PickVidsHow to Speed up a Python Program 114,000 times.
推荐理由
Humour, serious technical insight and a good reminder of why being a generalist is an advantage.
强烈推荐anoother · 原文
说明
这是2012年由InfoQ发布的一部演讲，主题归在Software performance & optimization。它讲的是performance optimization这一支里的具体问题，而不是把整个领域扫一遍。适合已经能看懂基本术语、想继续往下走的人。内容上可以概括成：David Schachter describes how he made a data-collection Python program run 114,000 times faster, drawing on decades of experience. The talk covers pipelining, cache effects and other optimization lessons.这些读者给出的理由，核心是：A favorite tech talk on HN for showing that hardware knowledge and generalist skills beat simply adding machines.讲法不绑某一条新闻，过几年仍然可以当材料看。从2015年到2022年，有3位不同的读者在3个不同月份把它推荐出来，其中明确叫别人去看的有1次。适合一次性看完。讲者把一个判断讲透，演示是在给这个判断配例子。如果已经会了基本定义，就把注意力放在它怎么把performance optimization变成能跟着复述的例子。
视频信息
- 频道
- InfoQ
- 时长
- 59 分 11 秒
- 发布年份
- 2012
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