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Xcode-Guide

Xcode Guide.
https://github.com/mikeroyal/Xcode-Guide

Last synced: 4 days ago
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Core ML Learning Resources
Swift Learning Resources
- Start Developing iOS Apps with Swift
- Swift - C.
- Xcode + Swift
- Swift 5.3 Basics
- Virtualization Framework
- Getting Started with LLDB
- Mac Catalyst - iOS - Human Interface Guidelines
- Amazon EC2 Mac Instances
- Swift Forums
- Swift Courses Online from Coursera
- Swift Courses Online from Udemy
- Learning Swift course from Codecademy
- Start Developing iOS Apps with Swift
- Google's Swift Style Guide
- Swift Evolution - visible enhancements to the Swift Programming Language.
- Swift GitHub
Objective-C Tools, Libraries, and Frameworks
- Infer - C, and C.
- Mantle
- Quick - driven development framework for Swift and Objective-C.
- Realm
- Nimbus
- Aspects - C and Swift.
- Hammerspoon
Swift Tools, Libraries, and Frameworks
- Mac Catalyst
- Vapor
- Hero
- Kingfisher - Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app.
- Perfect - facing and server-side applications.
- Alamofire
- Eureka
- Carthage
- ReactiveCocoa
Objective-C Learning Resources
- Objective-C - oriented capabilities and a dynamic runtime.
- Google's Objective-C Style Guide
- Objective C Courses on Coursera
- Objective-C online course on Udemy
- Objective-C for Swift Developers course by David Nutter
- Objective-C Essential Training on LinkedIn Learning
- Objective-C for Swift Developers on Udacity
- Apple Developer Forums
Core ML Tools, Libraries, and Frameworks
- Core ML tools
- Create ML
- TensorFlow - to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
- Keras - level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.
- PyTorch
- XGBoost
- LIBSVM - SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
- Scikit-Learn
- Apple Vision
Metal Learning Resources
- Metal - level API that provides a platform-optimized, low-overhead API for developing the latest 3D pro applications and amazing games using a rich shading language with tighter integration between graphics and compute programs. To help you do more while managing ever more complex shader code, Metal adds an unparalleled suite of advanced GPU debugging tools to help you realize the full potential of your graphics code.
- MetalKit
- Metal Shading Language Specification
- Using Metal Feature Set Tables
- Metal Performance Shaders
- Optimizing Performance with the GPU Counters Instrument
- Enabling Frame Capture
- Reducing the Memory Footprint of Metal Apps
- Metal Developer Tools for Windows
- Metal Sample code
- Metal plugin for TensorFlow
- Metal Developer discussions
- Apple Developer Documentation
Metal Tools, Libraries, and Frameworks
- MoltenVK
- Does it ARM? Apps that are reported to support Apple Silicon
- Apple Hypervisor - party kernel extensions. Hypervisor provides C APIs so you can interact with virtualization technologies in user space, without writing kernel extensions (KEXTs). As a result, the apps you create using this framework are suitable for distribution on the [Mac App Store](https://www.appstore.com/).
- Apple A-series - bit ARM-based system on a chip (SoC) used in their iPhones and iPads. Though, at WWDC 2020 it was announced that [Apple Silicon](https://developer.apple.com/documentation/apple_silicon) would [transition into Mac laptops](https://www.apple.com/newsroom/2020/06/apple-announces-mac-transition-to-apple-silicon/).
- Apple M1 Chip - core CPU and 8-core GPU), custom technologies, and great power efficiency. The M1 Chip is now availble for [Macbook Pro 13 with M1](https://www.apple.com/macbook-pro-13/), [Macbook Air 13 with M1](https://www.apple.com/macbook-air/), and [Mac Mini with M1](https://www.apple.com/mac-mini/).
- Apple
- Universal App Quick Start Program
- Writing ARM64 Code for Apple Platforms
- Porting Your macOS Apps to Apple Silicon
- Building a Universal macOS Binary
- Addressing Architectural Differences in Your macOS Code
- Porting Just-In-Time(JIT) Compilers to Apple Silicon
- Porting Your Audio Code to Apple Silicon
- Porting Your Metal Code to Apple Silicon
- Tuning Your Code’s Performance for Apple Silicon
- Learn how Rosetta translates executables and what Rosetta can’t translate
- Running Your iOS Apps on macOS
- Adapting iOS Code to Run in the macOS Environment
- Implementing Drivers, System Extensions, and Kexts
- Installing a Custom Kernel Extension
- Debugging a Custom Kernel Extension
- AppKit
- Apple Core Graphics Framework - level, lightweight 2D rendering with unmatched output fidelity.
- Paravirtualized Graphics Framework - accelerated graphics for macOS running in a virtual machine, hereafter known as the guest. The macOS operating system provides a graphics driver that runs inside the guest, communicating with the framework in the host operating system to take advantage of Metal-accelerated graphics.
- SwiftUI
- Apple Core Animation Framework
- Tensorflow_macOS - optimized version of TensorFlow and TensorFlow Addons for macOS 11.0+ accelerated using Apple's ML Compute framework.
- MoltenVK
- Apple Foundation Framework
- ARKit - reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.
- RealityKit - performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.
- Instruments - analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance.
- Xcode - based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.
- SceneKit - level 3D graphics framework that helps you create 3D animated scenes and effects in your iOS apps.
- Cocoapods - C used in Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project.
- Addressing Architectural Differences in Your macOS Code
- Porting Your Audio Code to Apple Silicon
- Porting Your Metal Code to Apple Silicon
- Implementing Drivers, System Extensions, and Kexts
- Apple
- UIKit - Touch and other types of input to your app, and the main run loop needed to manage interactions among the user, the system, and your app.
- AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.
Xcode Developer Platforms for Apps
- Apple
- Apple
- Apple
- Apple
- Apple
- Apple
- Apple
- Apple

Programming Languages

Swift 9 Objective-C 4 Shell 1 OCaml 1

Ecosyste.ms: Awesome

Xcode-Guide

Core ML Learning Resources

Swift Learning Resources

Objective-C Tools, Libraries, and Frameworks

Swift Tools, Libraries, and Frameworks

Objective-C Learning Resources

Core ML Tools, Libraries, and Frameworks

Metal Learning Resources

Metal Tools, Libraries, and Frameworks

Xcode Developer Platforms for Apps