SciPy（Scientific Python）是基于 NumPy 构建的数学算法与便捷函数集合，它为 Python 提供了科学计算所需的高层命令与类，覆盖优化、积分、插值、信号处理、统计、稀疏矩阵等几乎所有科学计算领域。

本文是 SciPy scipy.sparse 稀疏数组的实战入门指南，围绕仓库内 doc/source/tutorial/sparse.rst 教程展开，结合 scipy/sparse 模块源码，系统讲解稀疏数组与稠密数组的差异、七种存储格式的取舍、坐标式（COO）构造方法，以及隐式零、重复项、规范格式等容易踩坑的关键概念。

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