Introduction The map(), filter() and reduce() functions bring a bit of functional programming to Python. All three of these are convenience functions that can be replaced with List Comprehensions or loops, but provide a more elegant and short-hand approach to some problems. Before continuing, we’ll go over a few things you should be familiar with before reading about the aforementioned methods: What is an anonymous function/method or lambda? An anonymous method is a method without a name, i.e. not bound […]

Introduction to any() and all() In this tutorial, we’ll be covering the any() and all() functions in Python. The any(iterable) and all(iterable) are built-in functions in Python and have been around since Python 2.5 was released. Both functions are equivalent to writing a series of or and and operators respectively between each of the elements of the passed iterable. They are both convenience functions that shorten the code by replacing boilerplate loops. Both methods short-circuit and return a value as […]

‘is’ vs ‘==’ in Python Python has two very similar operators for checking whether two objects are equal. These two operators are is and ==. They are usually confused with one another because with simple data types, like ints and strings (which many people start learning Python with) they seem to do the same thing: x = 5 s = “example” print(“x == 5: ” + str(x == 5)) print(“x is 5: ” + str(x is 5)) print(“s == ‘example’: […]