Looking for complete instructions on manipulating, processing, cleaning, and crunching structured Data in Python? The second edition of this hands-on guide--updated for Python 3.6 and the latest versions of NumPy, IPython, Jupyter, and Pandas in 2017--is packed with practical cases studies that show you how to effectively solve a broad set of Data analysis problems using Python.
Written by Wes McKinney, the main author of the Pandas library, Python for Data Analysis also serves as a pra.
Looking for complete instructions on manipulating, processing, cleaning, and crunching structured Data in Python? The second edition of this hands-on guide--updated for Python 3.6 and the latest versions of NumPy, IPython, Jupyter, and Pandas in 2017--is packed with practical cases studies that show you how to effectively solve a broad set of Data analysis problems using Python