Functional Programming Principles in Scala (Scala 2 version)

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Functional Programming Principles in Scala (Scala 2 version)

Coursera · Intermediate ·🔄 Data Engineering ·3mo ago

Key Takeaways

Teaches functional programming principles in Scala including its application in industry

Original Description

Functional programming is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications. Scala fuses functional and object-oriented programming in a practical package. It interoperates seamlessly with both Java and Javascript. Scala is the implementation language of many important frameworks, including Apache Spark, Kafka, and Akka. It provides the core infrastructure for sites such as Twitter, Tumblr and also Coursera. In this course you will discover the elements of the functional programming style and learn how to apply them usefully in your daily programming tasks, such as modeling business domains or implementing business logic. You will also develop a solid foundation for reasoning about functional programs, by touching upon proofs of invariants and the tracing of execution symbolically. The course is hands on; most units introduce short programs that serve as illustrations of important concepts and invite you to play with them, modifying and improving them. The course is complemented by a series programming projects as homework assignments. Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer
Learn how to build a production-ready ETL pipeline with Python, Docker, PostgreSQL, and Kestra by thinking like a data engineer
Towards Data Science
📰
JuiceFS Sync for PB-Scale Data Transfers: Resumable Sync, Encryption, and Bandwidth Control
Learn how to efficiently transfer large volumes of data using JuiceFS Sync, which offers resumable sync, encryption, and bandwidth control, ideal for PB-scale data transfers.
Dev.to AI
📰
How Airflow is using AI to make data engineering more resilient, not more complex
Airflow uses AI to make data engineering more resilient by detecting data drift, resuming failed pipelines, and fixing issues automatically, reducing complexity and improving reliability.
Medium · AI
📰
What Can We Do When Memory Becomes the New Bottleneck in Data Engineering?
Learn how to overcome memory bottlenecks in data engineering using Pandas chunking, Dask, and Polars, and why it matters for processing large datasets
Towards Data Science
Up next
A Moment Frozen in Time | Arnav Iyengar | TEDxJenks Youth
TEDx Talks
Watch →