Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

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(as of Nov 22,2024 21:55:05 UTC – Details)

From the Publisher

What Is This Book About?

This ebook is worried with the nuts and bolts of manipulating, processing, cleansing, and crunching knowledge in Python. My objective is to supply a information to the elements of the Python programming language and its data-oriented library ecosystem and instruments that may equip you to develop into an efficient knowledge analyst. While ‘knowledge evaluation’ is within the title of the ebook, the main focus is particularly on Python programming, libraries, and instruments versus knowledge evaluation methodology. This is the Python programming you want for knowledge evaluation.

New for the Second Edition

The first version of this ebook was revealed in 2012, throughout a time when open supply knowledge evaluation libraries for Python (equivalent to pandas) have been very new and growing quickly. In this up to date and expanded second version, I’ve overhauled the chapters to account each for incompatible modifications and deprecations in addition to new options which have occurred within the final 5 years.

I’ve additionally added contemporary content material to introduce instruments that both didn’t exist in 2012 or had not matured sufficient to make the primary lower. Finally, I’ve tried to keep away from writing about new or cutting-edge open supply initiatives that will not have had an opportunity to mature. I would really like readers of this version to search out that the content material remains to be nearly as related in 2020 or 2021 as it’s in 2017.

The main updates on this second version embrace: All code, together with the Python tutorial, up to date for Python 3.6 (the primary version used Python 2.7) Updated Python set up directions for the Anaconda Python Distribution & different Python packages Updates for the newest variations of the pandas library in 2017 A brand new chapter on some extra superior pandas instruments, and another utilization suggestions A quick introduction to utilizing statsmodels and scikit-learn Reorganized since from the primary version to make the ebook extra accessible to newcomers.

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Publisher ‏ : ‎ O’Reilly Media; 2nd version (October 31, 2017)
Language ‏ : ‎ English
Paperback ‏ : ‎ 550 pages
ISBN-10 ‏ : ‎ 1491957662
ISBN-13 ‏ : ‎ 978-1491957660
Item Weight ‏ : ‎ 2.08 kilos
Dimensions ‏ : ‎ 7 x 1.3 x 9.1 inches