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"Python for data analysis wes mckinney"

Python for data analysis wes mckinney pdf

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython | McKinney, Wes | ISBN: | Kostenloser Versand für alle Bücher mit. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 2nd Edition, Kindle Edition. by. Wes McKinney (Author) › Visit Amazon's Wes McKinney Page. Rating: 4,4 - ‎ reviews. Python for Data Analysis, 2nd Edition. Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.


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Explore a preview version of Python for Data Analysis right now. 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 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. Skip to main content. Start your free trial. Book Description Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python.

Show and hide more. Table of Contents Product Information. Why Python for Data Analysis? Introductory Examples 1. Structured Array Manipulations: numpy. ISBN:

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Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" BDFL of the open-source pandas package for data analysis in the Python programming language, and has also authored two versions of the reference book Python for Data Analysis. He was the CEO and founder of technology startup Datapad. He was a software engineer at Two Sigma Investments. He founded Ursa Labs. D program in Statistics at Duke University , but went on leave in He went on leave from Duke in the summer of to devote more time to developing Pandas, [4] culminating in the writing of Python for Data Analysis in In he co-founded Lambda Foundry Inc, which developed a data analysis library on the Python stack targeting the Finance Industry.

Datapad developed a data visualization product also on the Python stack targeting enterprise customers. Datapad was funded by Accel Partners and others, [6] and was acquired by Cloudera in September He worked on an open-source project called Ibis, incubated within Cloudera Labs, aiming at using Python for big data problems.

In , he launched Ursa Labs. McKinney has been interviewed by VentureBeat and others. From Wikipedia, the free encyclopedia. Python for data analysis 1 Aufl. Sebastopol, Calif. Retrieved 10 January Python for Data Analysis. Retrieved on 24 October Retrieved Cloudera Engineering Blog. Quantopian Blog. Web Summit Blog.

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Related Books to: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython – Wes McKinney Microsoft Excel Data Analysis and Business Modeling – Wayne Winston The IoT Hacker’s Handbook: A Practical Guide to Hacking the Internet of Things – Aditya Gupta. Feb 18,  · Python for Data Analysis, 2nd Edition. Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media. Buy the book on Amazon. Follow Wes on Twitter: 1st Edition Readers. If you are reading the 1st Edition (published in ), please find the reorganized book materials on the 1st-edition branch. Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython 2nd Edition by Wes McKinney and Publisher O'Reilly Media. Save up to 80% by choosing the eTextbook option for ISBN: , The print version of this textbook is ISBN: ,