Learn Scala 2021 – Best Scala courses & Best Scala books

Best Scala Courses 2021

 

Best Scala Books 2021

 

Best Scala Tutorials 2021

Apache Spark with Scala – Hands On with Big Data!

Analyzing “big data” is an interesting and very valuable skill – and this course will teach you about the most popular big data technology: Apache Spark. Employers like Amazon, EBay, NASA JPL, and Yahoo all use Spark to quickly extract meaning from big data on a fault-tolerant Hadoop cluster.
Learn the concepts of Spark’s resilient Datasets, DataFrames, and Distributed Datasets. You will:

Take a crash course in the Scala programming language

Quickly develop and run Spark jobs using Scala, IntelliJ, and SBT

Translate complex analysis problems into iterative or multi-step Spark scripts

Upgrade to Larger Data Sets Using Amazon’s Elastic MapReduce Service

Understand how Hadoop YARN distributes Spark across IT clusters

Practice using other Spark technologies, such as Spark SQL, DataFrames, DataSets, Spark Streaming, Machine Learning, and GraphX

By the end of this course, you’ll be running code that analyzes gigabytes of information – in the cloud – in minutes.

We’re going to have fun along the way. You’ll warm up with some easy examples of using Spark to analyze movie rating data and book text. Once you have the basics under your belt, we’ll move on to more complex and interesting tasks. We’ll use a million movie ratings to find movies that look alike, and you might even discover new movies that you might like in the process! We’ll analyze a social graph of superheroes, and find out who is the most “popular” superhero – and develop a system to find “degrees of separation” between superheroes. Are all Marvel superheroes within a few degrees of being connected to SpiderMan? You will find the answer.

This course is very practical; you will spend most of your time following up with the instructor as we write, analyze, and run real code together – both on your own system and in the cloud using Amazon’s Elastic MapReduce service. over 8 hours of video content is included, with over 20 real life examples of increasing complexity that you can create, run, and study on your own. Explore them at your own pace, on your own schedule. The course ends with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX.

You will learn:

Frame big data analytics issues as Apache Spark scripts
Develop distributed code using the Scala programming language
Optimizing Spark Jobs Through Partitioning, Caching, and Other Techniques
Create, deploy and run Spark scripts on Hadoop clusters
Process continuous streams of data with Spark Streaming
Transform structured data using SparkSQL, DataSets and DataFrames
Traverse and analyze graph structures using GraphX
Analyze a massive dataset with Machine Learning on Spark

Scala and Spark for Big Data and Machine Learning

Learn how to use some of the most valuable tech skills on the market today, Scala and Spark! In this course, we’ll show you how to use Scala and Spark to analyze big data. Scala and Spark are two of the most in-demand skills right now, and with this course you can learn them quickly and easily! This course comes with content:

Crash Course in Scala Programming
Presentation of the Spark and Big Data ecosystem
Using Spark’s MLlib for Machine Learning
Scale Spark Jobs Using Amazon Web Services
Learn how to use Databrick’s Big Data platform
This course comes with complete projects for you, including topics like Analyzing Financial Data or Using Machine Learning to Rank Ecommerce Customer Behavior! We teach the latest Spark 2.0 methodologies so you can learn how to use SparkSQL, Spark DataFrames, and Spark MLlib!
Use Scala for programming
Use Spark 2.0 DataFrames to read and manipulate data
Use Spark to process large data sets
Understand how to use Spark on AWS and DataBricks

Streaming Big Data with Spark Streaming & Scala – Hands On!

Spark Streaming is a new technology that is rapidly developing to process huge data sets as they are created – why wait for nightly scans to run when you can constantly update your analysis in real time, All the time? Whether it’s click-stream data from a large website, sensor data from a massive “Internet of Things” deployment, financial data, or something else – Spark Streaming is a powerful technology to transform and analyze this data as it is created, all the time.

Take a crash course in the Scala programming language

See how Apache Spark works on a cluster

Configure discretized streams with Spark Streaming and transform them as data is received

Use structured streaming to broadcast in real-time dataframes

Analyze data continuously on sliding time windows

Keep stateful information in data flows

Connect Spark Streaming to highly scalable data sources including Kafka, Flume, and Kinesis

Flush real-time data streams to NoSQL databases such as Cassandra

Execute SQL queries on data broadcast in real time

Train real-time machine learning models with streaming data and use it to make predictions that improve over time

Package, deploy, and run stand-alone Spark Streaming code on a real Hadoop user using Amazon Elastic MapReduce.

This course is very hands-on, filled with doable activities and exercises to reinforce your learning. By the end of this course, you will confidently create Spark Streaming scripts in Scala and be ready to tackle massive data streams in a whole new way. You will be surprised how easily Spark Streaming makes it!

You will learn:
Process massive data streams in real time using Spark Streaming
Integrate Spark Streaming with data sources including Kafka, Flume, and Kinesis
Use Spark 2’s structured streaming API
Create Spark applications using the Scala programming language
Output of transformed data in real time to Cassandra or file systems
Integrate Spark Streaming with Spark SQL to query streaming data in real time
Train machine learning models with streaming data and use these models for real-time predictions
Ingest Apache Access Log Data and Transform Streams
Receive real-time feeds from Twitter feeds
Keep stateful data on a continuous stream of input data
Query data continuously on sliding time windows

Best Scala books 2021

Programming in Scala Fourth Edition


Programming in Scala by Martin Odersky, Lex Spoon and Bill Venners is the definitive book on Scala, the popular language for the Java platform that combines functional and object-oriented programming concepts into a single powerful developer tool. This is the best Scala book in 2021. It is co-authored by the Scala language designer, will teach you, step by step, the Scala language and the ideas behind it.

The book is carefully designed to help you to learn. The first few chapters will give you enough of the basics so that you can start using Scala for simple tasks. The entire book is organized in such a way that every concept of scala builds on the concepts above – a series of steps that promise to help you master the Scala language and the important programming ideas that Scala represents. This fourth edition updates the entire book, adding new material to cover the changes in Scala 2.13, in particular the redesign of the collections. This issue covers these changes in detail, including:

New hierarchy of collection types
New types of concrete collection
New methods added to collections
New ways to define yours collection types
New simplified views

Scala for the Impatient (2nd Edition)


Scala for the Impatient by Cay S. Horstmann introduces the key Scala concepts and techniques you need to become good at Scala. This must read book provides a great introduction to the Scala language. It is particularly aimed at impatient readers who want to learn the fundamentals of Scala quickly and get started with Scala coding. Packed with Scala examples and hands-on activities to guide you through Scala beginner to Scala expert. This is one of the best Scala book for beginners in 2021.

This revised edition has been completely updated for Scala 2.12 and reflects current use of Scala. Includes additional coverage of recent Scala functionality, including string interpolation, dynamic invocation, implicit classes, and futures. Scala is a great language, but you can use it effectively without knowing all its details in depth. This title provides precisely the information you need to get started in compact, easy-to-understand blocks to become scala programmers. You will:Functional Programming in Scala

Get started quickly with Scala’s unique interpreter, syntax, tools, and idioms
Master the main features of the language: functions, tables, maps, tuples, packages, imports, exception handling, etc.
Get familiar with object-oriented programming in Scala: classes, inheritance, and traits
Use Scala for real programming tasks: using files, regular expressions and XML
Work with higher-order functions and the powerful Scala collection library
Take advantage of Scala’s powerful case classes and model matching
Create simultaneous programs with future Scala
Implement domain specific languages
Understanding the Scala type system
Apply advanced ‘power tools’ such as annotations, implicit, and type classes

Functional Programming in Scala


Functional Programming in Scala by Paul Chiusano and Rúnar Bjarnason will teach you advanced scala programming techniques. This great book will help readers from basic techniques to advanced topics in a logical, concise, and clear progression. It is packed with examples and exercises that open up the world of functional programming. This is probably the best books on scala in 2021. This programming scala book does not assume any prior functional programming experience. A little prior exposure to Scala or Java is helpful. This book includes:

Functional programming concepts
The whys and why of FP
How to write multi-core programs
Exercises and Comprehension Checks

Introduction to the Art of Programming Using Scala


Introduction to the Art of Programming Using Scala by Mark C. Lewis introduces many CS1 and CS2 concepts using a modern JVM language that works well for small programming and large programming.The book progresses from actual programming on small projects to larger projects later, making the most of the benefits of object orientation. Initially it focuses on solving fundamental problems and programming in the smallest ones using REPL and scripting environments. Covers basic logic and problem decomposition and explains how to use graphical and graphical interfaces in programs. The text then illustrates the benefits of object-oriented design and presents a large collection of basic data structures showing different key ADT implementations as well as more atypical data structures. It also features multiple threads and networks to provide other motivating examples. By using Scala as the language for CS1 and CS2 subjects, this manual provides students with easy entry into programming small projects, as well as a solid foundation for undertaking larger-scale projects.

Learning Scala: Practical Functional Programming for the JVM


Learning Scala Practical Functional Programming for the Java Virtual Machine by Jason Swartz provides a comprehensive but accessible introduction to the language, with syntax diagrams, examples, and exercises. You’ll start with the basic types and syntax of Scala before diving into higher-order functions and immutable data structures. Jason Swartz demonstrates why Scala’s concise and expressive syntax makes it an ideal language for Ruby or Python developers who want to improve as a scala programmer, while security and performance of its kind ensures that it is stable enough and fast for any Scala applications. You will:

Learn about the main data types, literals, values, and variables.
Learn to think and write in expressions, the foundation of Scala syntax
Write higher-order functions that accept or return other functions
Get familiar with immutable data structures and easily transform them with declarative and type-safe operations
Create custom infix operators to simplify existing operations or even start your own domain-specific language
Create classes that make up one or more features for complete reuse, or create new functionality by mixing them together during instantiation

Scala in Action: Covers Scala 2.10


Scala in Action Covers Scala 2.10 by Nilanjan Raychaudhuri is a complete Scala tutorial that presents the language through clear explanations and many practical examples. A “how-to” approach is needed, explaining language concepts while exploring familiar programming tasks. You’ll tackle concurrent programming in Akka, learn how to work with Scala and Spring, and learn how to create DSL and other productivity tools. You will learn the language and how to use it. Experienced programmers who have Experience with Java is helpful but not necessary. Ruby and Python programmers will also find this scala books for beginners accessible.

Scala Design Patterns: Design modular, clean, and scalable applications by applying proven design patterns in Scala, 2nd Edition


Scala Design Patterns by Ivan Nikolov begins by focusing on some of the newest and most exciting features in Scala while using practical, real-world examples. You will learn about the different features of Scala and can apply well-known and industry-proven design pattern to your Scala application. We will learn about IDE and aspect-oriented programming. We will examine different components of Scala. We will also cover the popular “Gang of Four” design patterns and show you how to incorporate functional language patterns effectively. The book ends with a practical example showing how the presented material can be combined in real applications. You will learn the concepts necessary to create professional applications. You’re going to:

Dive into industry standard design patterns – structural, creative, and behavioral – to create extraordinary applications.
Discover the power of strokes and their application in Scala
Implement abstract and automatic types and create your own design patterns
Create complex entity relationships using structural design models
Create applications faster by applying functional design patterns

Scala in Depth


Scala in Depth by Joshua D Suereth is a unique new book is a complete to help start learning Scala effectively into your development process. By showcasing best practices and emerging designs from the Scala community, it guides you through dozens of powerful techniques, for example. There’s little solid theory here, just dozens of neat, practical techniques for coding in Scala. Written for readers familiar with Java or are java programmers, Scala, or another Object oriented language. The book covers

Concise, expressive and readable code style
How to integrate Scala into your existing Java projects
Scala Collections API 2.8.0
How to use actors for simultaneous programming
Master the Scala type system
Scala OO features: type member inheritance, multiple inheritance and composition
Concepts and functional models: immutability, applicative functors and monads

Scala Cookbook: Recipes for Object-Oriented and Functional Programming

Sale
Scala Cookbook: Recipes for Object-Oriented and Functional Programming
  • Alexander, Alvin (Author)
  • English (Publication Language)
  • 722 Pages - 08/27/2013 (Publication Date) - O'Reilly Media (Publisher)

by Alvin Alexander will learning Scala with more than 250 ready-to-use Scala recipes and 700 Scala code examples. This comprehensive Scala book covers every concept the most common problems you’ll encounter in order of using Scala language, Object-Oriented, libraries, and tools. It is great for experienced Scala developers and beginner Scala developers in general. This is the best Scala questions and answers book.

As an Amazon Associate I earn from qualifying purchases.