Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython: Used

“Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython” is a textbook by Wes Mckinney, published by O’Reilly Media in 2012. This book covers data analysis techniques using Python programming with a focus on popular libraries like Pandas, Numpy, and Ipython. With a total of 463 pages, this trade paperback provides readers with a comprehensive guide on data processing, databases/data mining, and programming languages, specifically Python. It serves as a valuable resource for those looking to enhance their skills in data analysis and manipulation using Python.

Python for Data Analysis: Data Wrangling with Pandas, NumPy, … by Wes McKinney

Author:Mckinney, Wes. Finding great data analysts is difficult. This pragmatic guide will help train you in one of the most important tools in the field – Python. Filled with practical case studies, Python for Data Analysis demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python.