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advancedfunctionalprogramming(lamba).pptx
- 1. Lambda Lambda is a keyword in Python used to define functions, more specifically Anonymous Functions, and such functions are known as Lambda Functions or Lambda Expressions.
- 2. • The expression n ** 2 gets evaluated first, and a value gets returned to the identifier square. The identifier square can now act as a function, and thus we can pass any number as an argument to find the square of a number.
- 5. Keep in mind that the map can take any iterable as an argument and not only a list.
- 8. • Summary • Lambda • Function with many arguments but only one expression. • It helps to make our code pythonic and to create function wrappers. • Map • A function that applies a given function to each item of an iterable and returns an iterator. • It provides a faster way to transform an iterable based on the given condition. • It can have multiple iterables. • Filter • It has the same syntax as the map function. • It helps in extracting items from an iterable based on the given condition.
- 9. • Decorators • A decorator is a design pattern in Python that allows a user to add new functionality to an existing object without modifying its structure. Decorators are usually called before the definition of a function you want to decorate. • Functions in Python are first class citizens. This means that they support operations such as being passed as an argument, returned from a function, modified, and assigned to a variable. This is a fundamental concept to understand before we delve into creating Python decorators. • Before we learn about decorators, we need to understand a few important concepts related to Python functions. Also, remember that everything in Python is an object, even functions are objects.
- 13. Here, we have created two functions: •ordinary() that prints "I am ordinary" •make_pretty() that takes a function as its argument and has a nested function named inner(), and returns the inner function. We are calling the ordinary() function normally, so we get the output "I am ordinary".
- 16. Here, the ordinary() function is decorated with the make_pretty() decorator using the @make_pretty syntax, which is equivalent to calling ordinary = make_pretty(ordinary).
- 23. Generators