Kennedy Behrman

Quickly navigate your eTextbook with search

Find it fast

Stay organized

Easily continue access

A digital version of the text you can personalize and read online or offline.

eTextbook

Foundational Python for Data Science

A digital version of the text you can personalize and read online or offline. If your instructor has invited you to join a specific Pearson eTextbook course for your class, you will need to purchase your eText through the course invite link they provide.

Now available on

<div>Preface</div><div><br></div><div><b>Part I:&nbsp; Learning Python in a Notebook Environment</b></div><div><br></div><div>1&nbsp; &nbsp;Introduction to Notebooks</div><div><br></div><div>2&nbsp; &nbsp;Fundamentals of Python</div><div><br></div><div>3&nbsp; &nbsp;Sequences</div><div><br></div><div>4&nbsp; &nbsp;Other Data Structures</div><div><br></div><div>5&nbsp; &nbsp;Execution Control</div><div><br></div><div>6&nbsp; &nbsp;Functions</div><div><br></div><div><br></div><div><b>Part II:&nbsp; Data Science Libraries</b></div><div><br></div><div>7&nbsp; &nbsp;Numpy</div><div><br></div><div>8&nbsp; &nbsp;Scipy</div><div><br></div><div>9&nbsp; &nbsp;Pandas</div><div><br></div><div>10&nbsp; &nbsp;Visualization Libraries</div><div><br></div><div>11&nbsp; &nbsp;Machine Learning Libraries</div><div><br></div><div>12&nbsp; &nbsp;Natural Language Toolkit</div><div><br></div><div><br></div><div><b>Part III:&nbsp; Intermediate Python</b></div><div><br></div><div>13&nbsp; &nbsp;Functional Programming</div><div><br></div><div>14&nbsp; &nbsp;Object-Oriented Programming</div><div><br></div><div>15&nbsp; &nbsp;Other Topics</div><div><br></div><div>A&nbsp; &nbsp;Answers to Selected Exercises&nbsp;</div><div><br></div><div>Index</div><div><br></div>

Foundational Python for Data Science, 1st edition