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Tired of cloud-based AI services that compromise your privacy and rack up subscription costs? Discover how to run powerful language models directly on your own computer with Ollama. This comprehensive guide will show you how to unlock local AI capabilities, giving you complete control over your data and interactions—no internet connection required.
Learn Git! Chances are if you’re involved with software development you’ve heard of and have used Git at some point in your life. Version control systems are critical for any successful collaborative software project. Git is both simple to start using and accommodating for the most complex tasks with version control. Even seasoned Git users hit roadblocks on how to handle common situations. Git Apprentice is here to help! This book is the easiest and fastest way to get hands-on experience with using Git for version control of your projects. Who This Book Is For This book is for anyone who would like to leverage the power of version control with Git in their software development process. The book starts with a gentle introduction to Git. It then moves on to walk you through creating a new repository, cloning an existing one, merging in changes, and all of the bits in between. Topics Covered in Git Apprentice A Crash Course in Git: Learn how to get started with Git, the differences between platforms, and a quick overview of the typical Git workflow. Cloning a Repo: Discover how to clone a remote repo to your local machine, and what constitutes “forking” a repository. Git Log & History: You’ll discover the versatility of the git log command—displaying branches, graphs and even filtering the history. Creating a Repository: If you are starting a new project, and want to use Git for source control, you first need to create a new repository. And more! One thing you can count on: after reading this book, you’ll be well-prepared to use Git in your own software development workflow!
Explore advanced techniques to build robust data management solutions with SwiftData integrated with SwiftUI, and how to use it with CloudKit. Understand how interoperability works between SwiftData and Core Data, and learn some advanced data persistence techniques.
This module explores advanced SwiftUI features and techniques to build complex and visually appealing user interfaces. Students will learn about animation and transitions, building complex layouts, and how to integrate SwiftUI with UIKit to leverage existing code and UI components.
macOS Apprentice is a series of multi-chapter tutorials where you’ll learn about developing native macOS apps in Swift, using both SwiftUI — Apple’s newest user interface technology — and AppKit — the venerable UI framework. Along the way, you’ll learn several ways to execute Swift code and you’ll build two fully featured apps from scratch. If you’re new to macOS and Swift, or to programming in general, learning how to write an app can seem incredibly overwhelming. That’s why you need a guide that: Shows you how to write an app step-by-step. Uses tons of illustrations and screenshots to make everything clear. Guides you in a fun and easy-going manner. You’ll start at the very beginning. The first section assumes you have little to no knowledge of programming in Swift. It walks you through installing Xcode and then teaches you the basics of the Swift programming language. Along the way, you’ll explore several different ways to run Swift code, taking advantage of the fact that you’re developing natively on macOS. macOS Apprentice doesn’t cover every single feature of macOS; it focuses on the absolutely essential ones. Instead of just covering a list of features, macOS Apprentice does something much more important: It explains how all the building blocks fit together and what is involved in building real apps. You’re not going to create quick example programs that demonstrate how to accomplish a single feature. Instead, you’ll develop complete, fully-formed apps, while exploring many of the complexities and joys of programming macOS. How is this book different than macOS by Tutorials? Our other book on building apps for macOS, macOS by Tutorials, is designed for developers who have a solid background in iOS development and are looking to make the leap to developing native macOS apps. This book, macOS Apprentice, is designed to teach new developers how to build macOS apps while assuming they have little to no experience with Swift or any other part of the Apple development ecosystem.
This course is designed for intermediate iOS developers who want to take their SwiftUI skills to the next level by leveraging the power of Model-View-ViewModel (MVVM) architecture. Throughout this course, we will explore advanced SwiftUI concepts and techniques while building a solid foundation for clean and maintainable code using MVVM.
SwiftUI Apprentice is a series of epic-length tutorials where you’ll learn to build three complete apps from scratch, using Apple’s new user interface technology: SwiftUI! Each app is more advanced than the one before, and together, they cover everything to make your own apps using SwiftUI. By the end of the book, you’ll be experienced enough to turn your ideas into real apps you can sell on the App Store. These tutorials have easy to follow step-by-step instructions and consist of more than pages and illustrations! You also get full source code, image files, and other resources you can re-use for your own projects. If you’re new to iOS and Swift, or to programming in general, learning how to write an app can seem incredibly overwhelming. That’s why you need a guide that: Shows you how to write an app step-by-step. Uses tons of illustrations and screenshots to make everything clear. Guides you in a fun and easy-going manner. You’ll start at the very beginning. The first section assumes you have little to no knowledge of programming in Swift for iOS but still shows you how to build an entire fitness app from scratch using SwiftUI. SwiftUI Apprentice doesn’t cover every single feature of iOS; it focuses on the absolutely essential ones. Instead of just covering a list of features, SwiftUI Apprentice does something much more important: It explains how all the building blocks fit together and what is involved in building real apps. You’re not going to create quick example programs that demonstrate how to accomplish a single feature. Instead, you’ll develop complete, fully-formed apps, with beautiful, professionally-designed user interfaces, that are good enough to submit to the App Store! How is this book different than SwiftUI by Tutorials? Our other book on building apps with SwiftUI, SwiftUI by Tutorials, is designed for developers who have a solid background in iOS development and are looking to make the leap from building apps with UIKit, to building apps with SwiftUI. This book, SwiftUI Apprentice, is designed to teach new developers how to build iOS apps, using a SwiftUI-first approach. Its goal is to teach you fundamental development practices as you build out some fully-functional and great-looking apps!
Understanding how data structures and algorithms work in code is crucial for creating efficient and scalable apps and acing job interviews. Swift’s standard library and, more recently, the Swift Collections and Algorithms packages contain a robust set of general-purpose collection types and algorithms, yet they don’t cover every case! In Data Structures and Algorithms in Swift, you’ll learn how to implement the most popular and useful data structures and when and why you should use one particular data structure or algorithm over another. This set of basic data structures and algorithms will serve as an excellent foundation for building more complex and special-purpose constructs. The high-level expressiveness of Swift makes it an ideal choice for learning these core concepts without sacrificing performance. You’ll start with the fundamental structures of linked lists, queues and stacks, and see how to implement them in a highly Swift-like way. Move on to working with various types of trees, including general purpose trees, binary trees, AVL trees, binary search trees, and tries. Go beyond bubble and insertion sort with better-performing algorithms, including mergesort, radix sort, heap sort, and quicksort. Learn how to construct directed, non-directed and weighted graphs to represent many real-world models. Traverse those graphs and trees efficiently with breadth-first, depth-first, Dijkstra’s and Prim’s algorithms to solve problems such as finding the shortest path or lowest cost in a network. By the end of this book, you’ll have hands-on experience solving common issues with data structures and algorithms — and you’ll be well on your way to developing your own efficient and useful implementations!
For Complete Beginners! If you’re completely new to Swift and iOS development (or need a brush-up), this is the series for you. The UIKit Apprentice is a series of epic-length tutorials for beginners where you’ll learn how to build four complete apps from scratch. Each new app will be a little more advanced than the one before, and together they cover everything you need to know to make your own apps. By the end of the series you’ll be experienced enough to turn your ideas into real apps that you can sell on the App Store. These tutorials have easy to follow step-by-step instructions, and consist of more than 1,100 pages and 500 illustrations! You also get full source code, image files, and other resources you can re-use for your own projects. If you’re new to iOS and Swift, or to programming in general, learning how to write an app can seem incredibly overwhelming. That’s why you need a guide that: Shows you how to write an app step-by-step With tons of illustrations and screenshots to make everything clear In a fun and easygoing manner! We’ll start at the very beginning. The first tutorial assumes absolutely zero programming knowledge but still shows you how to build an entire game from scratch. The UIKit Apprentice series doesn’t cover every single feature of iOS – it just focuses on the absolutely essential ones that you need to know. Instead of just covering a list of features, the UIKit Apprentice series does something much more important: it explains how all the different building blocks fit together and what is involved in building real apps. You’re not going to create quick example programs that demonstrate how to accomplish a single feature. Instead, you’ll develop complete, fully-formed apps that are good enough to submit to the App Store!
Python is the lingua-franca of data science, machine learning and AI. This course will teach you enough Python, based on your pre-existing knowledge of other programming languages, so that you are well-prepared for a journey into learning AI programming. You'll discover the fundamentals of python syntax, learn how to manage programming environments, work with third-party libraries and handle file and networking operations. It is not meant to be an introduction to your first programming language, but if you have a reasonable understanding of any other programming language then this is your fast-track to proficiency in Python.
This course focuses on leveraging Azure’s high-level AI services to solve real-world business problems. You'll explore pre-built solutions for Retrieval-Augmented Generation (RAG), content moderation, and other Azure AI offerings, understanding their apps and trade-offs compared to custom-built solutions.
This course introduces you to cloud-based AI services, focusing on text generation, image processing, and audio analysis. You'll gain hands-on experience with leading platforms such as OpenAI and Google Gemini, learning to leverage these technologies for various AI apps.
This tutorial is for technically-minded creators looking to add visual polish to their projects without creating assets from scratch. It guides you through importing free assets from sites like Sketchfab and TurboSquid into Godot, with tips on handling the quirks of Godot’s import process. By the end, you’ll have set up a main menu scene for a horror game.
A well-crafted responsive UI makes sure your game looks and works perfectly on any screen. Godot Engine provides a range of settings and nodes that make it easy to create responsive UIs for your game. In this tutorial, you will learn how to use these settings and nodes to create responsive UIs.
This course delves into advanced AI app development using LangChain and LangGraph. You'll learn to create complex AI systems, including Retrieval-Augmented Generation (RAG) and AI Agents, while gaining insights into the integration of various AI services and tools.
Exporting your Godot project for Windows and Linux is a crucial step in sharing your game with the world. This tutorial walks you through the process, covering essential topics like export templates, preset configuration, and platform-specific settings. Learn how to navigate the export window, understand various options, and create distribution-ready builds for both Windows and Linux platforms. Whether you’re targeting Steam, itch.io, or direct distribution, this guide provides valuable insights to help you reach your audience effectively.
This course equips you with the skills to leverage Apple’s latest user experience (UX) advancements within your iOS apps. You’ll explore Writing Tools, a powerful suite for enhancing text input and editing. Dive into Genmoji, a brand new tool for creating custom emoji characters, adding a layer of personalization and expression to your apps. And unlock the power of Siri and App Intents with Apple Intelligence, enabling seamless voice interaction and context-aware functionality within your creations.
This course explores on-device machine learning using Apple’s powerful tools. See how simple the Vision framework makes complex computer vision tasks, enabling your app to understand the real world, through tasks like object detection and face recognition. Learn to leverage the Translation framework for on-device, real-time language translation, breaking down language barriers for your users. Before finally looking at how to develop your own machine learning models, by customizing Apple’s pre-built models for specific use cases within your apps.
This module explores the integration of ChatGPT into iOS apps, enabling powerful conversational AI capabilities. You'll learn to leverage the ChatGPT API to create dynamic, context-aware chatbots and intelligent assistants within their mobile apps.