Python for Data Analysis ─ Data Wrangling with Pandas, Numpy, and IPython
- ISBN13：9781491957660
- 出版社：OREILLY MEDIA
- 作者：Wes Mckinney
- 裝訂／頁數：平裝／550頁
- 規格：24.1cm*18.4cm*2.5cm (高/寬/厚)
- 版次：2
- 出版日：2017/09/25
商品簡介
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.
作者簡介
Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as a quantitative analyst at AQR Capital Management and Python consultant before founding DataPad, a data analytics company, in 2013. He graduated from MIT with an S.B. in Mathematics.
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