Python Data Science Handbook: Essential Tools for Working with Data (Paperback)

Python Data Science Handbook: Essential Tools for Working with Data (Paperback)

作者: Jake VanderPlas
出版社: O'Reilly
出版在: 2016-12-20
ISBN-13: 9781491912058
ISBN-10: 1491912057
裝訂格式: Paperback
總頁數: 548 頁





內容描述


The Python Data Science Handbook provides a reference to the breadth of computational and statistical methods that are central to data-intensive science, research, and discovery. People with a programming background who want to use Python effectively for data science tasks will learn how to face a variety of problems: e.g., how can I read this data format into my script? How can I manipulate, transform, and clean this data? How can I visualize this type of data? How can I use this data to gain insight, answer questions, or to build statistical or machine learning models?
This book is a reference for day-to-day Python-enabled data science, covering both the computational and statistical skills necessary to effectively work with . The discussion is augmented with frequent example applications, showing how the wide breadth of open source Python tools can be used together to analyze, manipulate, visualize, and learn from data.




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