Hands-on approach with practical case studies for real-world data analysis problems
Updated for Python 3.10 and Pandas 1.4 to ensure up-to-date knowledge
Comprehensive coverage of numpy, matplotlib, and Jupyter Notebook for exploratory computing
Step-by-step guidance for loading, cleaning, transforming, and visualizing datasets
Includes access to data files and Jupyter notebooks on GitHub for further learning
Summarized by Shop
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, 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 panda