Nested Functions in Python
Learn how to define functions inside other functions in Python, why nesting is useful for encapsulation and factories, and how inner functions access outer variables.
Learn Python programming from scratch
Learn how to define functions inside other functions in Python, why nesting is useful for encapsulation and factories, and how inner functions access outer variables.
Learn what closures are in Python, how they capture variables from enclosing scopes, and how to use them for function factories, callbacks, and state encapsulation.
Learn how to annotate function parameters and return values in Python, what annotations are used for, and how they improve code readability and tooling support.
Learn how to write effective docstrings for Python functions, the PEP 257 conventions, and how tools like help() and Sphinx use them to generate documentation.
Learn what it means for Python functions to be first-class objects: you can assign them to variables, pass them as arguments, and return them from other functions.
Learn how to pass Python functions as callbacks, how callback patterns work in event-driven and asynchronous code, and when to use callbacks versus other approaches.
Learn how the Python import statement works, where Python searches for modules, and how to avoid common import pitfalls like naming conflicts and circular dependencies.
Learn what polymorphism means in Python, how different classes can share the same interface, and how to write code that works with objects of any type that support the required operations.
Learn what duck typing means in Python, how it lets you write flexible code that works with any object that supports the right methods, and when to embrace or avoid it.
Learn what abstraction means in Python OOP, how to hide complexity behind simple interfaces, and how abstract classes and methods enforce design contracts.
Learn when to use composition over inheritance in Python, how to delegate work to contained objects, and why 'has-a' relationships often beat 'is-a' for flexible design.
Learn how Python compares objects using equality, identity, and rich comparison methods, and how to implement custom comparison logic for your classes.