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Author: Aleksei Sedunov

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Whole-book reading guide from stratified index samples; jump to passages in the text

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# Kotlin In-Depth [Vol. I]: A Comprehensive Guide to Modern Multi-Paradigm Language ## 【One-Line Pitch】 A thorough, hands-on introduction to Kotlin's core language features—from syntax and object-oriented programming to functional style, collections, and generics—ideal for Java developers and beginners who want to master Kotlin fundamentals before moving to advanced topics like coroutines or multiplatform development. ## 【Book Arc】 - **Opening (~0%–9%)**: Sets the stage with Kotlin's design philosophy—safety, conciseness, interoperability, and multiparadigm support—plus a tour of the ecosystem (Android, web, desktop, testing) and step-by-step project setup in IntelliJ IDEA and Eclipse. - **Early (~9%–25%)**: Dives into core syntax: variables, primitive types (integers, booleans), strings, arrays, and control structures (conditionals, loops, error handling), along with package-based code organization. - **Early–Middle (~25%–38%)**: Explores object-oriented programming: class creation and initialization, member access control, object declarations, property types, nullability, and then transitions into functional programming with higher-order functions, lambdas, inline functions, and extensions. - **Middle (~38%–47%)**: Covers special-purpose classes—data classes, enums, inline classes—and then class hierarchies: inheritance, abstract classes, interfaces, sealed classes, and delegation. - **Late (~47%–53%)**: Focuses on the Kotlin Standard Library's collection types (lists, sets, maps, sequences), their operations (filtering, transformation, ordering), plus file I/O and stream utilities. - **Ending (~53%+)**: Concludes with generics—type parameters, bounds, variance (declaration-site and use-site), star projections, and type aliases—to enable flexible, reusable code. ## 【Key Takeaways】 - **Kotlin prioritizes safety without sacrificing productivity** (Early): Type inference, nullable types, and smart casts reduce boilerplate and prevent common runtime errors like NullPointerException, striking a balance between Java's verbosity and stricter languages. - **Functional programming is a first-class citizen** (Early): Kotlin integrates functional types, lambdas, and immutability from the start, enabling expressive, concise code that Java only partially matches even after Java 8. - **Interoperability with Java is a core design goal** (Early): Existing Java code works seamlessly from Kotlin, and vice versa, with dedicated features to tune cross-language interaction—critical for adopting Kotlin incrementally in legacy projects. - **DSLs make Kotlin declarative and type-safe** (Early): Frameworks like Exposed (database) and kotlinx.html (HTML) leverage Kotlin's DSL capabilities, offering domain-specific syntax without sacrificing type safety or general-purpose power. - **Coroutines provide lightweight concurrency** (Middle): Suspendable computations enable async/await, actors, and channels, offering a scalable alternative to threads for server, mobile, and desktop apps—though detailed coverage is deferred to a later volume. - **Specialized classes solve specific problems elegantly** (Middle): Data classes simplify data holders with auto-generated methods, enums handle fixed instance sets, and inline classes create lightweight wrappers—each tailored to reduce boilerplate. - **Collections and I/O are deeply integrated** (Late): The standard library provides rich collection types (lists, sets, maps, sequences) with powerful operations like filtering, transformation, and ordering, plus utilities for file access and streams. - **Generics with variance enable flexible APIs** (Ending): Understanding type parameters, bounds, and variance (producer/consumer distinction) lets you design generic code that's both safe and adaptable, with star projections for unknown types. ## 【Reading Tips】 - **Skim Chapter 1 if you're already familiar with Kotlin's ecosystem**: The setup guides for IntelliJ and Eclipse are useful but not essential for learning syntax; focus on the design philosophy if you're new to the language. - **Deep-read Chapters 4–6 for OOP and functional concepts**: These form the heart of Kotlin's multiparadigm approach; pay special attention to nullability, extensions, and lambda with receivers, as they're used throughout later chapters. - **Practice with code examples as you go**: The book is example-driven; typing and running snippets, especially for collections and generics, will solidify understanding better than passive reading. - **Watch for cross-references to later chapters**: The book mentions coroutines, DSLs, and Android/web frameworks but defers details; don't get sidetracked—focus on fundamentals first. - **Use the chapter-end questions to test yourself**: Each chapter concludes with questions that reinforce key concepts; treat them as checkpoints before moving on. ## 【Coverage Limits】 This guide covers the book's first volume (fundamentals through generics) as presented in the sampled excerpts; advanced topics like coroutines, Java interoperability, Android, and web development are mentioned but not detailed here. ##
Excerpt 1
ed by him at Repro India Ltd, Mumbai Kotlin In-Depth, [Vol. I]: A Comprehensive Guide to Modern Multi-Paradigm Language Dedicated to Tatiana, my guiding ligh...
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ns Type aliases Conclusion Questions Kotlin In-Depth, [Vol. I]: A Comprehensive Guide to Modern Multi-Paradigm Language C HAPTER 1 Kotlin: Powerful and Pragm...
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in more detail as well as learn how to create our own DSLs. One more paradigm, namely, concurrent programming, entered the language with the introduction of...
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self, which helps it to stay up-to-date with Kotlin changes. For that reason, we recommend using it for your own projects and will employ it for the examples...
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main() is in fact a recent feature introduced in Kotlin 1.3. In earlier language versions, the only acceptable entry point was the one taking String<Array> a...
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we’ll discuss the issue of type nullability in more detail. We then call to Int() function on the result of readLine() call. toInt() is a method defined in t...
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ements, rather than expressions and do not return any value. This, in turn, means that in Kotlin you can’t form assignment chain similar to Java’s a = b = c....
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as you might’ve guessed, are float and double, respectively. The simplest form of a floating-point literal is a decimal number which consists of integer and...
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ISBN: 9389328586
Language: Other
File Format: EPUB
File Size: 4.7 MB