Effective Scala Programming: Master Scala 3 Fundamentals
Learn Scala 3 programming: model domains, solve complex problems, and write high-quality code for large-scale applications in this hands-on course.
Learn Scala 3 programming: model domains, solve complex problems, and write high-quality code for large-scale applications in this hands-on course.
Master Scala 3 programming in this comprehensive, hands-on course. Learn to model business domains, break down complex problems, and write high-quality, scalable code. Covering both functional and object-oriented programming, you'll gain proficiency in Scala idioms, best practices, and common patterns used in real-world applications. The course includes practical assignments and covers topics such as asynchronous computations, error handling, and manipulating recursive data structures.
4.6
(167 ratings)
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Instructors:
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What you'll learn
Leverage Scala idioms to model business domains and implement business logic
Understand fundamental concepts of the language, allowing you to read and comprehend Scala codebases
Apply best practices and common patterns used in the real world
Work comfortably with asynchronous computations, handle failures, and manipulate recursive data structures
Master both functional programming and object-oriented programming techniques
Develop skills in software testing, including unit testing, property-based testing, and integration testing
Skills you'll gain
This course includes:
5.8 Hours PreRecorded video
34 assignments
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FullTime access
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There are 6 modules in this course
This comprehensive Scala 3 course covers fundamental concepts, best practices, and real-world applications. Students will learn to model business domains, implement business logic, and write high-quality, scalable code. The curriculum includes hands-on assignments and covers topics such as functional and object-oriented programming, asynchronous computations, error handling, and working with recursive data structures. By the end of the course, learners will be proficient in Scala idioms, testing techniques, and common patterns used in industry.
Getting Started, Basics, Domain Modeling
Module 1 · 12 Hours to complete
Standard Library, Loops
Module 2 · 13 Hours to complete
Build Tools, Modules
Module 3 · 12 Hours to complete
Reasoning About Code
Module 4 · 12 Hours to complete
Type-Directed Programming
Module 5 · 11 Hours to complete
Error Handling, Concurrent Programming
Module 6 · 12 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Scala Education Leader and Programming Language ExpertJulien Richard-Foy serve
Julien Richard-Foy serves as the Director of Education at the Scala Center at EPFL, where he focuses on making advanced programming techniques accessible to a broader audience. He leads the development of educational content and initiatives that bridge the gap between academic research and industry practices in Scala programming. As the lead instructor for "Effective Programming in Scala," a comprehensive course with over 14,688 enrolled students, he teaches fundamental concepts, best practices, and real-world applications of the Scala language. His course, which maintains a remarkable 4.8/5 instructor rating, covers essential topics from business domain modeling to asynchronous computations and functional programming. Through his work at the Scala Center, he contributes to developing open-source tools and libraries while guiding the Scala community's growth and supporting newcomers to the ecosystem.
Expert in Software Development and Machine Learning
Noel Welsh is a seasoned technology professional affiliated with École Polytechnique Fédérale de Lausanne, recognized for his extensive expertise in software development and machine learning. With a strong passion for programming, he actively contributes to the Scala community by simplifying the lives of Scala developers at the Scala Center. Welsh is not only a practitioner but also an educator, sharing his knowledge through courses such as "Effective Programming in Scala." He enjoys writing books and speaking at conferences, where he discusses advanced programming concepts and their applications.Welsh's work spans various aspects of programming and machine learning, reflecting his commitment to helping others become more effective in functional programming. His background includes a PhD focused on Bayesian nonparametrics and reinforcement learning, which informs his approach to developing practical solutions in software development. Through his teaching and public speaking engagements, he aims to inspire others in the tech community, fostering a deeper understanding of programming languages and techniques.
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