Learn Python by Building Data Science Applications

coverpage

Title Page

Copyright and Credits

Learn Python by Building Data Science Applications

About Packt

Why subscribe?

Contributors

About the authors

About the reviewers

Packt is searching for authors like you

Preface

Who this book is for

What this book covers

To get the most out of this book

Download the example code files

Download the color images

Code in Action

Conventions used

Get in touch

Reviews

Section 1: Getting Started with Python

Preparing the Workspace

Technical requirements

Installing Python

Downloading materials for running the code

Installing Python packages

Working with VS Code

The VS Code interface

Beginning with Jupyter

Notebooks

The Jupyter interface

Pre-flight check

Summary

Questions

Further reading

First Steps in Coding - Variables and Data Types

Technical requirements

Assigning variables

Naming the variable

Understanding data types

Floats and integers

Operations with self-assignment

Order of execution

Strings

Formatting

Format method

F-strings

Legacy formatting

Formatting mini-language

Strings as sequences

Booleans

Logical operators

Converting the data types

Exercise

Summary

Questions

Further reading

Functions

Technical requirements

Understanding a function

Interface functions

The input function

The eval function

Variable properties

The help function

The type function

The isinstance function

dir

Math

abs

The round function

Iterables

The len function

The sorted function

The range function

The all and any functions

The max min and sum functions

Defining the function

Default values

Var-positional and var-keyword

Docstrings

Type annotations

Refactoring the temperature conversion

Understanding anonymous (lambda) functions

Understanding recursion

Summary

Questions

Further reading

Data Structures

Technical requirements

What are data structures?

Lists

Slicing

Tuples

Immutability

Dictionaries

Sets

More data structures

frozenset

defaultdict