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In Python, bytes are sequences of 8-bit values, while strings are sequences of Unicode characters. Converting bytes to strings is a common task when working with file I/O, network data, or encoded text. Python provides several built-in methods to perform this conversion efficiently. Converting Bytes to Strings in Python The following methods can be used to convert bytes to Python strings ? Using decode() method Using str() function Using codecs.decode() function Using pandas library Using decode() Method ... Read More
In this article, we will explain where operators are mapped to magic methods in Python and how they enable operator overloading. Python Magic methods are special methods that begin and end with double underscores. They are also known as dunder methods. Magic methods are not intended to be invoked directly by you, but rather invocation occurs by the class on a specific action. When you use the + operator to add two numbers, the __add__() method is called internally. Many magic methods in Python are defined by built-in classes. To get the number of magic methods inherited by ... Read More
Python operator overloading allows you to define custom behavior for built-in operators when used with user-defined classes. Every class in Python inherits from the object class, which contains special methods (also called magic methods or dunder methods) that correspond to various operators. These special methods have names surrounded by double underscores, like __add__(), __sub__(), __eq__(), etc. By overriding these methods in your class, you can define how operators work with your objects. Common Operator Overloading Methods Here are the most frequently used magic methods for operator overloading − Operator Magic Method Description ... Read More
In this article, we will show you how to find the largest integer less than or equal to x in Python using the floor function. The Greatest Integer Function [x] denotes the integral part of a real number x that is the closest and smallest integer to x. It's also called the floor function. [x] = the largest integer less than or equal to x Understanding the Floor Function If n ≤ x < n+1 where n is an integer, then [x] = n. This means if x lies in the interval [n, n+1), ... Read More
Sometimes we need to pick a random number that is not present in a given list. Python provides several approaches to accomplish this task using the random module combined with different data structures and techniques. Using random.choice() with Loop The random.choice() function returns a random element from a sequence. We can combine it with a loop to find numbers not in the original list ? Syntax random.choice(sequence) Parameters sequence − any sequence like list, tuple, or range Example This example creates a new list of numbers not present in the ... Read More
Generating non-repeating random numbers is a common requirement in Python applications. This article demonstrates four different approaches: using randint() with a loop, random.sample() with lists or ranges, and random.choices(). Using randint() with Loop and Checking This method generates random numbers one by one and checks if they already exist in the result list ? import random # Create empty list for storing unique random numbers random_numbers = [] # Generate 10 unique random numbers between 1 and 100 while len(random_numbers) < 10: num = random.randint(1, 100) ... Read More
Python provides magic methods to define custom behavior for comparison operators. The comparison operators (=, == and !=) can be overloaded by implementing __lt__, __le__, __gt__, __ge__, __eq__ and __ne__ magic methods respectively. Magic Methods for Comparison Operators Operator Magic Method Description == __eq__() Equal to != __ne__() Not equal to = __ge__() Greater than or equal to Example: Overloading Comparison Operators The following example demonstrates overloading the == and >= operators for a custom Distance class − class Distance: ... Read More
The @ operator in Python serves multiple purposes. It's primarily used to define decorators, but it also functions as the matrix multiplication operator (introduced in Python 3.5). Let's explore both uses with practical examples. @ Operator as Decorator A decorator is a function that takes another function and extends its behavior without explicitly modifying it. The @ symbol provides clean syntax for applying decorators ? Basic Decorator Example def my_decorator(func): def wrapper(): print("Before function call") ... Read More
Python provides magic methods to define custom behavior for comparison operators. The operators =, == and != can be overloaded using the __lt__, __le__, __gt__, __ge__, __eq__ and __ne__ magic methods respectively. Basic Implementation Let's create a Distance class that overloads the operators to compare distances in feet and inches ? class Distance: def __init__(self, feet=5, inches=5): self.feet = feet self.inches = inches def __str__(self): ... Read More
Python provides the not equal operator to compare values and check if they are different. The != operator is the standard way to perform "not equal" comparisons in modern Python. The != Operator The != operator returns True when two values are not equal, and False when they are equal ? # Comparing numbers result1 = 5 != 3 result2 = 5 != 5 print("5 != 3:", result1) print("5 != 5:", result2) 5 != 3: True 5 != 5: False Using != with Different Data Types The not equal ... Read More