PickVidsPython at Massive Scale - Stephen Simmons, Neil Slinger
推荐理由
4500 developers making 20k commits a week. Codebase with 35m LOC.
说明
这是2018年由PyData发布的一部演讲，主题归在Python, Ruby & scripting languages。它讲的是large-scale python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：A PyData London 2018 talk on how JPMorgan scaled its Athena Python platform over ten years to about 35 million lines of code and thousands of developers. It covers infrastructure, tooling and culture for analytics and visualization at that scale.这些读者给出的理由，核心是：Cited as the definitive public account of Python at massive scale, especially in discussions of monorepos and bank Python.它贴着当时的技术，看的时候要记得那是那个年份的判断。从2018年到2022年，有1位不同的读者在1个不同月份把它推荐出来，其中明确叫别人去看的有0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large-scale python变成能跟着复述的例子。
视频信息
- 频道
- PyData
- 时长
- 44 分 45 秒
- 发布年份
- 2018
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