Foundational Python for Data Science, 1st edition

Published by Pearson (October 12, 2021) © 2022

  • Kennedy Behrman

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Table of contents

Preface

Part I:  Learning Python in a Notebook Environment

1   Introduction to Notebooks

2   Fundamentals of Python

3   Sequences

4   Other Data Structures

5   Execution Control

6   Functions


Part II:  Data Science Libraries

7   Numpy

8   Scipy

9   Pandas

10   Visualization Libraries

11   Machine Learning Libraries

12   Natural Language Toolkit


Part III:  Intermediate Python

13   Functional Programming

14   Object-Oriented Programming

15   Other Topics

A   Answers to Selected Exercises 

Index

Author bios

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