McKinney,Wes  <br/><br/>
Python for Data Analysis  Data Wrangling with Pandas, NumPy, and Jupyter 
Wes McKinney 
 - 3 
 - Beijing  O'Reilly  2022 
 - xvi, 561 p 
<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 cleaing and preparation<br/>Data wrangling: join, combine, reshape<br/>Plotting and visualization<br/>Data aggregation and group operations<br/>Time series<br/>Introduction to modeling libraries in Python<br/>Data analysis examples<br/>Advanced NumPy<br/>More on the IPython system 
<br/><br/> Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, and Jupyter in the process 
<br/><br/><label>ISBN: </label>978-9355421906 (PB) 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Data mining Exploration de données (Informatique)   <br/>Programming languages (Electronic computers)<br/>Python (Computer program language)
<br/><br/><label>Dewey Class. No.: </label>005.133  / MCK