滿額折
Organizing Python: Modules, Packages, and Project Structure: A Comprehensive Guide for Structuring, Managing, and Distributing Your Python Projects
商品資訊
ISBN13：9798288416705
出版社：Independently published
作者：Pythquill Publishing
出版日：2025/06/17
裝訂：平裝
規格：27.9cm*21.6cm*1.3cm (高/寬/厚)
商品簡介
商品簡介
What You Will Learn in This Book
- Master the fundamentals of Python code organization, understanding why a structured approach is crucial for readability, maintainability, reusability, and collaborative development.
- Effectively utilize Python modules to break down large programs, reuse code, and manage namespaces, along with best practices for their creation and design.
- Implement Python packages to structure larger projects hierarchically, avoiding naming conflicts and streamlining complex application development.
- Navigate Python's module search path (sys.path) to ensure your custom modules and packages are correctly discovered and imported.
- Apply best practices for writing clean, maintainable modules and packages, including naming conventions, docstrings, minimizing side effects, and avoiding common pitfalls like circular imports.
- Leverage key standard library modules to efficiently handle common programming tasks, from file system interactions to data manipulation and more.
- Differentiate between absolute and relative imports, understanding when and how to use each for clear and robust package importing.
- Optimize the use of __init__.py files for package initialization, API exposure, and internal module aggregation.
- Create and manage isolated Python environments using venv or conda to prevent dependency conflicts and ensure project reproducibility.
- Manage project dependencies effectively using pip and requirements.txt files, and gain an introduction to modern tools like pyproject.toml.
- Design and implement common project structures for various Python applications, including web applications, data science projects, and libraries.
- Build installable Python packages using setuptools and pyproject.toml, preparing your code for wider distribution.
- Publish your Python packages to PyPI, making your creations easily accessible to others in the Python community.
- Identify and avoid common anti-patterns in code organization, leading to more robust and scalable applications.
- Integrate code quality tools such as linters, formatters, and import sorters into your development workflow for consistent and high-quality code.
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