Created
September 3, 2013 09:08
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# same as Mynt, which requires PyYAML | |
from yaml import load_all | |
with open('this_file.md') as f: | |
# "---" is used to separate mutliple YAML entries, | |
# so the loader returns a generator | |
yaml_gen = load_all(f.read(), Loader=Loader) | |
description = next(yaml_gen) # get first entry only | |
print(description) # description should be a dict | |
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--- | |
layout: fb_fan | |
title: &title A guide to analyzing Python performance | |
author: 亮亮 | |
source: | |
title: *title | |
author: Huy Nguyen | |
link: http://www.huyng.com/posts/python-performance-analysis/ | |
# pic: /path/to/post/pic.png # 粉絲頁連結的圖片 | |
abstract: | |
# 這邊可以打多行的簡單介紹,但因為主要是發在 FB 粉絲頁上, | |
# 要盡量控制文長,並且不支援任何 markdown 語法。 | |
> | |
本篇文章介紹如何使用 Python 套件來衡量 Python 程式的執行效率, | |
分別從執行時間、記憶體用量來找出 bottleneck 以及 memory leak 的所在處。 | |
文中提供了豐富的範例程式與說明,也介紹了從基本到進階的分析方法, | |
想要提昇程式的效率?本文值得各位參考! | |
--- |
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