Python’s built-in tuple() function creates and returns a new tuple object. When used without an argument, it returns an empty tuple. When used with the optional iterable argument, it initializes the new tuple with the elements in the iterable. Read more about tuples in our full tutorial about Python Tuples. Usage Learn by example! Here … Read more
Python’s built-in list() function creates and returns a new list object. When used without an argument, it returns an empty list. When used with the optional iterable argument, it initializes the new list with the elements in the iterable. Read more about lists in our full tutorial about Python Lists. Usage Learn by example! Here … Read more
Recap: Python’s map() function takes a function and an iterable—such as a list—as arguments. It then applies the function to each element in the iterable. It returns a map object. ? But what if you don’t need a map object but a list? Old: In Python 2.x this was easy: the map() function simply returned … Read more
The map() function transforms one or more iterables into a new one by applying a “transformator function” to the i-th elements of each iterable. The arguments are the transformator function object and one or more iterables. If you pass n iterables as arguments, the transformator function must be an n-ary function taking n input arguments. … Read more
Like most coders, I regularly consult a search engine—yeah, as if there were many good options ;)—to learn about parameter lists of specific Python functions. If you truly stand on the shoulders of giants, and leverage the powerful Python libraries developed by some of the best coders in the world, studying the API of existing … Read more
There are three problem variants of finding the maximum value in a Python dictionary: In the following, you’ll learn how to solve those in the most Pythonic way: Find Maximum Value & Return Only Value The output is: Find Maximum Value & Return (Key, Value) Pair The output is: Find Maximum Value & Return Only … Read more
Python’s locals() function returns a dictionary of name –> object mappings. The names are the ones defined in the current local scope, i.e., defined within the current module, class, method, or function—whatever the most local scope is. The objects are the values associated to these names. For example, if you set variable x = [1, … Read more
Python’s built-in “dunder” function __import__() allows you to import a library by name. For example, you may want to import a library that was provided as a user input, so you may only have the string name of the library. For example, to import the NumPy library dynamically, you could run __import__(‘numpy’). In this tutorial, … Read more
A piece of Python code is a waste of time and resource without communicating with the real world. In this tutorial, you’ll master the humble, but powerful, Python print() function. Python’s built-in print() function prints a string representation of any number of objects to the standard output. The print() function has many advanced arguments to … Read more
Python’s globals() function returns a dictionary of name –> object mappings. The names are the ones defined globally, i.e., defined by Python or in the outside scope of your program. The objects are the values associated to these names. For example, if you set variable x = [1, 2, 3], the globals() dictionary will contain … Read more
If you’re like me, you want to come to the heart of an issue fast. Here’s the 1-paragraph summary of the enumerate() function—that’s all you need to know to get started using it: Python’s built-in enumerate(iterable) function allows you to loop over all elements in an iterable and their associated counters. Formally, it takes an … Read more
Python’s built-in divmod(a, b) function takes two integer or float numbers a and b as input arguments and returns a tuple (a // b, a % b). The first tuple value is the result of the integer division a//b. The second tuple is the result of the remainder, also called modulo operation a % b. … Read more