Python is a versatile programming language with a wide range of features. In this tutorial, we will delve into some of the advanced features that make Python powerful and efficient.
List Comprehensions
List comprehensions are a concise way to create lists. They are more compact and readable than traditional loops.
squares = [x**2 for x in range(10)]
Read more about list comprehensions
Generators
Generators are a powerful feature in Python that allow you to create iterators without the need for a class that implements the __iter__() and __next__() methods.
def generate_numbers():
for i in range(10):
yield i
numbers = generate_numbers()
Decorators
Decorators are a way to modify the behavior of functions or methods. They are used to add new functionality to existing functions or methods without modifying their source code.
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!")
say_hello()
Logging
Logging is a powerful feature in Python that allows you to keep track of what your program is doing. It is useful for debugging and monitoring your application.
import logging
logging.basicConfig(level=logging.DEBUG)
logging.debug("This is a debug message")
logging.info("This is an info message")
logging.warning("This is a warning message")
logging.error("This is an error message")
logging.critical("This is a critical message")