PsiACE

Friendly Python

本文基于 Frost Ming “friendly python” 标签下的文章，整理出偏向工程实践的开发范式、规范与典型好/坏代码范式示例。重点是“对使用者友好 + 对维护者友好”，并强调在 Python 中利用语言特性与生态扩展点进行合理抽象。

资料来源

• https://frostming.com/posts/2021/07-07/friendly-python-1/
• https://frostming.com/posts/2021/07-23/friendly-python-2/
• https://frostming.com/posts/2022/friendly-python-oop/
• https://frostming.com/posts/2024/friendly-python-reuse/
• https://frostming.com/posts/2025/friendly-python-port/

PsiACE

import pandas as pd
import numpy as np

import opendal
 
# A ~300MB file with compression='none'
row_count = 18000000
df = pd.DataFrame({
    'A': np.random.randn(row_count),  # float64
    'B': np.random.randint(0, 100, size=row_count),  # int32

PsiACE

import pandas as pd
import numpy as np
# git clone https://github.com/fsspec/s3fs/
# cd s3fs
# pip install -e .
import s3fs
print(s3fs.__file__)

# A ~300MB file with compression='none'
row_count = 18000000