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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 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.
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.
In this episode of the Kodeco podcast, hosts Dru Freeman and Susannah Skyer Gupta delve into native platforms and the implications of cross-platform development. Joined by experts Darryl Bayliss and Fuad Kamal, they discuss the sunset of Xamarin. Listen now!
Creating a performant network enabled app is easier than ever in modern Android development. This article covers some of the fundamental aspects of using coroutines while also introducing a new Kodeco course, “Concurrency & Networking in Android”.
This module explores the fundamental principles of persistent data storage in SwiftUI-based iOS applications, guiding participants in creating seamless user experiences. Covering diverse data persistence techniques, it equips learners with the skills to enhance iOS applications by effectively managing and utilizing data.