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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... more...
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... more...