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Python for Data Analysis Data Wrangling with pandas NumPy and Jupyter 3rd Edition by Wes Mckinney ISBN 109810403X 978-1098104030

Name: Python for Data Analysis Data Wrangling with pandas NumPy and Jupyter 3rd Edition by Wes Mckinney ISBN 109810403X 978-1098104030
SKU: EB-55545066
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Python for Data Analysis Data Wrangling with pandas NumPy and Jupyter 3rd Edition Wes Mckinney Digital Instant Download

Author(s): Wes McKinney

ISBN(s): 9781098104030, 109810403X

Edition: 3

File Details: EPUB, 6.22 MB

Year: 2022

Language: English

SKU: EB-55545066 Category: Computers - Computer Science Tag: Wes McKinney

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Python for Data Analysis Data Wrangling with pandas NumPy and Jupyter 3rd Edition by Wes Mckinney – Ebook PDF Instant Download/Delivery: 109810403X, 978-1098104030

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Product details:

ISBN 10: 109810403X

ISBN 13: 978-1098104030

Author: Wes Mckinney

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.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

Use the Jupyter notebook and IPython shell for exploratory computing
Learn basic and advanced features in NumPy
Get started with data analysis tools in the pandas library
Use flexible tools to load, clean, transform, merge, and reshape data
Create informative visualizations with matplotlib
Apply the pandas groupby facility to slice, dice, and summarize datasets
Analyze and manipulate regular and irregular time series data
Learn how to solve real-world data analysis problems with thorough, detailed examples

Preface
Conventions Used in This Book
Using Code Examples
O’Reilly Online Learning
How to Contact Us
Acknowledgments
In Memoriam: John D. Hunter (1968–2012)
Acknowledgments for the Third Edition (2022)
Acknowledgments for the Second Edition (2017)
Acknowledgments for the First Edition (2012)
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 Cleaning and Preparation
Data Wrangling: Join, Combine, and 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
Index
About the Author

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Tags: Wes Mckinney, Python for Data, Analysis Data Wrangling, with pandas NumPy and Jupyter