Parallel Collections: Data Parallelism
Harness the power of multi-core processors with Scala's parallel collections to automatically parallelize operations and dramatically improve performa...
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Explore all lessons related to Scala
32 lessons
Concurrency and Futures: Asynchronous Programming
Master asynchronous programming in Scala with Futures, execution contexts, and concurrent patterns to build responsive and scalable applications.
Read MoreLazy Evaluation and Streams: Efficient Data Processing
Harness the power of lazy evaluation and streams to process large datasets efficiently, work with infinite sequences, and optimize memory usage in you...
Read MoreFor-Comprehensions and Monads: Elegant Composition
Master for-comprehensions to elegantly compose operations across Options, Lists, and other monadic types, creating readable and powerful data transfor...
Read MoreImmutable Collections: Lists, Vectors, Sets, and Maps
Explore Scala's rich collection library, understanding the performance characteristics and use cases for Lists, Vectors, Sets, Maps, and other immutab...
Read MoreOption, Either, and Try: Handling Errors Gracefully
Learn to handle null values, errors, and exceptions functionally using Option, Either, and Try to write robust, safe code without null pointer excepti...
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