Python for Data Analysis 2nd Edition [True PDF]

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Book Description

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython.

Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.


Table of Contents

Chapter 1 Preliminaries
Chapter 2 Python Language Basics, IPython, and Jupyter Notebooks
Chapter 3 Built-in Data Structures, Functions, and Files
Chapter 4 NumPy Basics: Arrays and Vectorized Computation
Chapter 5 Getting Started with pandas
Chapter 6 Data Loading, Storage, and File Formats
Chapter 7 Data Cleaning and Preparation
Chapter 8 Data Wrangling: Join, Combine, and Reshape
Chapter 9 Plotting and Visualization
Chapter 10 Data Aggregation and Group Operations
Chapter 11 Interlude: Data Analysis Examples
Chapter 12 Time Series
Chapter 13 Advanced NumPy
Chapter 14 Using Modeling Libraries with pandas
Chapter 15 Examples Data Sets
Appendix Advanced IPython and Jupyter

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏13 回帖

关键词：Analysis Edition Analysi Analys dition

谢谢楼主分享！

谢谢楼主分享！

谢谢楼主分享

感谢分享！

楼主威武，多谢分享~

这本确实是真实版的第二版，感谢楼主这么辛苦找到这么好的资料，再次感谢！

谢谢分享啊

谢谢楼主分享！