Python para análisis de datos (TÍTULOS ESPECIALES)

Python para análisis de datos Paperback – February 16, 2023 is the ultimate guide for manipulating, processing, cleaning, and restraining data sets in Python. This third edition is updated for Python 3.10 and pandas 1.4.0, providing practical cases that effectively demonstrate how to solve a wide variety of data problems. Written by Wes McKinney, the book offers a modern and practical introduction to Python's data science tools, making it ideal for non-Python analysts and programmers aiming to delve into data science and computational science.

• Author: Wes McKinney
• Publication Date: February 16, 2023
• Language: Spanish
• Pages: {{Page Number}}
• Publisher: {{Publisher}}

• Updated for Python 3.10 and pandas 1.4.0
• Practical cases for effective problem-solving
• Introduction to Python's data science tools
• Ideal for non-Python analysts and programmers

• Ideal for beginners and experienced individuals in data science
• Suitable for learning Jupyter Notebook and the IPython shell for data exploration
• Useful for gaining insight into basic and advanced NumPy functions
• Helpful in mastering data analysis tools of the pandas library
• Effective for creating informative visualizations using matplotlib

This product competes with well-known Python data analysis books available in the market.

• Readers appreciate the updated content for Python 3.10 and pandas 1.4.0
• The practical cases have been mentioned as a key feature by many
• The book is highly recommended for beginners stepping into data science

• The price of this book is competitive compared to similar Python data analysis books in the market.

• Consider the publication date and language to ensure it meets your requirements.
• Review the key features and usage scenarios to determine if they align with your learning goals.

Python para análisis de datos Paperback – February 16, 2023 serves as a valuable resource for individuals looking to master data analysis in Python. With its updated content and practical cases, it offers an ideal learning platform for both beginners and experienced individuals entering the field of data science.