Python for Data Analysis pdf epub mobi txt 電子書下載2025

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Wes McKinney 資深數據分析專傢，對各種Python庫（包括NumPy、pandas、matplotlib以及IPython等）等都有深入研究，並在大量的實踐中積纍瞭豐富的經驗。撰寫瞭大量與Python數據分析相關的經典文章，被各大技術社區爭相轉載，是Python和開源技術社區公認的權威人物之一。開發瞭用於數據分析的著名開源Python庫——pandas，廣獲用戶好評。在創建Lambda Foundry（一傢緻力於企業數據分析的公司）之前，他曾是AQR Capital Management的定量分析師。

出版者:O'Reilly Media

作者:Wesly McKinney

出品人:

頁數:450

译者:

出版時間:2013-6-16

價格:0

裝幀:Paperback

isbn號碼:9781549329784

叢書系列:

圖書標籤:

Python
數據分析
python大數據分析
Python基礎教程
計算機
編程
python
python培訓

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這本書主要是用 pandas 連接 SciPy 和 NumPy，用pandas做數據處理是Pycon2012上一個很熱門的話題。另一個功能強大的東西是Sage，它將很多開源的軟件集成到統一的 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

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作者對於利用Python進行數據分析有著很豐富的經驗，因此寫齣的書也是深入淺齣，讓人很容易就能看懂，尤其是在我看過Python學習手冊後再看，基本都能看懂。其中譯者的翻譯非常值得稱道，堪稱良心之作，非常的用心。感謝Python社區的無私奉獻的程序員們，也感謝我們有這麼好的...

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中文翻譯（非官方）在綫閱讀：https://www.jianshu.com/p/04d180d90a3f EPUB：https://github.com/wizardforcel/data-science-notebook/files/1693923/Python.SeanCheney.zip =============================================================================

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