我推荐这本书：拉塞尔·杰尼（Russell Jurney）写的《Agile Data Science》[1]。里面的技术栈大概是 2017 年左右的，但关于敏捷数据科学流程和团队的章节永不过时。他把团队角色梳理得非常清楚：从 Biz Dev（商务拓展）、市场营销、PM、UX 设计师，到……
I recommend the book: Agile Data Science by Russell Jurney[1]. The tech stack is circa 2017, but the chapters on the Agile Data Science Process and Teams are timeless. He clearly articulates team roles: from Biz Devs, marketers, PMs, UX designers,…
…spectacular, you aren't getting anything done. Data scientists' code should be "eventually good," that is to say it gets refactored as it approaches a production environment. I talk about this in my last book, Agile Data Science 2.0 (Amazon 4.1 stars 7 years after publishing). https://www.amazon.com/Agile-Data-Science-2-0-Applications/d... I will say that after 20 years of working as a software engineer, data engineer, data scientist…
考虑到办公场地租金跟人工成本比起来有多便宜，把员工塞进越来越狭小的工位（不管带不带隔板）这种趋势简直是疯了。我在《Agile Data Science》（O'Reilly, 2012）里写过关于优秀的数据科学/工程师办公环境的内容。你可以在这里看：https://www.safaribooksonline.com/library/view/agile-data-sc... 原文粘贴如下：敏捷环境：工程生产力 通才需要更多不受打扰的……
Considering how cheap office space is compared to labor, the trend of compacting workers into ever tinier cubes (with or without walls) is insane. I wrote about good data science/engineer environments in Agile Data Science (O'Reilly, 2012). You can read it here: https://www.safaribooksonline.com/library/view/agile-data-sc... Pasted inline: Agile Environments: Engineering Productivity Generalists require more uninterrupted…
我推荐这本书：拉塞尔·杰尼（Russell Jurney）写的《Agile Data Science》[1]。里面的技术栈大概是 2017 年左右的，但关于敏捷数据科学流程和团队的章节永不过时。他把团队角色梳理得非常清楚：从 Biz Dev（商务拓展）、市场营销、PM、UX 设计师，到……
I recommend the book: Agile Data Science by Russell Jurney[1]. The tech stack is circa 2017, but the chapters on the Agile Data Science Process and Teams are timeless. He clearly articulates team roles: from Biz Devs, marketers, PMs, UX designers,…
……太壮观了，你什么也没做成。数据科学家的代码应该是“最终变好”，也就是说，当它接近生产环境时会被重构。我在我的上一本书《Agile Data Science 2.0》中谈到了这一点（出版 7 年后亚马逊 4.1 星）。https://www.amazon.com/Agile-Data-Science-2-0-Applications/d... 我要说的是，在做了 20 年的软件工程师、数据工程师、数据科学家之后……
…spectacular, you aren't getting anything done. Data scientists' code should be "eventually good," that is to say it gets refactored as it approaches a production environment. I talk about this in my last book, Agile Data Science 2.0 (Amazon 4.1 stars 7 years after publishing). https://www.amazon.com/Agile-Data-Science-2-0-Applications/d... I will say that after 20 years of working as a software engineer, data engineer, data scientist…
考虑到办公场地租金跟人工成本比起来有多便宜，把员工塞进越来越狭小的工位（不管带不带隔板）这种趋势简直是疯了。我在《Agile Data Science》（O'Reilly, 2012）里写过关于优秀的数据科学/工程师办公环境的内容。你可以在这里看：https://www.safaribooksonline.com/library/view/agile-data-sc... 原文粘贴如下：敏捷环境：工程生产力 通才需要更多不受打扰的……
Considering how cheap office space is compared to labor, the trend of compacting workers into ever tinier cubes (with or without walls) is insane. I wrote about good data science/engineer environments in Agile Data Science (O'Reilly, 2012). You can read it here: https://www.safaribooksonline.com/library/view/agile-data-sc... Pasted inline: Agile Environments: Engineering Productivity Generalists require more uninterrupted…