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AuthorAlvin Alexander

Save time and trouble building object-oriented, functional, and concurrent applications with Scala. The latest edition of this comprehensive cookbook is packed with more than 250 ready-to-use recipes and 1,000 code examples to help you solve the most common problems when working with Scala 3 and its popular libraries. Scala changes the way you think about programming--and that's a good thing. Whether you're working on web, big data, or distributed applications, this cookbook provides recipes based on real-world scenarios for both experienced Scala developers and programmers just learning to use this JVM language. Author Alvin Alexander includes practical solutions from his experience using Scala for component-based, highly scalable applications that support concurrency and distribution. Recipes cover: • Strings, numbers, and control structures • Classes, methods, objects, traits, packaging, and imports • Functional programming techniques • Scala's wealth of collections classes and methods • Building and publishing Scala applications with sbt • Actors and concurrency with Scala Future and Akka Typed • Popular libraries, including Spark, Scala.js, Play Framework, and GraalVM • Types, such as variance, givens, intersections, and unions • Best practices, including pattern matching, modules, and functional error handling

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【One-Line Pitch】 A problem-first recipe collection for writing real Scala 3 code, from string handling and collections to concurrency and type-level design. Best for working developers who already know another language and want solutions they can adapt today, not a from-scratch tutorial. 【Book Arc】 - **Opening (~0%–10%)**: Sets the cookbook contract—250+ recipes, 1,000+ examples—and starts with command-line tasks, inspecting compiled bytecode with `javap`, and everyday string work like multiline strings and regex matching. - **Early (~10%–30%)**: Core language mechanics: numbers and dates (including `BigDecimal` precision traps), control structures, `for/yield` comprehensions, pattern matching, and functional error handling with `Option`, `Try`, and `Either`. - **Middle (~30%–50%)**: Object-oriented domain modeling: classes, constructor parameters, access modifiers, traits and enums, objects, companion objects, `apply`/`unapply`, and extractors for match expressions. - **Late (~50%–80%)**: Functional programming techniques, the collections library, and building/publishing with sbt—the excerpts do not cover these chapters in detail. - **Ending (~80%–100%)**: Concurrency with `Future` and Akka Typed, plus ecosystem libraries (Spark, Scala.js, Play, GraalVM) and advanced types such as variance, givens, intersections, and unions—again, excerpts do not cover these directly. 【Key Takeaways】 - **It is a cookbook, not a tutorial** (Opening): Each recipe is framed as Problem → Solution → Discussion, so you can jump straight to the task at hand rather than reading linearly. - **Scala 3 is the target** (Opening): The book explicitly covers Scala 3, including newer features like parameterized traits and given/union/intersection types, so older Scala 2 advice may not transfer cleanly. - **Precision matters with numbers** (Early): `Double` arithmetic produces artifacts like `0.10 + 0.20 = 0.30000000000000004`; the book recommends `BigDecimal` with string constructors for monetary work. - **Prefer values over exceptions** (Early): The "Scala way" is to return `Option`, `Try/Success/Failure`, or `Either/Right/Left` instead of throwing, because `Try` and `Either` preserve failure messages that `Option` discards. - **Comprehensions are the idiomatic loop** (Early): `for/yield` builds new collections from existing ones and is the preferred alternative to imperative loops for mapping and filtering. - **Pattern matching is a first-class design tool** (Early–Middle): It appears in control flow, exception handling, and—via `unapply`—as a way to make your own classes deconstructible in `match` expressions. - **Companion objects carry the static side** (Middle): `apply` methods act as factory constructors, and `unapply` methods turn classes into extractors; case classes generate this machinery automatically. - **Traits are the primary composition unit** (Middle): With Scala 3 allowing trait parameters, the choice between traits and abstract classes hinges on multiple inheritance versus single-extends constraints. 【Reading Tips】 - **Skim the opening chapters if you are experienced**: String and number recipes are quick reference material; deep-read the `BigDecimal`, date-parsing, and error-handling discussions where subtle bugs live. - **Deep-read the OOP and pattern-matching chapters**: The `apply`/`unapply`, companion object, and trait conflict-resolution recipes are the conceptual core that later functional and concurrency chapters build on. - **Treat it as a lookup book**: When you hit a concrete problem—splitting a CSV line, parsing a date format, resolving a trait member conflict—go to the relevant recipe rather than reading cover to cover. - **Watch for Scala 2 vs. Scala 3 differences**: The book notes that package objects are deprecated after Scala 3.0; be alert to similar migration notes when adapting older code. - **Follow the "See Also" cross-references**: Recipes deliberately point to related recipes (e.g., case class internals, factory patterns), which is where the book's coherence actually lives. 【Coverage Limits】 The excerpts sampled here concentrate on the opening through middle chapters (strings, numbers, control structures, classes, traits, objects); the functional programming, collections, sbt, concurrency, and library chapters are named in the table of contents but not covered in detail, so this guide's later-arc claims rest on the book's own summary rather than sampled content.
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ing solutions to the most common problems you’ll encounter. • The book covers not only the Scala language but also recipes on Scala tools and libraries, incl...
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("2020/12/10") // java.time.format.DateTimeParseException To accept a string in a different format, create a formatter for the desired pattern: import java.t...
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y can mix in multiple traits), the question comes up, “When should I use abstract classes?” The general answer is “rarely.” A more specific answer is: • When...
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deconstruct a person instance: val personAsAString = Person.unapply(p) // "Lori, 33" As shown, unapply deconstructs the Person instance it’s given into a Str...
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ue c is called a partially applied function. It’s partially applied because the cos method requires one argument, which you haven’t yet supplied. Now that yo...
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r than this behavior, a LazyList behaves similar to a List. For instance, just like a List can be constructed with ::, a LazyList can be construc‐ ted with t...
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List(1, 2, 1, 2) val c = b.diff(a) // c: List(5, 6, 5, 6) The Scaladoc for the diff method states that it returns “a new list which contains all elements of...
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Excerpt 8
known to exist def getListOfFiles(dir: File): Seq[String] = dir.listFiles .filter(_.isFile) // list only files .map(_.getName) .toList This algorithm does th...
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Programming LanguageScalaFunctional Programming
ISBN: 1492051543
Publisher: O'Reilly Media
Publish Year: 2021
Language: English
Pages: 802
File Format: PDF
File Size: 10.5 MB
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