Contact us on (02) 8445 2300
For all customer service and order enquiries

Woodslane Online Catalogues

9781683928263 Add to Cart Academic Inspection Copy

Pandas Basics

Description
Author
Biography
Table of
Contents
Google
Preview
This book is intended for those who plan to become data scientists as well as anyone who needs to perform data cleaning tasks using Pandas and NumPy. It contains a variety of code samples and features of NumPy and Pandas, and how to write regular expressions. Chapter 3 includes fundamental statistical concepts and Chapter 7 covers data visualization with Matplotlib and Seaborn. Companion files with code are available for downloading from the publisher.
Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).
1: Introduction to Python 2: Working with Data 3: Introduction to Probability and Statistics 4: Introduction to Pandas (1) 5: Introduction to Pandas (2) 6: Introduction to Pandas (3) 7: Data Visualization Index
Google Preview content