The pass statement does nothing when executed. You can use it as a placeholder for future code so that you can focus on the high-level structure first and implement the details later. For example, functions, loops, class definitions, or if statements require at least one statement in their indentation block. Think of the pass statement …
Problem Formulation: Given a string my_string. Find the number of characters of the string! For example, the string “what is my length?” must yield integer 18 because it has 18 characters. Here are three examples of our desired outputs: Solution: Before we dive into alternatives, here’s the quick answer to this question. To get the …
Do you train for your upcoming coding interview? This question was asked by Google as reported in multiple occasions by programmers all around the world. Can you solve it optimally? Let’s dive into the problem first. Problem Formulation Given an integer array or Python list nums and an integer value k. Find and return the …
[Google Interview] Find the k-th Largest Element in an Unsorted Array Read More »
To print a percentage value in Python, use the str.format() method or an f-string on the format language pattern “{:.0%}”. For example, the f-string f”{your_number:.0%}” will convert variable your_number to a percentage string with 0 digits precision. Simply run those three basic statements in your shell: your_number = 0.42 percentage = “{:.0%}”.format(your_number) print(percentage) As a …
A Python class attribute is a variable that belongs to a class, not an individual instance, and is shared among all instances. An instance attribute is a variable that belongs to exactly one object. An instance attribute is defined inside the __init__() method by using the reference to the instance self, whereas a class attribute …
Python Class vs Instance Attributes [Tutorial+Video] Read More »
Python provides three ways to stop a while loop: The while loop condition is checked once per iteration. If it evaluates to False, the program ends the loop and proceeds with the first statement after the loop construct. The keyword break terminates a loop immediately. The program proceeds with the first statement after the loop …
A couple of years ago, I fell into the habit of creating cheat sheets when exploring certain areas in the programming space. Over time, hundreds of thousands of Finxters have downloaded and used them in their own learning journeys. However, the cheat sheets are largely scattered around many different locations on the Finxter ecosystem. And …
Problem Formulation Given a string s. How to find the substring s’ between an opening and a closing parentheses? Consider the following examples: Input: ‘Learn Python (not C++)’ Output: ‘not C++’ Input: ‘function(a, b, c, d)’ Output: ‘a, b, c, d’ Input: ‘(a+(b+c))’ Output: ‘a+(b+c)’ Method 1: Slicing and str.find() The simplest way to extract …
Python Regex to Return String Between Parentheses Read More »
The set data structure is one of the most underused primary data structures in Python. I’ve seen so many intermediate-level coders who use lists when all they need is a data structure that checks membership!! 🤨 Understanding the basics differentiates the good from the great. In this tutorial, you’ll learn about Python’s basic set methods. First, …
In Python, everything is an object. Even integers are objects — this is different from programming languages like Java where integers, floats, and Booleans are primitive data types. In this way, Python is built on a rigorously consistent object-oriented paradigm. Considering that objects are everywhere in Python, object-oriented programming is not well studied by Python …
A Simple Example of Python Objects and Classes [+Video] Read More »
Python’s S.symmetric_difference(T) method creates and returns a new set containing all elements that are in exactly one of the two sets S and T. Here’s a minimal example where we return a new set containing the elements 1 and 4 that are in exactly one of the two sets s and t. Here’s another visual …
Quick Answer: Static attributes are variables defined once for the class and shared by all instances. Dynamic attributes are variables defined for individual instances only. Static variables are used as a “fall-back” when there are no explicit dynamic attributes defined for the instances. When you try to “overwrite” a static attribute such as in x.attr …
Static and Dynamic Attributes in Python – What’s the Difference? Read More »