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In Python, composition lets you build complex systems by combining objects instead of inheriting. This approach leads to more flexible, maintainable code. Learn when and how to use it effectively.
Inheritance allows a new class to take on attributes and methods from an existing class, while composition builds objects by combining simpler ones.
Python developers write, test, and maintain code using Python. They build applications, manage data, and solve problems. This role requires both technical skills and teamwork.
Encapsulation in Python bundles data and methods, restricting direct access to some components to improve code quality by controlling what is exposed or kept private.
Effective error handling in Python functions ensures robustness, user-friendliness, and easier debugging by anticipating and managing potential exceptions.
functools.wraps preserves a function's metadata when using decorators, maintaining its name, docstring, and other attributes after wrapping. Learn how and when to use it effectively.
Python identity (is) checks if objects are the same, while equality (==) checks if their values match. Understanding this distinction helps prevent bugs and write more efficient code.
itertools is Python's hidden gem for efficient and elegant iteration, replacing nested loops with clean, fast, and Pythonic code through powerful iterator-building functions.
Master job offer negotiation as a Python developer with practical strategies to confidently discuss salary and benefits, from junior to senior levels.
Learn Python method naming conventions: use snake_case, keep names clear and descriptive, avoid abbreviations, and include action verbs for readability and professionalism.
