Vapor VS swift

Botter works in tandem with Vapor, which handles the server-side functions of your project. This powerful combination allows you to focus on what matters most - creating an engaging and effective chatbot.

// swift-tools-version: 5.8 // The swift-tools-version declares the minimum version of Swift required to build this package. import PackageDescription let package = Package( name: "MyServer", platforms: [.macOS("12.0")], products: [ // Products define the executables and libraries a package produces, and make them visible to other packages. .executable( name: "MyServer", targets: ["MyServer"]), ], dependencies: [ .package(url: "https://github.com/vapor/vapor.git", .upToNextMajor(from: "4.70.0")), // Dependencies declare other packages that this package depends on. // .package(url: /* package url */, from: "1.0.0"), ], targets: [ // Targets are the basic building blocks of a package. A target can define a module or a test suite. // Targets can depend on other targets in this package, and on products in packages this package depends on. .executableTarget( name: "MyServer", dependencies: [ .product(name: "Vapor", package: "vapor") ]), .testTarget( name: "MyServerTests", dependencies: ["MyServer"]), ] )

Otherwise there's https://github.com/vapor/vapor

The Swift/Vapor project is a relatively easy way to do it.

Opening this webpage (https://vapor.codes) cranks my CPU (5800x3d) to 100% instantly. Why?

Vapor is the most popular non-Apple-ecosystem Swift project. There have been a few others, but none particularly popular.

Server-side apps (typically via Vapor)

My first option other than PHP was using Swift and Vapor. I have made some projects with iOS and Objective-C, maybe I could also learn Swift and create both native iOS apps and backends with the same language.

StreamCam is written 100% in Swift, SwiftUI & Combine. The serverside is handled with Vapor.

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.

Fortunately, the Observation framework is part of the Swift 5.9 standard library. We can learn more information by examining its source code.

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...

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.

Swift's Differentiable Programming Manifesto. Swift has a powerful differentiable programming component, integrated with the compiler.

You can do the same thing the other way around - https://github.com/apple/swift/blob/main/docs/Android.md.

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...

`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