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Pocket Primer

Python Tools for Data Scientists Pocket Primer

Frontmatter

Contents

Preface

Chapter 1: Introduction to Python

Chapter 2: Introduction to NumPy

Chapter 3: Introduction to Pandas

Chapter 4: Working with Sklearn and Scipy

Chapter 5: Data Cleaning Tasks

Chapter 6: Data Visualization

Appendix A: Working with Data

Appendix B: Working with awk

Index

code.zip

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available.

As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data...

Format

Python Tools for Data Scientists Pocket Primer

Oswald Campesato

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