Different Ways to Import Python Modules
Learn the four Python import styles, when to use each one, and how your choice affects code readability and long-term maintainability.
Learn Python programming from scratch
Learn the four Python import styles, when to use each one, and how your choice affects code readability and long-term maintainability.
Learn how to turn a directory of Python modules into a package, understand the role of the init file, and structure packages that are easy to import and maintain.
Learn the difference between absolute and relative imports in Python, when to use each style, and how to avoid the common pitfalls that cause ImportError in packages.
Learn what the __init__.py file does in Python packages, why it is required, what code belongs inside it, and how to use it to control your package's public API.
Learn how Python's __main__ module works, how the __name__ variable distinguishes scripts from imports, and how to build packages that run as both importable libraries and command-line tools.
Learn how to structure Python projects with packages and subpackages, decide when to split modules, and organize code so it stays navigable as your project grows.
Learn how Python resolves imports for both standard library modules and your own custom modules, and how to avoid conflicts when names overlap.
Learn what circular imports are, why they cause ImportError in Python, and how to restructure your code to eliminate mutual dependencies between modules.
Learn how to reload Python modules without restarting the interpreter, when reloading is useful during development, and why it should not be used in production code.
Learn the most frequent mistakes developers make with Python modules and packages, from naming conflicts to import order problems, and how to avoid each one.
Learn how to structure a Python project with multiple modules and packages, from directory layout to import paths, so it stays organized and importable as it grows.
Learn the best practices for structuring Python modules and packages, from naming conventions to API design, that keep your codebase maintainable as it grows.