Some Common Terms In Python Programming And Their Explanations_Part Three

 

1. Module

  • Explanation: A module is a file containing Python code, which can include functions, classes, and variables. Modules can be imported and used in other Python scripts.
Example:
import math  # Imports the math module, which provides mathematical functions.

2. Exception Handling

  • Explanation: Exception handling is a way to handle errors gracefully during program execution. The 'try', 'except', and 'finally' blocks are used for this.
Example:
try:
    result = 10 / 0
except ZeroDivisionError:
    print("You can't divide by zero!")

3. Lambda Function

  • Explanation: A lambda function is a small, anonymous function defined using the lambda keyword. It can take any number of arguments but has only one expression.
Example:
square = lambda x: x * 2  # A lambda function to calculate the square of a number.

4. List Comprehension

  • Explanation: List comprehension is a concise way to create lists. It can replace loops and 'map'/'filter' functions.
Example:
squares = [x**2 for x in range(10)]  # Creates a list of squares from 0 to 9.

5. Decorator

  • Explanation: A decorator is a function that takes another function and extends its behavior without explicitly modifying it. It is commonly used in scenarios like logging or authorization.
Example:
def my_decorator(func):
    def wrapper():
        print("Something is happening before the function is called.")
        func()
        print("Something is happening after the function is called.")
    return wrapper

@my_decorator
def say_hello():
    print("Hello!")










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