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 …
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. …
Python map() — Finally Mastering the Python Map Function [+Video] Read More »
Python’s built-in help() function launches Python’s help system. Without an argument, help() starts an interactive session. With a string argument, help(name) looks up the name and prints a help page to the shell. With a non-string argument, help(object) prints a help page on object. Syntax help() The help() object has the following syntax: Syntax: help() …
There are three problem variants of finding the maximum value in a Python dictionary: Find the maximum value and return this maximum value Find the maximum value and return a (key, value) tuple of both the key and the max value itself Find the maximum value and return only the key assigned to the max …
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, …
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, …
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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 …
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 …
Python’s built-in hasattr(object, string) function takes an object and a string as an input. It returns True if one of the object‘s attributes has the name given by the string. Otherwise, it returns False. Usage Learn by example! Here’s an example on how to use the hasattr() built-in function. The output of this code snippet …
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 …
Python enumerate() — A Simple Illustrated Guide with Video 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. …
If used without argument, Python’s built-in dir() function returns the function and variable names defined in the local scope—the namespace of your current module. If used with an object argument, dir(object) returns a list of attribute and method names defined in the object’s scope. Thus, dir() returns all names in a given scope. Usage Learn …
