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Python Object Copy: Shallow vs Deep Explained
Learn how to copy objects in Python correctly. Understand the difference between shallow and deep copy, when to use each, and how to customize copy behavior with `__copy__` and `__deepcopy__`.
Python Namespace Packages: Structure and Usage
Understand Python namespace packages: how they differ from regular packages, how PEP 420 import behavior works, and when to split a package across multiple distributions.
Python Relative Imports in Packages: Syntax, Errors, and Fixes
Understand how relative imports work inside Python packages, why they fail when run directly, and how to structure modules for reliable imports.
Python Subpackage Structure and Imports
How to structure Python subpackages, use relative imports, and avoid common import errors in larger projects.
Python Package Import: Syntax, Structure, and Pitfalls
python package import: Learn how Python resolves package imports, the role of __init__.py, and how to avoid common import errors with practical examples.
Python __init__.py: Purpose and Usage
Learn how Python's __init__.py works, when to use it, and how to avoid common pitfalls in package design.
Python Package Structure: Layout, Imports, and Packaging
A practical guide to Python package structure: directory layout, __init__.py files, import resolution, and preparing packages for distribution.
Python Packages: Structure, Build, and Publish
Practical guide to creating Python packages: project layout, pyproject.toml, editable installs, dependency management, and publishing to PyPI.
Using Python importlib for Dynamic Imports
python importlib: Learn how to use Python importlib for dynamic imports, module reloading, and custom importers with practical code examples.
Python Module Attributes: Definition, Access, and Common Pitfalls
Learn how Python module attributes are defined, accessed, and modified, including automatically set attributes, wildcard imports with __all__, and common pitfalls around imports and shared state.