Python for Data Analysis pdf epub mobi txt 电子书下载 2025

☆☆☆☆☆

Wes McKinney 资深数据分析专家，对各种Python库（包括NumPy、pandas、matplotlib以及IPython等）等都有深入研究，并在大量的实践中积累了丰富的经验。撰写了大量与Python数据分析相关的经典文章，被各大技术社区争相转载，是Python和开源技术社区公认的权威人物之一。开发了用于数据分析的著名开源Python库——pandas，广获用户好评。在创建Lambda Foundry（一家致力于企业数据分析的公司）之前，他曾是AQR Capital Management的定量分析师。

出版者:O'Reilly Media

作者:Wesly McKinney

出品人:

页数:450

译者:

出版时间:2013-6-16

价格:0

装帧:Paperback

isbn号码:9781549329784

丛书系列:

图书标签:

Python
数据分析
python大数据分析
Python基础教程
计算机
编程
python
python培训

下载链接在页面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

这本书主要是用 pandas 连接 SciPy 和 NumPy，用pandas做数据处理是Pycon2012上一个很热门的话题。另一个功能强大的东西是Sage，它将很多开源的软件集成到统一的 Python 接口。

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.

Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

Use the IPython interactive shell as your primary development environment

Learn basic and advanced NumPy (Numerical Python) features

Get started with data analysis tools in the pandas library

Use high-performance tools to load, clean, transform, merge, and reshape data

Create scatter plots and static or interactive visualizations with matplotlib

Apply the pandas groupby facility to slice, dice, and summarize datasets

Measure data by points in time, whether it’s specific instances, fixed periods, or intervals

Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

具体描述

读后感

评分☆☆☆☆☆

书的内容不错，很适合做量化建模工具书，但是这个翻译真是不敢恭维，有些地方翻译的语句不通，有些地方直接译错了，比如刚才看到第220页写的“通常，我们不会使用DataFrame中一个或多个列作为行索引”，感觉这话说反了，看了一下英文原版电子版，原文是“It‘s not unusual to ...

评分☆☆☆☆☆

1.调试轮子的时候发现，pandas由于基于numpy，有多个float数据类型（float16/float32/float64），多个float类型会被pandas认为是不同类导致无法进行后续处理，用apply方法把数据全转成字符串再转回来就行。但是如果直接用type查看类型返回的class都是float。不定期更新…

评分☆☆☆☆☆