Pandas for Everyone: Python Data Analysis

Pandas is an open-source Python library used for managing and automating data analysis. It provides a wide range of tools and functions for data manipulation, cleaning, exploration, and modeling. The second edition of "Pandas for Everyone" covers new features such as plotting and data visualization, expanded examples and resources, updated Python 3.9 code, and online bonus material on geopandas, Dask, and creating interactive graphics with Altair. The book is designed to help beginners get started with Pandas and covers topics such as working with DataFrames and Series, importing and exporting data, creating plots, combining data sets, handling missing data, reshaping and tidying data sets, applying functions, scaling data manipulations, aggregating, transforming, and filtering large data sets, leveraging advanced date and time capabilities, fitting linear models, using generalized linear modeling, comparing multiple models, regularizing to overcome overfitting, and using clustering in unsupervised machine learning.

Format: Paperback / softback
Length: 512 pages
Publication date: 17 February 2023
Publisher: Pearson Education (US)

In the realm of data analysis, analysts face a daunting challenge: the management of data characterized by its extraordinary variety, velocity, and volume. Fortunately, Python's open-source Pandas library provides a powerful toolset to rapidly automate and execute virtually any data analysis task, regardless of its size or complexity. Pandas empowers users to ensure the accuracy of their data, visualize it for informed decision-making, and reliably reproduce analyses across multiple data sets.

Pandas for Everyone, 2nd Edition, is a comprehensive guide designed to empower individuals with practical knowledge and insights for solving real-world problems using Pandas, even if they are new to Python data analysis. Authored by Daniel Y. Chen, this book introduces key concepts through simple yet practical examples, gradually building upon them to tackle more challenging, real-world data science problems.

The second edition of Pandas for Everyone offers several exciting features, including:

Extended Coverage of Plotting and the Seaborn Data Visualization Library: This edition provides in-depth coverage of plotting techniques using the popular plotting libraries, such as Matplotlib and Seaborn. It offers expanded examples and resources to help readers visualize data effectively and make informed decisions.

Expanded Examples and Resources: The book includes numerous examples and exercises to reinforce the concepts covered. These examples are drawn from various domains, including finance, healthcare, and social sciences, allowing readers to apply their knowledge to real-world scenarios.

Updated Python 3.9 Code and Packages Coverage: The book is fully updated to cover the latest Python 3.9 features and packages, including statsmodels and scikit-learn libraries. This ensures that readers have access to the most up-to-date tools and techniques for data analysis.

Online Bonus Material on Geopandas, Dask, and Creating Interactive Graphics with Altair: In addition to the printed content, readers can access online bonus material on geopandas, Dask, and creating interactive graphics with Altair. These resources provide additional insights and techniques for working with geospatial data and creating visually appealing visualizations.

To get started with Pandas, the book provides a realistic data set and guides users through the process of combining data sets, handling missing data, and structuring data sets for easier analysis and visualization. Chen demonstrates powerful data cleaning techniques, ranging from basic string manipulation to applying functions simultaneously across data frames.

Once the data is prepared, Chen guides readers through fitting models for prediction, clustering, inference, and exploration. He offers tips on performance and scalability and discusses the importance of choosing appropriate modeling techniques for different data sets.

In conclusion, Pandas for Everyone, 2nd Edition, is an essential resource for anyone seeking to leverage the power of Python for data analysis. With its comprehensive coverage, practical examples, and updated Python 3.9 code and packages, this book empowers users to solve real-world problems effectively and make informed decisions based on data. Whether you are a novice or an experienced data analyst, this book will provide you with the skills and knowledge needed to thrive in the data-driven world.

Weight: 801g
Dimension: 232 x 178 x 28 (mm)
ISBN-13: 9780137891153
Edition number: 2 ed