Overview
Why Learn Scala?
Scala is among the most popular programming languages and powers the code of several top websites around the world including Twitter, LinkedIn and The Guardian. This workshop gives you a comprehensive overview of the language and helps you dive deep into its concepts and fundamentals through a practical, hands-on tutorial.
Scala, as the blended name indicates, is a scalable language. Scala language is built on top of JVM(Java Virtual Machine) and offers all the features of an Object Oriented Programming(Oop). It has the expressive power of a dynamic programming language without compromising on type safety. Scala is described as a multi-paradigm programming language that can express common programming patterns in a concise, elegant, and type-safe way. Scala plays a significant role in Big Data, as the language is used to develop Apache Spark. According to Payscale, a salary tracking site for IT professions, the biggest winner, which delivers an average pay jump of 22.2 % is Scala, and the average salary of a Scala developer $137,863, depending upon the number of years of experience.
In a survey carried out in 2018 by Stack Overflow, 4.4% of the over 100,000 developers in the world used Scala and this number is increasing every day.
Benefits:
Scala runs on top of the JVM (Java Virtual Machine) and hence offers all the associated benefits like the Java libraries, administrative tools, garbage collection and much more. The language is more functional and faster compared to Java.
- The most significant benefit of learning Scala language is a big bolster to your paycheck.
- There is a significant demand for Scala programmers who are paid an average salary of $107,143 per annum
- You can land in one of these top companies if you are an advanced programmer in Scala
According to a survey by JetBrains, nearly 5% of software developers use Scala for their projects, and the number is expected to go up by another 4% in the future.
Organisations can also benefit using Scala for their programming needs.
- Scala language is an Open Source software, so there is no extra cost associated with obtaining the licenses
- People from all over the world contribute their research in the Scala community
- Scala is highly scalable, functional and faster than traditional Object-Oriented Languages
- Many top companies are using Scala with the Big Data application, Spark.
So, if object-oriented programming is your forte, and you desire a stable career in programming, Scala Training Program should be your ideal choice. Create frameworks for a variety of applications, and master Scala best practices to land the job of your choice.
What you Will learn
1. Introduction
Get introduced to Scala and learn about the new features of Scala; understand the types of Scala.
2. Functions
Defining a function, learn about polymorphic functions, higher order functions and recursion
3. Implicit & Type Classes
Types of implicit; recap the implicit scope resolution rules, and learn about type classes.
4. Testing in Scala
Understand situations where property-based testing is useful and formulate them to produce test data
5. Functional Programming
Learn about functions and high order functions. Also, learn about the usage of the collection library.
6. Pattern Matching
Learn about Pattern matching, its usage and benefits and learn about exceptions and tuples.
7. Built-in effects
Learn how the aspects like Option, Either, Try and future are covered by Scala's standard library.
Prerequisites
There are no such prerequisites that you need to meet in order to take up a Scala course. However, it is recommended to have some prior knowledge on programming language construct.
Who Should Attend
- Data scientists
- Data Engineers
- Analytics Professionals
- Developers & Testers
- Big data professionals
Knowledgehut Experience
Instructor-led Live Classroom
Interact with our expert instructors in real-time— listen, learn, question and apply.
Curriculum Designed by Experts
Stay globally relevant and empower yourself with the latest tools and training through our in-depth curriculum.
Learn through Doing
Learn theory backed by practical case studies, exercises and coding practice that will make you ready for the industry.
Mentored by Industry Leaders
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Advance from the Basics
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews by Professionals
Get reviews and feedback on your final projects from professional developers.
Curriculum
Learning Objectives:
Get introduced to Scala and learn about the new features of Scala; understand the types
- What is Scala?
- Origin of Scala
- Features of Scala
- Scala Collection Library
- Understanding types in Scala
- Ways to parameterize a type
- Kinds of types
- Using types to express domain constraints
Learning Objectives:
Look in detail at different flavors of defining a function. Apply the knowledge about types to make our functions polymorphic and of a higher order. Learn about recursion, tail recursion, and trampolining as important aspects of functional programming for the JVM.
- Ways to define a function
- Polymorphic functions
- Higher order functions
- Recursion
- Trampolining
- Object-oriented aspects of functions
Hands-on:
Implement a head-recursive function. Implement a tail-recursive function for factorial calculation. Implement a recursive function for factorial calculation using trampolining.
Learning Objectives:
Learn about different types of implicits and recap the implicit scope resolution rules. Learn about type classes, the central implementation mechanism that's utilized in modern functional programming libraries.
- Types of implicits
- Context bounds
- Type classes
- Type classes and recursive resolution
- Type class variance
- Implicit scope resolution rules
Hands-on:
Implement implicit conversions, implicit classes, and implicit parameters.
Learning Objectives:
Understand the situations in which property-based testing can be especially useful, and look at how the expected properties can be formulated and the test data can be produced.
- Scala testing ecosystem
- Introduction to Behavior Driven Development
- ScalaTest
- Concept of property-based testing
- Properties
- Generators
- Shrinkers
- Properties as laws
Hands-on:
- Define an invariant property for sorting a list.
- Define an idempotent property for sorting a list.
- Define an inductive property for sorting a list.
Learning Objectives:
Learn about functions and high order functions. Also, learn about the usage of collection library.
- Overview and usage collection library
- Immutability, persistent data structures and structural sharing
- Functions and high-order functions
Hands-on:
Use Immutability, persistent data structures and structural sharing.
Learning Objectives:
Revisit for loops and for expressions, learn about the differences and compose high order functions.
- For Loops
- For Expressions
- Difference between for loops and for expressions
- Composing high-order functions
Hands-on:
Implement for loops and for expressions.
Learning Objectives:
Learn about linearization, scala type system and traits.
- Scala type system
- Mix-in traits
- Linearization
Hands-on:
Mix-in traits in a class to use Linearization process.
Learning Objectives:
Learn about Pattern matching; exceptions, tuples.
- Usage and benefits
- Catch exceptions
- Deconstruct tuples
Hands-on:
Implement pattern matching by using exceptions and tuples.
Learning Objectives:
Learn how the mentioned aspects are covered by Scala's standard library.
- Foundations of encoding runtime aspects with types
- Option
- Either
- Try
- Future
Hands-on:
Explore built-in effects and the effects defined in the standard library, apply option, try, either and then future.
Scala FAQs
Scala Programming Language
Scala is a scalable, multi-paradigm programming language which supports Object-Oriented and functional programming with a strong static type system. Influenced by Java, anddesigned to be concise. The Scala language provides interoperability with Java and the libraries written in either languages can be referenced directly in Scala or Java code. It is even also possible to use a lot of Java libraries within Scala and most of its third-party libraries.
Scala is the most preferred language for Scalable distributed systems. One of the most prominent Big data tool it can be used with is Apache Spark. The functional programming aspect of scala makes it secure and simple to reason about error handling and propagation. It is also used to work with distributed platforms such as Play Framework and Akka. And in Analytics Scala is an ideal language to write mapreduce programs.
In the world of Software development Scala is considered generally as a high level language and has a reputation for being too complex for newcomers to the developer world. Currently standing at 12th place of the most demanded languages globally, Its inception was mainly aimed around overcoming the shortcomings of the Java language, with less restrictions and being less tedious. The result of this is a cleaner and well organized language with ease of use making it one of the more sought after language that organizations look for in developers.
Scala is one of the most consistent and coherent languages in the Industry. By learning Scala you gain access to a whole new set of tools to work with such as intellij, eclipse, sbt, scoverage, etc. With a growing need for Scala developers and with very few actually making the shift to learn Scala. It still remains a desirable skill set to have with Scala developers fetching an average salary of $110k+
For any Language’s developers they must decide on how to deal with changes in successive generations of code and a language which stagnates is not destined for the long term. But Scala has set itself apart by planning ahead of time on successive versions of its code with different compatibility and characteristics. A noteworthy thing about Scala developers is that they have worked on the various criticisms of the language and even if they cannot secure a Scala job, they will be well armed with a much better understanding of programming compared to what they get to learn from just Java.
Scala as a programming language can cater to a vast majority of tasks and bridges the gap between functional and oriented languages.
It specializes in Large analytics (Spark), Machine learning engines, Web applications and APIs with Play2, Data Streaming with AKKA and KAFKA, AWS Lambda functions, etc.
The most prominent reason for using Scala in the Big Data environment is cause of its concurrency support, which is the vital to parallelizing the processing of large data sets. In the Hadoop ecosystem such as Spark and Apache Kafka it’s the most preferred language to work with rivalling even established languages such as Java and Python.
Scala is the more widely used language when it comes to Apache Spark Spark which is an extension for Hadoop that performs tasks such like batch processing as well as real-time processing. And for every aspiring Data Science Engineer who is involved in gathering the data, storing it, and performing batch or real-time processing of data and optimizing it as an API Scala comes in very handy.
Scala is developed as an Object Oriented and functional programming language and when coding with Scala it’s similar to other scripting languages and Apache Spark is written in Scala. Although it is not mandatory to learn Scala to work with Spark being familiar with it does help in debugging, and contribute to Spark.
Prior to taking up Scala, having sound knowledge of programming concepts is essential. Although contrary to popular belief Java is not necessary to learn Scala but it does help to know basic JVM properties which are helpful for example type erasure, how classes work etc.
The best way to learn Scala is through practice, to do this one must start writing in Scala. There are also tons of books that one can refer to before doing this such as “Programming in Scala” by Bill Venners and Martin Odersk or “Functional Programming in Scala” by Paul Chiusano and Runar Bjarnason. You can enroll for Scala training with a live instructor who’ll be providing a hands on approach and training you can enroll yourself for it here.
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Data Architect.Faq
The Course
Scala is a very popular and in-demand language. Scala expertise is among the most sought after skills in the industry due to several reasons:
- It is difficult to master
- The demand for Scala developers far outweighs the supply.
- Scala is being widely adopted by businesses across industries and sectors
Scala developers are among the highest paid in the industry earning salaries of upto $104,590 annually. This is the perfect course for you to master Scala and become an expert in it.
Enrol now and get started on a brilliant career.
- You will be proficient in coding using Scala
- Have knowledge in object oriented basics
- Work with loops and expressions
- Deal with optional values
On completing the Scala 101 online training, you will learn:
- About the need for Scala and its uses
- All about the Scala syntax and object oriented principles
- Writing Scala programs and testing them
- About for loops, for expressions, inheritance and traits
- Pattern matching
There are no restrictions but participants would benefit if they have basic computer knowledge.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are object oriented programming and Scala experts who have years of industry experience.
Finance Related
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: http://www.knowledgehut.com/refund
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.
The Remote Experience
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements:
- Operating system such as Mac OS X, Windows or Linux
- A modern web browser such as FireFox, Chrome
- Internet Connection
Project
Project
Towards the end of the course, all participants will be required to work on a project to get hands-on familiarity with the concepts learnt. You will use Scala features and write code with full support from your mentors. This
project, which can also be a live industry project, will be reviewed by our instructors and industry experts.