Functional Programming: Concepts and Implementation

Related lectures (28)

Page 2 of 3

Covers advanced topics in Python programming, focusing on control structures and functions.

Covers primitive expressions, evaluation processes, function applications, types, and evaluation strategies in programming.

Covers the principles and benefits of functional programming, emphasizing immutable data and functions.

Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.

Covers advanced Python programming concepts, including data structures and functions.

Discusses advanced analysis concepts, focusing on differential equations and timers in microcontrollers.

Provides an overview of lambda calculus, type safety, and type inference in programming languages.

Covers the concept and implementation of functions in programming, focusing on reusability and structure.

Introduces Python basics, functions, lists, and lambda functions for concise coding.