Lambda Expressions in Python

Learn how lambda expressions create callable objects in Python, assignable to variables, invokable with parameters (including defaults), and capable of automatic tuple packing and dict packing with **kwargs.

Explore higher order functions that take or return function references and see how lambda expressions simplify applying a function to a list, improving readability and succinctness.

Identify pure functions as ones that always return the same value for a given argument, with no nonlocal state or observable side effects, often created by lambda expressions.

Discover how the max built-in function finds the highest value in a collection, using a key function or lambda to compare student averages.

Compare the min and max built-ins, using a key function (lambda or defined) to extract the smallest or largest item from an iterable.

Apply the filter function by passing a predicate and an iterable, using a lambda expression to select items that return true, producing a filter object that behaves like a generator.

Shows why lambda expressions are discouraged under Prop eight style guide, favoring def for short functions, to ease debugging and improve readability when passing functions.

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