFI. See for instance https://github.com/ixy-languages/ixy-languages. In comparison, Java doesn't even have unsigned integers. Yes, Project Valhalla is coming someday.
As well, debatable to some folks, but: properties (get/set); operator overloading; LINQ > Java streams; extension methods; default parameters; collection initializers; tuples; nullable reference types; a dozen smaller features
- Reference Count, Don't Garbage Collect
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Why did you switch from another language to Rust? Do you regret not learning it earlier?
Very bottom of this file https://github.com/ixy-languages/ixy-languages/blob/master/Java-garbage-collectors.md
swift
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Evolving the Go Standard Library with math/rand/v2
This algorithm produces biased result with probability 1/2^(32-bitwidth(N)). Using 64 or 128 random bits can make the bias practically undetectable. Comprehensive overview of the approach can be found here: https://github.com/apple/swift/pull/39143
- Swift: Differentiable Programming Manifesto
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Embedded Swift on the Raspberry Pi Pico
Because of C/C++ interop, and integration with CMake, you can just add Swift to a Zephyr project and it pretty much Just Works. [The docs](https://github.com/apple/swift/blob/main/docs/EmbeddedSwift/...) should mostly apply to the Zephyr SDK as well.
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A Deep Dive Into Observation: A New Way to Boost SwiftUI Performance
Fortunately, the Observation framework is part of the Swift 5.9 standard library. We can learn more information by examining its source code.
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Swift was always going to be part of the OS
They do! See https://github.com/apple/swift/blob/main/docs/LibraryEvoluti...
You can also see an example of what a different high level language integration with Swift ABI looks like here: https://github.com/dotnet/designs/blob/main/proposed/swift-i...
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Differentiable Swift
So is differentiable Swift a package for Swift or is it part of the Swift standard library? The video says go to swift.org but I can't find any info about differentiable Swift on that site.
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
Swift's Differentiable Programming Manifesto. Swift has a powerful differentiable programming component, integrated with the compiler.
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Kotlin Multiplatform for Android and iOS Apps
You can do the same thing the other way around - https://github.com/apple/swift/blob/main/docs/Android.md.
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This isn’t the way to speed up Rust compile times
Codable (along with other derived conformances like Equatable, Hashable, and RawRepresentable) is indeed built in to the compiler[0], but unlike Serde, it operates during type-checking on a fully-constructed AST (with access to type information), manipulating the AST to insert code. Because it operates at a later stage of compilation and at a much higher level (with access to type information), the work necessary is significantly less.
With ongoing work for Swift macros, it may eventually be possible to rip this code out of the compiler and rewrite it as a macro, though it would need to be a semantic macro[1] rather a syntactic one, which isn't currently possible in Swift[2].
[0] https://github.com/apple/swift/blob/main/lib/Sema/DerivedCon...
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How does Swift implement primitive types in its standard library?
`Int` is a regular struct with a single stored property of type `Builtin.Word` . But the latter is a magical compiler built-in. Source for integer types is generated from this template - https://github.com/apple/swift/blob/9da65ca0a15fdf341649c994b0a77ec3b71f2687/stdlib/public/core/IntegerTypes.swift.gyb
What are some alternatives?
ctl - The C Template Library
solidity - Solidity, the Smart Contract Programming Language
cats - Lightweight, modular, and extensible library for functional programming.
cpp-lazy - C++11/14/17/20 library for lazy evaluation
redgrep - ♥ Janusz Brzozowski
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
c-examples - Example C code
tree-sitter - An incremental parsing system for programming tools
iced_audio - An extension to the Iced GUI library with useful widgets for audio applications
hummingbird - Hummingbird compiles trained ML models into tensor computation for faster inference.
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
lobster - The Lobster Programming Language