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Python For Data Analysis : Data Wrangling With Pandas Numpy And Ipython
Paperback Edition: 2
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn
the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing.
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Pages : 522
Publisher : O'Reilly
Publication date : 2017-11
Subjects: Non-fiction, Science And Technology, Computing And IT, Data Mining, Web Programming, Specials