Elements of Data Science
简介：
本书是面向没有编程经验的人的数据科学导论。我们的目标是提供一个小而强大的Python子集，使您能够尽快在数据科学中进行真正的工作。它并不假设读者对编程、统计学或数据科学一无所知。当它使用一个术语时，它试图立即定义它，当它使用编程功能时，它试图解释它。这本书是在Jupyter笔记本的形式。Jupyter是一个可以在web浏览器中运行的软件开发工具，因此您无需安装任何软件。Jupyter笔记本是包含文本、Python代码和结果的文档。所以你可以像看书一样阅读它，但你也可以修改代码，运行它，开发新程序，并测试它们
英文简介：
This book is an introduction to data science for people with no programming experience. The goal is to present a small, powerful subset of Python that allows you to do real work in data science as quickly as possible.
It doesn't assume that the reader knows anything about programming, statistics, or data science. When it uses a term, it tries to define it immediately, and when it uses a programming feature, it tries to explain it.
This book is in the form of Jupyter notebooks. Jupyter is a software development tool you can run in a web browser, so you don’t have to install any software. A Jupyter notebook is a document that contains text, Python code, and results. So you can read it like a book, but you can also modify the code, run it, develop new programs, and test them
- 书名
- Elements of Data Science
- 译名
- 数据科学的要素
- 语言
- 英语
- 年份
- 2018
- 页数
- 479页
- 大小
- 2.38 MB
- 标签
- 数据科学
- 下载
Elements of Data Science.pdf- 密码
- 65536
最后更新：2025-04-12 23:54:38