Python for Data Analysis Risk the four areas of bank

the four areas of bank regulation and

operational planning

The source code for all major examples presented in the book is available in a public GitHub repository

This thematic approach bridges the gap between theoretical concepts and practical applications

Python for Data Analysis Risk the four areas of bankGet the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3. 9 and pandas 1. 2, the third edition of this hands on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book