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  1. Python offers a wide range of advanced features and techniques that allow developers to write efficient, scalable, and maintainable code. These concepts are particularly useful for experienced programmers looking to deepen their understanding and enhance their coding practices.

    Object-Oriented Programming (OOP)

    OOP is a cornerstone of advanced Python programming. It involves organizing code into reusable classes and objects. Key principles include inheritance, encapsulation, and polymorphism. Python also supports advanced OOP features like dunder methods (__str__, __getitem__), static methods, and class variables. These features enable developers to create modular and scalable systems.

    Example:

    class Rocket:
    def __init__(self, name, fuel):
    self.name = name
    self.fuel = fuel

    def launch(self):
    if self.fuel > 0:
    print(f"{self.name} is launching!")
    self.fuel -= 1
    else:
    print("Not enough fuel!")

    rocket = Rocket("Apollo", 3)
    rocket.launch()
    Cóipeáilte!

    Generator Functions

    Generators are a powerful feature for handling large datasets efficiently. They use the yield keyword to produce values lazily, which saves memory. Advanced techniques include using the send() method to interact with generators dynamically.

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  1. Advanced Python and Professional Development - Coursera

    This course is ideal for Python developers who have mastered the basics and want to learn how to develop professional-level applications. You will learn how to apply …

  2. Advanced Python Tutorials

    • Féach ar thuilleadh

    15 Márta 2024 · These tutorials take you under the hood of Python. If you’re comfortable with object-oriented programming, decorators, testing, and building multi-module projects, you’ll find plenty to …