Python Function Parameters and Arguments
Learn the difference between parameters and arguments, how to pass values by position and by keyword, and the rules for default parameter values.
Learn Python programming from scratch
Learn the difference between parameters and arguments, how to pass values by position and by keyword, and the rules for default parameter values.
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 write effective docstrings for Python functions, the PEP 257 conventions, and how tools like help() and Sphinx use them to generate documentation.
Understand the differences between Python's built-in functions and the functions you write yourself, including performance, availability, and how they work together.
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 the most common mistakes Python developers make with functions, from mutable defaults to late binding closures, and how to avoid or fix each one.
Learn the principles of writing reusable Python functions: single responsibility, clear interfaces, avoiding global state, and designing for composition.
Learn how to organize Python functions into multiple files, when to split a module, and how to structure imports so your project stays maintainable as it grows.
Learn how to read and write large files in Python without running out of memory, using chunked reading, line-by-line iteration, and buffered writes.
Learn what object-oriented programming means in Python, why classes and objects matter, and how OOP helps you organize larger programs into manageable, reusable pieces.
Learn how to overload Python operators using magic methods, from arithmetic and comparison to string representation, so your custom classes work naturally with built-in syntax.
Learn the best practices for designing Python classes, from the SOLID principles adapted for Python to practical guidelines for writing maintainable object-oriented code.