量化项目交付

Lesson Overview

In "Python Quant Trading Lab" → "本地研究引擎与接口边界", this lesson "量化项目交付" builds knowledge you can apply immediately.

量化项目交付应让另一人无需账户和口头说明即可复现。依赖、命令、输入、输出和失败边界都属于内容，不只一条收益曲线。 整理README/requirements/CSV/脚本→记录版本→运行自检→对照预期→写未验证项→本地归档。 本课作业：提交可复现材料清单与运行结果摘要，包含至少一次错误输入被拒绝的证据。

Core Concepts

These points align with the video walkthrough—take notes as you watch.

• ▸量化项目交付应让另一人无需账户和口头说明即可复现。依赖、命令、输入、输出和失败边界都属于内容，不只一条收益曲线。
• ▸整理README/requirements/CSV/脚本→记录版本→运行自检→对照预期→写未验证项→本地归档。
• ▸本课作业：提交可复现材料清单与运行结果摘要，包含至少一次错误输入被拒绝的证据。

Practical Application

After studying, complete the practice tasks below to move from understanding to doing.

• ▸Follow along in Jupyter or VS Code
• ▸Log how parameter changes affect backtest results
• ▸Submit a reproducible analysis notebook

FAQ

• ▸Q: How does this lesson fit the course? A: Part of "本地研究引擎与接口边界"—follow the curriculum order.
• ▸Q: What do I need? A: Demo account and notes; quant lessons need a Python environment.
• ▸Q: How do I know I've mastered it? A: Pass the quiz and explain three key points of 量化项目交付 on your own.