Lazy Evaluation

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Related lectures (32)

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Lazy Evaluation: Lazy Lists

Explores lazy evaluation and lazy lists in Scala, emphasizing their benefits and implementation.

Lazy Lists: Delayed Evaluation and Efficient Computation

Covers Lazy Lists, delaying computation for efficiency in combinatorial search.

Compiler Extension Lab

Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.

Functional Programming: Concepts and Implementation

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Programming Models: Overview and Examples

Explores programming models for big data processing, including Spark's RDDs and optimizations.

Dataflow: Execution Models for Distributed Computing

Explores the data flow model for distributed computing using RDDs in Spark.

Safe Mutation in Practice

Explores safe mutation in functional programming through lazy evaluation, object invariants, and efficient caching functions.

Functional Programming Basics in Scala

Covers the basics of functional programming in Scala, including evaluation strategies, conditionals, and value definitions, with a focus on computing square roots with Newton's method.

Programming Paradigms: Functional, OOP, Polymorphism

Explores programming paradigms like procedural, functional, and OOP, with examples in Python.

Functional Decomposition: Pattern Matching

Covers functional decomposition with pattern matching in Scala to access heterogeneous data in a class hierarchy.