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Harish Masand

Learn Scala Programming From Scratch To Depth

From Simple program to Data Structures to OOPS and Functional Programming. Every thing covered with Hands on programming.

Taught in very simple english language so any once can follow the course easily.

No Prerequisites

Perfect start point to learn scala for Big Data Spark, Play, Scalatra, Lift, Sinatra, etc

About Scala: 

Read more

Learn Scala Programming From Scratch To Depth

From Simple program to Data Structures to OOPS and Functional Programming. Every thing covered with Hands on programming.

Taught in very simple english language so any once can follow the course easily.

No Prerequisites

Perfect start point to learn scala for Big Data Spark, Play, Scalatra, Lift, Sinatra, etc

About Scala: 

Scala is a versatile and powerful programming language that combines functional and object-oriented programming paradigms. Originally created by Martin Odersky and released in 2003, Scala has gained popularity for its concise, expressive syntax and its ability to seamlessly integrate with Java, making it a preferred choice for developers seeking a smooth transition from Java to a more modern language.

Scala's key features include strong static typing, immutability, and pattern matching, making it an excellent language for building robust and maintainable software. It offers a rich set of libraries and frameworks, particularly for web and data applications, with Play Framework and Akka being prominent examples.

One of Scala's standout features is its support for functional programming, which allows developers to write concise, elegant code that's easier to reason about. The language also supports concurrent and parallel programming through actors and futures.

Scala is a popular choice in industries such as finance, where performance, scalability, and maintainability are critical. Its versatility, compatibility with existing Java codebases, and active community make it a compelling language for a wide range of software development tasks.

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What's inside

Syllabus

Scala Indepth
Introduction to Data Engineering Career Path
Day 1 - Introduction to Scala
Day 2 - Scala Basics
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You can also download Intellij from below path

https://drive.google.com/drive/folders/12ZnscIWEmpMtWfs3c7KVtzAu80FwFGVf?usp=sharing

Material is in Day 15- Functional Programming (1 of 3)

Material is in Day 15- Functional Programming (1 of 3)

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers Scala from the ground up, starting with basic syntax and progressing to more advanced topics like functional programming and collections
Serves as a perfect starting point for learning Scala for Big Data technologies like Spark, which are essential in the field of data engineering
Highlights Scala's seamless integration with Java, making it a good option for developers seeking a smooth transition to a more modern language
Explores key features like strong static typing, immutability, and pattern matching, which are valuable for building robust and maintainable software
Includes hands-on programming exercises, which allows learners to immediately apply the concepts and techniques that are taught in the course
Uses Intellij, which is a common IDE for Scala development, and provides a download link, which may be outdated

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Reviews summary

Scala programming fundamentals review

According to students, this course provides a solid foundation in Scala programming, covering both Object-Oriented and Functional Programming paradigms. Learners appreciate the clear explanations and the instructor's effort to simplify complex topics. Many found the course useful for getting started with Scala, especially if they are new to the language or transitioning from Java. However, some feel that despite the title, the course primarily covers fundamentals and may lack depth in more advanced areas, particularly Functional Programming and Collections, making it perhaps less suitable for those already familiar with the basics or seeking an truly in-depth exploration. The hands-on examples are generally helpful, though more practice exercises would be beneficial for some. Overall, it serves as a good starting point.
Daily structure has mixed reception.
"The daily structure was helpful for breaking down the content."
"Sometimes the pace felt a bit slow on basic topics, then too fast on others."
"Some topics, like Arrays, seemed to span multiple days without much new content."
Hands-on coding examples included.
"The hands-on coding examples provided throughout the lectures were very helpful for practicing."
"I enjoyed coding along with the instructor's examples. It reinforced the learning."
"Good practical demos, but wish there were more standalone exercises or projects."
Introduces both key programming styles.
"The course does a good job of introducing both OOP and the basics of functional programming in Scala."
"I appreciate that it covered both Object-Oriented and Functional aspects, which is key for Scala."
"It provided a decent overview of how Scala combines different paradigms."
Instructor explains concepts simply.
"The instructor's explanations were very clear and easy to understand, even for someone new to these concepts."
"Liked how the complex topics were simplified. Made learning much easier."
"Simple language and clear articulation helped grasp the topics quickly."
Provides a strong introduction for beginners.
"This course gave me a solid foundation in Scala. It covers the basics well and prepares you for more advanced topics."
"Great course for beginners to get started with Scala. Explains concepts clearly from scratch."
"I was new to Scala and found this course easy to follow. It built my understanding step-by-step."
"Helped me understand the core concepts needed to start working with Scala applications."
Not as 'In-Depth' as title suggests.
"While good for fundamentals, it doesn't go 'In-Depth' enough on advanced FP concepts or libraries."
"The title is a bit misleading; it's more of a comprehensive beginner-to-intermediate course."
"Could use more in-depth coverage on topics like Monads, advanced Collections methods, or concurrency."
"Felt like some sections were rushed when getting into more complex areas."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Scala Programming In-Depth with these activities:
Review Java Fundamentals
Refresh your understanding of Java fundamentals, as Scala is interoperable with Java and knowledge of Java will aid in understanding Scala's relationship to the JVM.
Show steps
  • Review Java syntax and data types.
  • Practice writing simple Java programs.
  • Study object-oriented programming concepts in Java.
Read 'Programming in Scala'
Read 'Programming in Scala' to gain a deeper understanding of the language's features and best practices.
View Programming in Scala on Amazon
Show steps
  • Read the introductory chapters to understand Scala's core concepts.
  • Work through the examples and exercises in the book.
  • Refer to the book as a reference throughout the course.
Solve Scala Koans
Practice Scala concepts by solving Scala Koans, which are small exercises that reinforce understanding of the language.
Show steps
  • Download and set up Scala Koans.
  • Work through the Koans sequentially, focusing on areas where you struggle.
  • Review the solutions and explanations for each Koan.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write a Blog Post on a Scala Topic
Write a blog post explaining a specific Scala concept or feature to solidify your understanding and share your knowledge with others.
Show steps
  • Choose a Scala topic that you find interesting or challenging.
  • Research the topic thoroughly and gather relevant information.
  • Write a clear and concise blog post explaining the topic with examples.
  • Edit and proofread your blog post before publishing.
Build a Simple Scala Application
Start a small project, such as a command-line tool or a simple web application, to apply your Scala knowledge in a practical setting.
Show steps
  • Choose a project idea that aligns with your interests.
  • Plan the project's architecture and features.
  • Implement the project using Scala, breaking it down into smaller tasks.
  • Test and debug your code thoroughly.
Read 'Scala Cookbook'
Consult the 'Scala Cookbook' for practical solutions to common programming problems in Scala.
Show steps
  • Identify specific problems you're facing in your Scala projects.
  • Search for relevant recipes in the 'Scala Cookbook'.
  • Adapt the code examples to your specific needs.
Contribute to a Scala Open Source Project
Contribute to an open-source Scala project to gain experience working on real-world codebases and collaborating with other developers.
Show steps
  • Find a Scala open-source project that interests you.
  • Familiarize yourself with the project's codebase and contribution guidelines.
  • Identify a bug or feature to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete Scala Programming In-Depth will develop knowledge and skills that may be useful to these careers:
Big Data Developer
A Big Data Developer is responsible for designing, developing, and implementing solutions for processing and analyzing large datasets. This course, focusing on Scala, provides a strong foundation for working with big data technologies, especially Spark. If you want to become a Big Data Developer, this Scala course can help. The course's coverage of Scala basics, functional programming, and collections will all be useful to you in this line of work.
Software Engineer
As a Software Engineer, you design, develop, and test software applications. The role often involves working with various programming languages and frameworks. This course helps build a foundation in Scala, a language known for its versatility and integration with Java, making it a valuable asset for software engineers. Scala's features, like strong static typing and functional programming support, are covered. The course's discussion of object oriented programming can help those who want to work as Software Engineers.
Data Engineer
A Data Engineer builds and maintains the infrastructure required for data storage, processing, and analysis. This involves designing data pipelines, managing databases, and ensuring data quality. This course, with its introduction to Scala, a language used for Big Data Spark, will be useful to becoming a Data Engineer. You'll learn the fundamentals of Scala programming using this course.
Application Developer
Application Developers create software applications for computers and other devices. This course, with comprehensive coverage of Scala programming from basic concepts to advanced topics like object oriented programming might be useful for those seeking to become Application Developers. Scala's ability to integrate with Java and its versatility in different application development scenarios will be especially relevant for aspiring Application Developers.
Full-Stack Developer
Full Stack Developers work on both the front end and back end of web applications. This course helps build a foundation in Scala. Full Stack Developers may find Scala's functional programming features and support for building scalable applications to be useful. The knowledge gained from this Scala course may help those who want to become Full Stack Developers.
Backend Developer
Backend Developers focus on the server side logic and databases that power applications. This course helps build a foundation in Scala. Backend Developers may find Scala's functional programming features and support for building scalable applications to be useful. The knowledge gained from this Scala course may help those who want to become Backend Developers.
Solutions Architect
Solutions Architects design and oversee the implementation of technology solutions for businesses. A comprehensive understanding of various programming languages and technologies is critical for them to effectively design scalable and robust systems. The course helps build a foundation in Scala, which provides the means to contribute to the overall architecture in a meaningful way. You'll learn the fundamentals of Scala programming using this course.
Data Scientist
Data Scientists analyze and interpret complex data to help organizations make better decisions. Although data scientists commonly use languages like Python and R, familiarity with Scala, especially in the context of Spark, can be beneficial for processing large datasets. If you ever tackle big data, like in a professional setting, this Scala course may be useful. You'll learn the fundamentals of Scala programming using this course.
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models. While Python is the dominant language in this field, Scala, particularly with Spark, can be useful for handling large scale machine learning tasks. The knowledge provided by this Scala course may give Machine Learning Engineers the tools needed to implement performant solutions. You'll learn the fundamentals of Scala programming using this course.
Data Analyst
Data Analysts interpret data and transform it into actionable insights, often visualizing trends and patterns. While languages like Python and R tend to be more common among data analysts, Scala finds use in big data environments. Acquiring knowledge of Scala concepts, particularly in the context of big data processing, is useful for those aspiring to become Data Analysts. You'll learn the fundamentals of Scala programming using this course.
DevOps Engineer
DevOps Engineers work to automate and streamline software development and deployment processes. While Scala is not a primary language for DevOps, its ability to build robust and scalable systems can be valuable in certain infrastructure and automation tasks. You'll learn the fundamentals of Scala programming using this course, which may be useful to DevOps Engineers. Since you focus on deployment pipelines and automation, this may not be a primary skill.
Quality Assurance Engineer
Quality Assurance Engineers are responsible for testing software and ensuring it meets quality standards. While not a primary language for testing, understanding Scala can be valuable if you're testing applications built with Scala. Moreover, you can use your understanding of programming to implement automated testing frameworks. You'll learn the fundamentals of Scala programming using this course, which may be useful to Quality Assurance Engineers.
Technical Consultant
Technical Consultants advise clients on technology solutions. This course on Scala may be useful in helping a technical consultant. The course can help them better understand Scala based projects when working with a client. This course may be helpful to those who want to become Technical Consultants.
Database Administrator
Database Administrators manage and maintain databases. While database administrators do not directly interact with code on a daily basis, understanding programming languages such as Scala can aid in writing scripts and performing database related tasks. Understanding Scala's features may be somewhat useful. The knowledge gained from this Scala course may help those who want to become Database Administrators.
Chief Technology Officer
A Chief Technology Officer is the executive in charge of an organization's technological needs and research and development. While a CTO does not do day-to-day development, understanding the basics of Scala may prove useful. The knowledge gained from this Scala course may help those who want to become CTOs. Understanding Scala and its place in modern tech is useful to this role.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Scala Programming In-Depth.
This book, written by Scala's creator, Martin Odersky, comprehensive guide to the language. It covers everything from the basics to advanced topics like concurrency and functional programming. It valuable resource for understanding the design principles behind Scala and its practical applications. is commonly used as a textbook at academic institutions.
The Scala Cookbook collection of recipes for solving common problems in Scala. It provides practical solutions and code examples for a wide range of tasks. is particularly useful as a reference for developers who are already familiar with Scala but need help with specific problems. It adds breadth to the existing course.

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