Summary:
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 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. It’s ideal for analysts new to Python and for
Python programmers new to scientific computing. **