McKinney, Wes <br/><br/>
Python for data analysis :  Data Wrangling wit Pandas, NumPy, and IPython 
Wes McKinney 
 - 2nd Ed. 
 - Beijing :  O'Reilly,   2018 
 - 522 pages :  ill.;  24 cm. 
<br/><br/> Preliminaries<br/>  Python language basics, IPython, and Jupyter notebooks<br/>  Built-in data structures, functions, and files<br/>  NumPy basics: arrays and vectorized computation<br/>  Getting started with pandas<br/>  Data loading, storage, and file formats<br/>  Data cleaning and preparation<br/>  Data wrangling: join, combine, and reshape<br/>  Plotting and visualization<br/>  Data aggregation and group operations<br/>  Time series<br/>  Advanced pandas<br/>  Introduction to modeling libraies in Python<br/>  Data analysis examples<br/>  Advanced NumPy<br/>  More on the IPython system 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>9789352136414 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Python (Computer program language)<br/>Data mining<br/>Programming languages (Electronic computers)
<br/><br/><label>Dewey Class. No.: </label>005.133  / MCK