Python for Data Analysis

by Wes McKinney

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.

Genres: Programming, Computer Science, Technology, Nonfiction, Coding, Reference, Technical

400 pages, Paperback

First published December 30, 2011

Reviews

[박은정 Park · Rating 2 out of 5]

여러 official docs를 merging한 느낌인데, 12장 정도 빼고는 그들보다 나은 부분을 발견하지 못해서 아쉽다. 재밌는 application 몇 개만 보여줬어도 좋았을텐데!