Swift for Data Science: A Practical Guide to Data Analysis on iOS and macOS

The book "Swift for Data Science" is the first practical guide in Russian that shatters the myth that Data Science is only possible with Python or R. You will learn how to leverage the power and performance of the Swift language for data analysis, machine learning, and visualization tasks within the Apple ecosystem.

The author, an experienced iOS developer and data specialist, demonstrates how Swift, thanks to its speed, type safety, and tight integration with Apple frameworks, becomes an excellent tool for data scientists working on macOS and creating iOS applications with ML features.

What you will learn from this book:

• Fundamentals of working with data in Swift: arrays, dictionaries, Set, and Collection.
• Using the Create ML framework to train models without writing complex code.
• Integrating pre-trained models via Core ML into iOS and macOS applications.
• Working with tabular data using TabularData (Apple's built-in framework).
• Data visualization using Swift Charts and third-party libraries (Charts, SwiftPlot).
• Natural Language Processing (NLP) in Swift with the NaturalLanguage framework.
• Numerical computing and linear algebra with Accelerate and Surge.
• Data collection: parsing JSON, CSV, working with APIs and databases (CoreData, Realm).
• Building end-to-end pipelines: from data loading to model deployment in production.

Who this book is for:

• iOS/macOS developers looking to add Data Science to their skill stack.
• Data scientists who want to try an alternative to Python and build native ML applications.
• Students and instructors of machine learning and data analysis courses.
• Technical managers and architects evaluating Swift as a tool for analytical projects.

The book contains numerous code examples ready for use in Xcode Playgrounds and real projects. You will learn not only to analyze data but also to embed machine learning models directly into apps for iPhone, iPad, and Mac, leveraging the advantages of Metal hardware acceleration and the Neural Engine.

Discover Swift as a platform for Data Science — fast, secure, and perfectly integrated with the Apple ecosystem.