Python for Data Analysis, O'Reilly, softcover

Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language. Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

The book is in excellent shape and will come as shown in the photos, practically brand new honestly. This is a great resource for anyone looking to dive in on learning this popular programming language. Let me know if you have any questions. Thanks for looking!