[PDF.40ul] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Wes McKinney
[PDF.ff96] Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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| #6907 in Books | imusti | 2012-11-01 | 2012-11-01 | Original language:English | PDF # 1 | 9.19 x.90 x7.00l,1.59 | File type: PDF | 466 pages | O'Reilly Media||29 of 29 people found the following review helpful.| Good for beginners. Faint printing problem. Somewhat outdated in 2016.|By J. Yoon|Pretty good resource for a beginner to Python's data analysis libraries. This book is not for a Python beginner. Although Wes McKinney wrote Pandas, I feel that the Pandas part of the book is somewhat outdated or redundant in 2016. There is an excellent online resource maintained by Wes and o|About the Author|
|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 aquantitative analyst at AQR Capital Manage
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 Pyt...
You easily download any file type for your device.Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython | Wes McKinney.Not only was the story interesting, engaging and relatable, it also teaches lessons.
