Welcome to the advanced Python tutorial section! Dive deeper into the language's powerful features and concepts. Here's a curated guide to help you master Python at an expert level.
Key Advanced Topics 📚
Decorators 🎨
Enhance functions with metadata and behavior modification.Generators 🌱
Efficient memory usage with lazy evaluation.Metaclasses 🔍
Custom class creation at the language level.Context Managers 🛡️
Simplify resource management withwith
statements.
Practice Examples 💡
# Example 1: Decorator
def my_decorator(func):
def wrapper():
print("Before function call")
func()
print("After function call")
return wrapper
@my_decorator
def say_hello():
print("Hello!")
say_hello()
# Example 2: Generator
def count_up_to(n):
count = 1
while count <= n:
yield count
count += 1
for number in count_up_to(5):
print(number)
Expand Your Knowledge 🌐
- Python Basics Tutorial for foundational concepts
- Advanced OOP in Python to explore object-oriented programming
- Python Performance Tips for optimizing code
Stay curious and keep coding! 🚀