| Edition |
Third edition. |
| Description |
xvi, 561 pages : illustrations ; 24 cm |
| Note |
Previous edition: 2017. |
|
Includes index. |
| Contents |
Preliminaries -- Python language basics IPython, and Jupyter notebooks -- Built-in data structures, functions, and files -- NumPy basics: arrays and vectorized computation -- Getting started with pandas -- Data loading, storage, and file formats -- Data cleaing and preparation -- Data wrangling: join, combine, reshape -- Plotting and visualization -- Data aggregation and group operations -- Time series -- Introduction to modeling libraries in Python -- Data analysis examples -- Advanced NumPy -- More on the IPython system. |
| Summary |
"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, 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. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing." -- Provided by publisher |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Data mining.
|
|
Python (Computer program language)
|
|
Programming languages (Electronic computers)
|
|
Data mining. (OCoLC)fst00887946
|
|
Python (Computer program language) (OCoLC)fst01084736
|
| ISBN |
9781098104030 (paperback) |
|
109810403X (paperback) |
|
