Lambda Functions
- known as anonymous functions (their functions are so simple, they don’t need a name)
- syntax:
lambda (input): (some operation)- within the scope of this course, lambda is used in conjunction with map and filter
Iterator
Syntax:
iter(iterable), next(iterator)
- An iterator in Python is an object that can be iterated upon, meaning that you can traverse through all the values.
- Typically, an iterator is created from an iterable using the
iter()function and the elements are accessed via thenext()function.- Iterators remember the state as you traverse through them. The next call to
next()starts off where the previous one stopped.
Map
Syntax:
map(function, iterable)
- Map allows you to apply a function to all elements to an iterable input
- very common to use a lambda function as the function to apply
- returns a lazy iterator through the iterable object, applying the function as it traverses
Filter
Syntax: filter(function, iterable)
- Filter takes in a function that returns a boolean and only keeps elements that satisfy the function (i.e. return True).
- Very common to use a lambda function as the function to apply, but keep in mind the function must return a boolean.
- Returns a lazy iterator through the iterable object that only yields values that pass the function.