Hands-on example-based approach enables readers to learn by doing, reinforcing key concepts
Covers combining datasets, handling missing data, and structuring data for analysis and visualization
Demonstrates advanced data cleaning techniques including string manipulation and function application
Guides users through modeling, clustering, inference, and exploration using Python libraries
Introduces the broader Python data analysis ecosystem for expanded capabilities
Summarized by Shop
The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python
Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can h
Format
E-Book
Language
English
Author
Daniel Y Chen
Content
Data analysis with pandas in Python
Includes
Realistic dataset, data visualization, modeling, clustering, and more