
Discover why Scala is worth learning, its JVM-based syntax for objects and functions, and how to design, package, and deploy Scala apps with sbt, including concurrency and the actor model.
Explore how JVM languages such as Java, Scala, Groovy, and Clojure interoperate in a single project, and compare statically typed Scala with dynamic Groovy and Java.
Explore concurrent programming with functional languages using Scala and Akka, leveraging immutable case classes and pattern matching to enable asynchronous, non-blocking message passing in an actor system.
Explore functional programming with Scala, emphasizing immutable objects and case classes, and compare it to Java’s imperative style, while covering concurrency, non-blocking models, and declarative programming.
Explore Scala success stories with Akka, Spark, and Play Framework, and see how immutable, nonblocking actor models enable massively parallel web apps built with Scala and MVC.
Explore Scala success stories with Akka, Spark, and Play Framework, building a multi-module Spark app using immutable objects and functions, Spark context, and RDD patterns.
Explore two routes to set up a Scala development environment—the Scala IDE and the Scala REPL—using worksheets and the SBT console to test code, manage versions, and iterate quickly.
Learn to set up a Scala development environment with sbt, configure projects and repositories, manage transitive dependencies, and build a runtime jar with sbt plugins.
Set up a Scala development environment with Gradle in IntelliJ IDEA community edition. Configure Java home and path, enable the Scala plugin, and add the Scala library.
Explore Scala application packaging by building simple microservices with MQTT, using publisher and subscriber patterns, HiveMQ broker, and runtime build tools to test and deploy Scala code.
Explore statically typed Scala concepts, including type systems, type parameters, and generics, and see how compile-time checks, object-relational mapping with Slick, and traits enable abstraction and safe polymorphism.
Explore how Scala embodies object oriented programming with traits, companion objects, and case classes, enabling modular, composable, and immutable design for larger applications.
Explore Scala as a functional language, mastering no explicit return, pattern matching with match and case, tail-recursive patterns, higher-order functions, currying, and closures to reduce boilerplate.
Explore the Scala collections, including immutable and mutable lists, sets, maps, arrays, and views, and learn how traversable interfaces drive safe, concurrent data manipulation.
Learn how Scala higher-order types map, reduce, aggregate, and group data using predicates, lambdas, and parallel collections, with practical examples on sets and functional transformations.
Explore how Scala blends functional and object-oriented paradigms by implementing function types, closures, and the apply keyword to bind function behavior to objects.
Learn the Java memory model and Scala concurrency on the JVM, using threads, executors, and fork-join tasks to prevent race conditions with volatile, synchronized, and atomic constructs.
Explore how Scala extends Java concurrency by implementing software transactional memory and actors for optimistic, lock-free transactions, with commit barriers and countdown latches to coordinate parallel atomic blocks.
Explore functional reactive programming in Scala by building active systems that make web requests, use actors and futures for callbacks, and connect these to a Scala GUI.
Explore building Scala microservices with Akka in a modular, multi-module Gradle project. Create isolated services, configure embedded web servers, expose rest endpoints, and test cross-language JVM modules.
Develop Scala-based machine learning with Apache Spark by building a logistic regression model in the Spark shell, using pipelines, resilient distributed data sets, and training with labeled data.
Explore scaling deployment with Scala concurrency by building a concurrent zip pipeline using Akka actors to compress files in a deployment directory, enabling rapid cloud uploads and scalable deployment.
Explore Scala's type system, objects, functions, closures, and higher-order functions, plus concurrency with the siak framework and memory model. Package and deploy Scala apps on JVM with sbt or Gradle.
The constant need for smarter technology that learns and grows with you has become crucial, even when it comes to writing software code. This includes programming languages that understand and learn with you as you continue to write. Scala is one of the most impressive programming languages currently in the market.
In order to deal with the shortcomings of Java language and restrictions that did not give the developer to do what he wanted, Scala was invented by Martin Odersky in 2001. According to Scala website, the programming language allows developers to have the best of both worlds – object oriented programming and functional programming.
Scala is a pure-bred object-oriented language, where every value is an object and every operation is a method-call. Additionally, it is also a functional language, with features such as a general preference of immutability over mutation, first-class functions, and a library with efficient immutable data structures.
Scala source code is expected to be compiled to Java bytecode, allowing the code to run on a Java virtual machine. Additionally, Java libraries can directly be used in Scala coding, and vice versa. Similar to Java, Scala uses a curly-brace syntax reminiscent of the C programming language. However, it also incorporates aspects of other programming languages such as Standard ML, Haskell and Scheme.
Because of its flexible nature, Scala can be used for a wide range of tasks including writing small scripts to building large systems. Currently, it has been successfully incorporated for large mission critical systems by companies such as LinkedIn, Intel and Twitter.
With this many benefits, it is no wonder that Scala is currently one of the most demanded programming language that is used for developing. Its flexible nature and its ability to handle large amounts of data in real time, along with being concise and agile is making it a popular choice for open-source and Big Data projects.
Does Scala sound like the perfect solution for your developing needs? Well, look no further. All you need is this intensive course to learn all you need to know about Scala. Our course has been designed by experts to teach you not only the functionality of Scala, but also why you should use Scala, its benefits as well as the basic fundamentals. The course will also cover real world examples that can help you actually incorporate Scala in your daily developing.
Well what are you waiting for? Enroll in this course now and see why a lot of people are shifting from using just Java to Scala for all their programming needs.