Introduction to Scala Course (How To)
Offered By: Treehouse
Course Description
Overview
The name Scala derives from a combination of the words “scalable” and “language”. Scala is a functional programming language, which runs on top of the Java virtual machine and can use any Java class. Scala is well suited for distributed programming and big data. It is what Apache Spark is built in and can provide better performance when compared to Python and is much less verbose than Java. Whether you’re learning about functional programming or starting a career in big data, Scala is a great place to start.
What you'll learn
- Scala Basic Fundamentals
- Classes and Constructors
- Functions and Closures
Syllabus
Functional Programming with Scala
In this stage, you’ll learn about the basics of Scala. We will cover Scala’s origin and its use in some real world applications. In this stage we will learn how to build our first Scala app.
Chevron 7 steps-
Introducing Functional Programming
2:20
-
Hello, World!
2:22
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Our First Scala App
9:44
-
Classes and Constructors
8:59
-
Primary and Secondary Scala Class
2 questions
-
Inheritance and Traits
3:17
-
Functional Programming Review
9 questions
Scala Collections
Data structures are an important aspect of Scala. In Scala, these data structures or collections can range from mutable to immutable. Some of these collections are similar to ones in Java such as arrays and maps or Python such as lists and tuples. In this stage we will learn when to use one collection type versus another and how to implement them.
Chevron 7 steps-
Mutable vs. Immutable
1:37
-
Arrays and ArrayBuffers
10:04
-
List vs ListBuffer
6:27
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Arrays and Lists in Scala Review
5 questions
-
Maps and Tuples
9:01
-
Sets
4:32
-
Maps and Tuples in Scala
6 questions
Higher Order Functions
Congratulations, you know enough now to start diving into functional programming! In this stage we will discuss passing functions as parameters to other functions, useful higher order functions and currying, all key features of functional programming.
Chevron 7 steps-
Functions as Values
5:51
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Create an Anonymous Function
2 questions
-
Partially Applied Functions
5:16
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Higher Order Functions
7:48
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Function Parameters
5:12
-
Closures
2:36
-
Higher Order Functions Review
3 questions
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