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Foundational Python for Data Science
book

Foundational Python for Data Science

by Kennedy Behrman
September 2021
Beginner to intermediate
256 pages
6h 48m
English
Addison-Wesley Professional
Content preview from Foundational Python for Data Science

Table of Contents

Preface

I: Learning Python in a Notebook Environment

1   Introduction to Notebooks

Running Python Statements

Jupyter Notebooks

Google Colab

Colab Text Cells

Colab Code Cells

Colab Files

Managing Colab Documents

Colab Code Snippets

Existing Collections

System Aliases

Magic Functions

Summary

Questions

2   Fundamentals of Python

Basic Types in Python

High-Level Versus Low-Level Languages

Statements

Performing Basic Math Operations

Using Classes and Objects with Dot Notation

Summary

Questions

3   Sequences

Shared Operations

Testing Membership

Indexing

Slicing

Interrogation

Math Operations

Lists and Tuples

Creating Lists and Tuples

Adding and Removing List Items

Unpacking

Sorting Lists

Strings

Ranges

Summary

Questions

4   Other ...

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Publisher Resources

ISBN: 9780136624417