Python para Análise de Dados - 3ª edição: Tratamento de Dados com pandas, NumPy & Jupyter (Portuguese Edition)

This book is a comprehensive guide to data manipulation, processing, cleaning, and extraction using Python.

With updated content for Python 3.10 and pandas 1.4, this third edition provides practical case studies that demonstrate how to solve a wide range of data analysis problems efficiently.

Written by Wes McKinney, the creator of the pandas project, this book is an introduction to practical and modern tools for data science in Python, making it ideal for beginners and experienced programmers alike.

With Jupyter Notebook and IPython shell support for exploratory computing, you'll learn basic and advanced NumPy resources, start using the pandas library's analysis tools, and master flexible data loading, cleaning, transformation, merging, and reformatting techniques.

Additionally, you'll create informative visualizations with Matplotlib and apply the groupBy feature of pandas to detail and summarize datasets.

You'll also learn how to analyze and manipulate time series data, both regular and irregular, and solve real-world data analysis problems with complete and detailed examples.

This updated edition ensures that the book remains the go-to resource for all things related to data analysis with Python and pandas.