Despite the reinvigoration of Java and the introduction of Kotlin, Scala hasn't been sitting still. This third edition covers the new features in Scala 3. Programming Scala is ideal for beginning to advanced developers who want a complete understanding of Scala's design philosophy and features with a thoroughly practical focus. Program faster with Scala's succinct and flexible syntax Dive into basic and advanced functional programming FP techniques Build killer big data and distributed apps, using Scala's functional combinators and tools including Akka and Spark Use traits for mixin composition and pattern matching for data extraction Learn the sophisticated type system that combines functional programming and object-oriented programming concepts.
You'll learn why Scala is ideal for building today's highly scalable, data-centric applications while maximizing developer productivity. While Java remains popular and Kotlin has become popular, Scala hasn't been sitting still.
This third edition covers the new features in Scala 3 with updates throughout the book. Program faster with Scala's succinct and flexible syntax Dive into basic and advanced functional programming techniques Build killer big data and distributed apps using Scala's functional combinators and tools like Spark and Akka Create concise solutions to challenging design problems with the sophisticated type system, mixin composition with traits, pattern matching, and more.
Leverage Scala and Machine Learning to study and construct systems that can learn from data About This Book Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala Take your expertise in Scala programming to the next level by creating and customizing AI applications Experiment with different techniques and evaluate their benefits and limitations using real-world applications in a tutorial style Who This Book Is For If you're a data scientist or a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for you.
All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen interest in Big Data processing, and this book!
What You Will Learn Build dynamic workflows for scientific computing Leverage open source libraries to extract patterns from time series Write your own classification, clustering, or evolutionary algorithm Perform relative performance tuning and evaluation of Spark Master probabilistic models for sequential data Experiment with advanced techniques such as regularization and kernelization Dive into neural networks and some deep learning architecture Apply some basic multiarm-bandit algorithms Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to a technical analysis of financial markets In Detail The discovery of information through data clustering and classification is becoming a key differentiator for competitive organizations.
Machine learning applications are everywhere, from self-driving cars, engineering design, logistics, manufacturing, and trading strategies, to detection of genetic anomalies.
The book is your one stop guide that introduces you to the functional capabilities of the Scala programming language that are critical to the creation of machine learning algorithms such as dependency injection and implicits. You start by learning data preprocessing and filtering techniques. Following this, you'll move on to unsupervised learning techniques such as clustering and dimension reduction, followed by probabilistic graphical models such as Naive Bayes, hidden Markov models and Monte Carlo inference.
Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, support vector machines, neural networks, and deep learning.
You'll move on to evolutionary computing, multibandit algorithms, and reinforcement learning. Finally, the book includes a comprehensive overview of parallel computing in Scala and Akka followed by a description of Apache Spark and its ML library. With updated codes based on the latest version of Scala and comprehensive examples, this book will ensure that you have more than just a solid fundamental knowledge in machine learning with Scala.
Style and approach This book is designed as a tutorial with hands-on exercises using technical analysis of financial markets and corporate data. The approach of each chapter is such that it allows you to understand key concepts easily. Praise for the first edition: "The well-written, comprehensive book The pace is appropriate for beginners; programming concepts are introduced progressively through a range of examples and then used as tools for building applications in various domains, including sophisticated data structures and algorithms Highly recommended.
Fully revised and expanded, the new edition of this popular text has been divided into two books. The Scala programming language provides powerful constructs for expressing both object orientation and abstraction. This book provides students with these tools of object orientation to help them structure solutions to larger, more complex problems, and to expand on their knowledge of abstraction so that they can make their code more powerful and flexible.
The book also illustrates key concepts through the creation of data structures, showing how data structures can be written, and the strengths and weaknesses of each one. Libraries that provide the functionality needed to do real programming are also explored in the text, including GUIs, multithreading, and networking.
The book is filled with end-of-chapter projects and exercises, and the authors have also posted a number of different supplements on the book website.
Video lectures for each chapter in the book are also available on YouTube. The videos show construction of code from the ground up and this type of "live coding" is invaluable for learning to program, as it allows students into the mind of a more experienced programmer, where they can see the thought processes associated with the development of the code.
He teaches a number of different courses, spanning from first semester introductory courses to advanced seminars. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons.?
Lisa Lacher is an Assistant Professor at the University of Houston, Clear Lake with over 25 years of professional software development experience.
She teaches a number of different courses spanning from first semester introductory courses to graduate level courses. His research interests included simulations and modeling, programming languages, and numerical modeling of rings around planets with nearby moons.
Learn functional data structures and algorithms for your applications and bring their benefits to your work now About This Book Moving from object-oriented programming to functional programming? This book will help you get started with functional programming. Easy-to-understand explanations of practical topics will help you get started with functional data structures. Illustrative diagrams to explain the algorithms in detail. Get hands-on practice of Scala to get the most out of functional programming.
Who This Book Is For This book is for those who have some experience in functional programming languages. The data structures in this book are primarily written in Scala, however implementing the algorithms in other functional languages should be straight forward. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying.
Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency.
With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit.
Immutability is a cornerstone of functional programming. What You Will Learn Learn to think in the functional paradigm Understand common data structures and the associated algorithms, as well as the context in which they are commonly used Take a look at the runtime and space complexities with the O notation See how ADTs are implemented in a functional setting Explore the basic theme of immutability and persistent data structures Find out how the internal algorithms are redesigned to exploit structural sharing, so that the persistent data structures perform well, avoiding needless copying.
Get to know functional features like lazy evaluation and recursion used to implement efficient algorithms Gain Scala best practices and idioms In Detail Functional data structures have the power to improve the codebase of an application and improve efficiency. With the advent of functional programming and with powerful functional languages such as Scala, Clojure and Elixir becoming part of important enterprise applications, functional data structures have gained an important place in the developer toolkit.
Immutability is a cornerstone of functional programming. Immutable and persistent data structures are thread safe by definition and hence very appealing for writing robust concurrent programs. How do we express traditional algorithms in functional setting? Won't we end up copying too much? Do we trade performance for versioned data structures?
This book attempts to answer these questions by looking at functional implementations of traditional algorithms. It begins with a refresher and consolidation of what functional programming is all about. Next, you'll get to know about Lists, the work horse data type for most functional languages. We show what structural sharing means and how it helps to make immutable data structures efficient and practical.
Scala is the primary implementation languages for most of the examples. At times, we also present Clojure snippets to illustrate the underlying fundamental theme. While writing code, we use ADTs abstract data types.
You will see how these ADTs are implemented in a functional setting. We look at implementation techniques like amortization and lazy evaluation to ensure efficiency.
By the end of the book, you will be able to write efficient functional data structures and algorithms for your applications. Style and approach Step-by-step topics will help you get started with functional programming. Learn by doing with hands-on code snippets that give you practical experience of the subject.
Author : Cliff B. The author teaches the skill of writing semantic descriptions as an efficient way to understand the features of a language. While a compiler or an interpreter offers a form of formal description of a language, it is not something that can be used as a basis for reasoning about that language nor can it serve as a definition of a programming language itself since this must allow a range of implementations. By writing a formal semantics of a language a designer can yield a far shorter description and tease out, analyse and record design choices.
Early in the book the author introduces a simple notation, a meta-language, used to record descriptions of the semantics of languages.
In a practical approach, he considers dozens of issues that arise in current programming languages and the key techniques that must be mastered in order to write the required formal semantic descriptions. The book concludes with a discussion of the eight key challenges: delimiting a language concrete representation , delimiting the abstract content of a language, recording semantics deterministic languages , operational semantics non-determinism , context dependency, modelling sharing, modelling concurrency, and modelling exits.
The content is class-tested and suitable for final-year undergraduate and postgraduate courses. It is also suitable for any designer who wants to understand languages at a deep level. Most chapters offer projects, some of these quite advanced exercises that ask for complete descriptions of languages, and the book is supported throughout with pointers to further reading and resources.
As a prerequisite the reader should know at least one imperative high-level language and have some knowledge of discrete mathematics notation for logic and set theory. Without the baggage of legacy frameworks and virtual machines, Scala Native lets you re-imagine how your programs interact with your operating system. Compile Scala code down to native machine instructions; seamlessly invoke operating system APIs for low-level networking and IO; control pointers, arrays, and other memory management techniques for extreme performance; and enjoy instant start-up times.
Skip the JVM and improve your code performance by getting close to the metal. Developers generally build systems on top of the work of those who came before, accumulating layer upon layer of abstraction. Scala Native provides a rare opportunity to remove layers. It starts up fast, without the sluggish warm-up phase that's common for just-in-time compilers.
And Scala Native lets you control pointers, arrays, and other memory layout types for extreme performance. Write practical, bare-metal code with Scala Native, step by step. Understand the foundations of systems programming, including pointers, arrays, strings, and memory management. Put all the pieces together to design and implement a modern, asynchronous microservice-style HTTP framework from scratch. Take advantage of Scala Native's clean, modern syntax to write lean, high-performance code without the JVM.
All code examples in the book are designed to run on a portable Docker-based build environment that runs anywhere. If you don't have Docker yet, see the Appendix for instructions on how to get it. Author : Claudia Alves Publisher: ISBN: Category: Page: View: Read Now » Scala programming is a general-purpose computer language that supports both object-oriented and functional styles of programming on a larger scale.
Scala is a strong static type of programming language and is influenced by the Java programming language. One of the best similarities of Scala and Java is that you can code Scala just the same way that you code Java.
It is also possible to use a lot of Java libraries within Scala along with many of its third-party libraries. Scala has become one of the most in-demand technology among developers and is working its way through today's technology.
NET Framework. The code written in Scala is easier to test and reuse; the parallelization becomes simpler, and there are lesser bugs in the whole program. Scala programming follows a top-down approach; each of the programs is broken down into multiple chunks and each can be processed in parallel thus speeding up the process and also improving the efficiency.
Author : Darren J. Learning about Fp was my main goal, but i also got acquainted with some nice Scala surprises like case classes and pattern matching. Scala is an intriguing language and this book covers it well There's always a fine line to walk in a language introduction book between giving too much or not enough information i find programming in Scala to achieve a perfect balance Jeff heon Programmer analyst i bought an early electronic version of the programming in Scala book by odersky, spoon, and Venners, and I was immediately a fan.
In addition to the fact that it contains the most comprehensive information about the language there are a few key features of the electronic format that impressed me I have never seen links used as well in a PDF, not just for bookmarkS, but also providing active links from the table of contents and index i don t know why more authors don t use this feature because it's really a joy for the reader. I cant fine the PDF in the first link.
I'm good with java but very very poor with DS and DS is required in all the good companies so I need your feedback. I can't believe you exist until i found you. Thanks a lot for shaping my java and DS.
Do more! Scala is an object-oriented programming language for the Java Virtual Machine. In addition to being object-oriented, Scala is also a functional language, and combines the best approaches to OO and functional programming. This book is the authoritative tutorial on the Scala programming language, co-written by the language's designer, Martin Odersky. In Italian, Scala means a stairway, or steps indeed, Scala lets you step up to a programming environment that incorporates some of the best recent thinking in programming language design while also letting you use all your existing Java code.
Artima is very pleased to publish a new edition of the best-selling book on Scala, written by the designer of the language, Martin Odersky. Hello to the readers!!! Along with the development of an increasingly advanced and rapidly, as well as developments in the field of information technology, Demands every individual human to more easily get what they want easily, effectively, and efficiently.
The development of information technology also requires all things that smell of manualization to be digitized, Just as it is PDF Schaum's Easy Outline of Programming with Java Schaum's Easy Outlines Download we are now in a modern era, no need to borrow, buy, or carry heavy books.
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