Campesato Oswald. Python 3 and Data Analytics Pocket Primer

Mercury Learning and Information, 2021. — 258 p. — ISBN 978-1683926542.As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available for downloading with Amazon proof of purchase by writing to info@merclearning.com.FeaturesIncludes a concise introduction to Python 3
Provides a thorough introduction to data and data cleaning
Covers NumPy and Pandas
Introduces statistical concepts and data visualization (Matplotlib/Seaborn)
Features an appendix on regular expressions
Includes companion files with source code and figures(Companion files with source code and color figures are available for downloading with Amazon proof of purchase by writing to info@merclearning.com.Brief TOCIntroduction to Python.
Working with Data.
Introduction to NumPy.
Introduction to Pandas.
Introduction to Probability and Statistics.
Data Visualization.
Appendix.
Regular Expressions.About the AuthorOswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).