Python's import statement is one of the most important features of the language. It allows us to bring external modules and packages into our code, which extends the capabilities of our programs and makes them more powerful. In this article, we will explore the import statement in detail, discussing its syntax, the var…

In Python, a class method and an instance method are two different types of methods in a class: Instance Method: This type of method takes the instance (object) of a class as the first argument. It can access and modify the instance's data. Class Method: This type of method takes the class itself as the first argument…

In Python, a class method is a method that is bound to the class and not the instance of the class. An instance method, on the other hand, is bound to the instance of the class.           Here's an example: class MyClass: class_var = "hello" # a class variable @classmethod def class_method(c…

Here is a tabular comparison of sets and lists in Python: Set List Uses curly braces {} Uses square brackets [] Unordered collection Ordered collection Only unique elements allowed Duplicates allowed Mutable Mutable Supports set operations No set operations No indexing Supports indexing Hashable elements only No restricti…

The json module in Python provides an easy way to encode and decode data in JSON (JavaScript Object Notation) format. JSON is a lightweight data interchange format that is widely used in web applications to transmit data between the server and the client.           The json module provides two main methods: json.dumps(…

The sort() method and sorted() function in Python are used to sort a list of elements in ascending or descending order. However, there are some differences between these two methods. sort() method: This method is used to sort the elements of the list in-place. That means the original list is modified, and no new list is…

Both append() and extend() are methods of a list in Python, used to add elements to a list.           The append() method adds a single element to the end of the list, while the extend() method adds multiple elements to the end of the list by appending each element one by one.           Here is an example to demonstrat…

A context manager is a Python object that defines a runtime context to be used with the with statement. It is used to set up and tear down resources that need to be acquired and released in a predictable way, such as opening and closing a file, acquiring and releasing a lock, or connecting and disconnecting from a database…

The @property decorator is a built-in decorator in Python that allows a method to be accessed as an attribute instead of as a method. When this decorator is applied to a method, it makes the method act like a read-only property of an object.           The purpose of @property is to provide a more elegant way of accessing…

The @classmethod decorator in Python is used to define a class method. A class method is a method that is bound to the class and not the instance of the class. This means that a class method can be called on the class itself, without needing to create an instance of the class.           The @classmethod decorator is used…

The @staticmethod decorator is used in Python to define a static method in a class. A static method is a method that belongs to a class rather than an instance of the class. It can be called on the class itself, rather than on an instance of the class.           The @staticmethod decorator is used to indicate that the me…

The idiom x is None is used in Python to check if the variable x is None, which is a special value in Python that represents the absence of a value.           In Python, None is a singleton object, which means there is only one instance of the None object in memory, and all references to None refer to the same object. Th…

The copy() method in Python is used to create a shallow copy of an object. A shallow copy of an object creates a new object with the same contents as the original object. However, any mutable objects contained within the original object are still linked to the original object. Therefore, any changes made to the mutable objects withi…

The deepcopy() function in Python is used to create a new object with a completely new memory address, which is a deep copy of the original object. It means that any changes made to the copied object will not affect the original object, and vice versa. deepcopy() function is useful when you need to modify an object without changin…

In Python, a shallow copy and a deep copy are two ways of creating a copy of an object. The main difference between the two is the level of copying involved.           A shallow copy creates a new object, but it only copies the reference of the original object to the new object. This means that changes made to the origin…

The assert statement in Python is used as a debugging aid to test a condition and trigger an error if the condition is not true. It takes an expression that is expected to be true and raises an AssertionError exception if it evaluates to false.           The basic syntax of the assert statement is as follows: assert exp…

In Python, **kwargs is a syntax used in function definitions to accept a variable number of keyword arguments. It allows you to pass a variable number of keyword arguments to a function.           The ** syntax before the kwargs variable name in the function definition unpacks any additional keyword arguments into a dic…

In Python, args is used to pass a variable number of arguments to a function. The asterisk () before the parameter name allows the function to accept any number of positional arguments, which are then passed to the function as a tuple. This means that you can call a function with any number of arguments, and the function w…

A dictionary comprehension is a concise and efficient way to create a new dictionary by transforming and filtering elements of an existing iterable (such as a list or a tuple) according to a given expression. The basic syntax for a dictionary comprehension is: {key_expression: value_expression for item in iterable if cond…

A set comprehension is a concise way to create a new set in Python by applying a filtering condition to an existing set or another iterable object. It is similar to list comprehensions and dictionary comprehensions, but instead of creating a list or a dictionary, it creates a set.           Here is the general syntax for…