Python for Data Analysis" by Wes McKinney is a practical and widely respected guide for anyone working with data using Python. Written by the creator of the Pandas library, it offers an in-depth look into data manipulation, wrangling, and analysis using tools like Pandas, NumPy, and IPython.

Pros:
Comprehensive: The book provides a clear and structured introduction to data analysis with Python, making it suitable for those with basic programming knowledge.
Practical Examples: Real-world datasets and scenarios are used to demonstrate concepts, ensuring applicability.
Expert Insight: Since Wes McKinney developed Pandas, the book delivers valuable insights into this essential library.
Cons:
Not for Absolute Beginners: Readers need a basic understanding of Python, as the book skips over foundational programming concepts.
Outdated in Parts: Some content may not cover the latest updates to Python libraries, so cross-checking with newer resources is beneficial.

I just read this book, many new things to learn