Data Science at the Command Line Second Edition

简介:
在本书中,我们将获取,清理,探索和建模数据-其中很多。这本书不是关于如何更好地完成这些数据科学任务。已经有大量的资源可以讨论,例如,何时应用哪种统计测试或如何最好地可视化数据。相反,这本实用的书旨在通过教你如何在命令行执行这些数据科学任务来提高你的效率和生产力。
虽然本书讨论了90多个命令行工具,但最重要的不是工具本身。一些命令行工具已经存在了很长时间,而另一些将被更好的工具所取代。即使您正在阅读本文,也正在创建新的命令行工具。多年来,我发现了许多令人惊叹的命令行工具。不幸的是,其中一些发现为时已晚,无法包含在书中。简而言之,命令行工具来来去去。但这是好。
英文简介:
In this book, we’re going to obtain, scrub, explore, and model data—a lot of it. This book is not so much about how to become better at those data science tasks. There are already great resources available that discuss, for example, when to apply which statistical test or how data can best be visualized. Instead, this practical book aims to make you more efficient and productive by teaching you how to perform those data science tasks at the command line.
While this book discusses more than 90 command-line tools, it’s not the tools themselves that matter most. Some command-line tools have been around for a very long time, while others will be replaced by better ones. New command-line tools are being created even as you’re reading this. Over the years, I have discovered many amazing command-line tools. Unfortunately, some of them were discovered too late to be included in the book. In short, command-line tools come and go. But that’s OK.
- 书名
- Data Science at the Command Line Second Edition
- 译名
- 命令行下的数据科学
- 语言
- 英语
- 年份
- 2021
- 页数
- 283页
- 大小
- 11.50 MB
- 标签
- 数据科学
- 下载
Data Science at the Command Line Second Edition.pdf
- 密码
- 65536
最后更新:2025-04-12 23:58:08
←Isomorphism -- Mathematics of Programming
→Open Workbook of Cryptology: A project-based introduction to crypto in Python