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Functional programming in Python emphasizes treating computation as the evaluation of functions while minimizing mutable data and side effects. Key tools such as first-class functions, higher-order functions, and the functools module enable the construction of clean, efficient code. The chapter also highlights the principles of immutability and pure functions, which contribute to more predictable and testable programming.
Chapter 613 sections
Functional programming in Python emphasizes treating computation as the evaluation of functions while minimizing mutable data and side effects. Key tools such as first-class functions, higher-order functions, and the functools module enable the construction of clean, efficient code. The chapter also highlights the principles of immutability and pure functions, which contribute to more predictable and testable programming.
Functional programming treats computation as the evaluation of functions.
First-class functions and higher-order functions are core concepts in functional programming.
Immutability and pure functions enhance code stability and performance.
Functions that can be assigned to variables, passed as arguments, or returned from other functions.
Functions that take one or more functions as input arguments or return a function as output.
Anonymous functions defined with the lambda keyword, useful for short operations.
A module that provides higher-order functions and operations on callable objects, enhancing functional programming capabilities.
A property of objects that prevents their state from being changed after creation.
Functions that have no side effects and return the same output for the same input, increasing testability.
Total Questions
2
Estimated Time
4 min
Passing Score
70%
3 more questions available