Note: When you type import something, Python will look for something a few different places before searching the import path. This means that importing the world.africa package creates the namespace but has no other effect:

The world/africa/_init_.py file is empty.

spain > # Importing norway doesn't do the import again (no output), but adds > # norway to the global namespace > from rope import norway > norway spain AttributeError: module 'rope' has no attribute 'spain' > # Import spain explicitly inside the world namespace > import Castellano: Hola mundo > # Note that spain is also available directly inside the europe namespace > europe. norway > # The spain submodule has not been imported > europe.

greece > # Because world is imported, europe is also found in the world namespace > world. > # Import europe explicitly > from world import europe Greek: Γειά σας Κόσμε Norwegian: Hei verden > # The greece submodule has been automatically imported > europe. While all the code is shown in the tutorial, you can also download it by clicking the box below: Throughout the tutorial, you’ll see examples of how to play with the Python import machinery in order to work most efficiently.

Handle resources and data files inside your packages.

Use modules, packages, and namespace packages.

You’ll learn from several code examples throughout. While you’ll cover many of the concepts behind Python’s import system, this tutorial is mostly example driven. The import system is powerful, and you’ll learn how to harness this power. This tutorial will provide a thorough overview of Python’s import statement and how it works. Using imports properly will make you more productive, allowing you to reuse code while keeping your projects maintainable. Imports in Python are important for structuring your code effectively. In Python, you use the import keyword to make code in one module available in another.

Packages in python