Python for Data Analysis

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Y...

全面介绍

Saved in:
书目详细资料
主要作者: McKinney, Wes
格式: 图书
语言:英语
出版: Mumbai Shroff Publication 2022
版:3rd ed.
主题:
标签: 添加标签
没有标签, 成为第一个标记此记录!
实物特征
总结:Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Item Description:Data Wrangling with Pandas, NumPy, and Jupyter
实物描述:xvi,561p
ISBN:9789355421906