Python Para Análise de Dados: 9788575226476: Wes McKinney, Lúcia A. Kinoshita

The Python Data Science Handbook is a comprehensive guide to manipulating, processing, cleaning, and extracting insights from datasets in Python.

Written by Wes McKinney, creator of the pandas project, this book provides practical and modern introductions to data science tools in Python.

With updated content for Python 3.6, the handbook includes practical cases studies that demonstrate how to solve a wide range of data analysis problems efficiently.

Whether you're a beginner or an experienced analyst, this book will help you get started with the latest versions of pandas, NumPy, IPython, and Jupyter.

You'll learn how to use these tools to load, clean, transform, combine, and visualize data, as well as solve real-world data analysis problems.

Get ready to unlock the full potential of Python for data science!