R和Python数据分析简介：并行方法（True EPUB）

English | 2023 | ISBN: 1032203250 | 295 pages | True EPUB | 12.58 MB

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages.

All data for exercises can be found here:https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book's website.

Key features - Teaches R and Python in a "side-by-side" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students. - Does not assume any mathematical background.

英文| 2023 |国际标准图书编号：1032203250 | 295页|真正的EPUB | 12.58 MB R和Python数据分析入门有助于教学生同时用R和Python编写代码。由于R和Python都可以以类似的方式使用，因此同时学习两者是有用且高效的，可以帮助讲师和学生教和学更多东西，节省时间，同时加强系统的共享概念和差异。这种串联学习对学生来说非常有用，可以帮助他们掌握两种语言，并培养学习后方便的技能。这本书假定没有计算方面的经验，旨在供来自不同背景的学生使用。这本书的并排格式有助于入门研究生快速掌握R和Python的基础知识，练习可以帮助他们在完成课程后自学所需的技能，因为雇主现在要求他们同时具备R和Python能力。教师和讲师也会发现这本书在他们的教学中很有用，它提供了一份独特的工作，帮助确保他们的学生在两种计算机语言方面都得到了很好的训练。 练习的所有数据都可以在这里找到：https://github.com/tbrown122387/r_and_python_book/tree/master/data.讲师可以通过本书的网站访问解决方案手册。 关键特性-以“并排”的方式教授R和Python。-示例是为有抱负的数据科学家和统计学家量身定制的，而不是软件工程师专为入门级研究生设计。-不具备任何数学背景。

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