Table Of ContentJOB READY
PYTHON®
JOB READY
PYTHON®
HAYTHEM BALTI
CO-AUTHORED BY KIMBERLY A. WEISS
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About the Authors
Haythem Balti is the dean of education solutions at the mthree Global Academy and
director of curriculum at Software Guild. Haythem created courses used by thousands of
mthree and Software Guild graduates. He earned his doctorate in computer engineering
and computer science from The University of Louisville.
Kimberly A. Weiss is a senior instructional designer at the mthree Global Academy and a
veteran course developer, specializing in computer science courses since 2002. She was an
assistant professor in computer science for over ten years before deciding to focus exclu-
sively on course design. She has worked with multiple universities and in corporate training
settings to develop interactive instructional content appropriate for the target learners
and course goals.
About the
Technical Writer
Bradley Jones is the owner of Lots of Software, LLC. He has programmed in a variety
of languages and tools ranging from C to Unity on platforms ranging from Windows to
mobile and includes the web as well as a little bit of virtual reality for fun. In addition to
programming, he has authored books on C, C++, C#, Windows, the web, and many more
technical topics and a few non technical topics. Bradley has been recognized in the industry
as a community influencer and has been recognized as a Microsoft MVP, a CODiE Judge, an
international technology speaker, a bestselling technical author, and more.
About the
Technical Editor
Doug Holland is a software engineer at Microsoft with over twenty years of experience
designing and developing software. He really enjoys applying the art and science of soft-
ware engineering to real- world problems and holds a master’s degree from Oxford Univer-
sity in software engineering.
Acknowledgments
Although Kim and Haythem are the main authors of this book, this book would not have
been possible without the hard work of the content development and instruction teams at
the Software Guild and mthree.
Contents
About the Authors v Creating a New Jupyter Notebook
About the Technical File 16
Renaming a Jupyter Notebook
Writer v
Project File 18
About the Technical
Saving a Python File Locally 19
Editor v
Opening an Existing Jupyter
Acknowledgments vi Notebook File 20
Introduction xvii A Quick Look at Visual Studio Code 21
Obtaining Visual Studio Code 21
PART I: Adding the Python Extension
Getting Started to Visual Studio Code 22
with Python 1 Using Python from the Command Line 24
Summary 26
Lesson 1: Setting Up a
Exercises 26
Python Programming
Exercise 1: Say Hello 27
Environment 3
Exercise 2: What’s It Do? 27
Python Overview 4 Exercise 3: Counting 27
Using Replit Online 4 Exercise 4: Fruity Code 28
Creating a Replit Account 5
Lesson 2: Understanding
Creating a Python Program in Replit 7
Programming Basics 29
Running a Python Program in Replit 9
Other Replit Tasks 11 The Future of Computer Programming 30
Renaming Your Code File 11 What Is Programming? 30
Saving Your Coding File Locally 12 What Is a Program? 30
Creating a New File for Your Computational Thinking 31
Python Project 12 Programming Languages 32
Adding Files to Your Python Common Components 33
Project 13 Statements 33
Returning to Replit 13 Syntax 33
Getting More Help for Replit 14 Reserved Words 34
Getting Started with Jupyter Operators 35
Notebook 14 Hello, World! 36
Installing Anaconda Jupyter Data Types and Variables 37
Notebook 15 Data Types 37
vii
Text 38 Lesson 4: Working with
Numbers 38 Basic Python Data Types 69
True/False 39
Review of Data Types 70
Date/Time 39
Number Data Types 70
Data Collections 39
Identifying Data Types 72
Variables 40
Mathematical Operations 74
Reserving Memory 42
PEMDAS 77
Variables and Data Types 43
Common Math Functions 81
Constants 44
Math Library Functions 83
Example 1: Area of a Circle 44
Using Numbers with User Input 86
Example 2: Tax Rate 45
Boolean Types and Boolean
Example 3: Output Messages 45
Operations 89
Summary 46
Convert to Boolean 90
Exercises 46
Logic Operations 92
Exercise 1: Daily Tasks 47
Comparative Operators 95
Exercise 2: Python Programming 47
Summary 96
Lesson 3: Exploring Basic Exercises 97
Python Syntax 49 Exercise 1: Prompting the User 97
Exercise 2: Manipulated Math 97
Using with Single- Line Commands 51
Exercise 3: Integers Only 98
Using Semicolons 52
Exercise 4: Current Value 98
Continuing with Backslash 54
Exercise 5: Simple Interest 98
Working with Case Structure 55
Exercise 6: True or False 99
Adding Comments 56
Exercise 7: Playing with Numbers 99
Using the Input Function 57
Exercise 8: Do the Math 99
Storing Input 59
Exercise 9: Street Addresses 100
Understanding Variable Types 61
Displaying Variable Values 62 Lesson 5: Using Python
Naming Variables 64 Control Statements 101
Summary 65
Control Structures Review 101
Exercises 65
Understanding Sequence Control
Exercise 1: Displaying Text 66
Structure 102
Exercise 2: Follow the Comments 66
Understanding Selection Statements 103
Exercise 3: Fixing the Code 66
Understanding Conditional
Exercise 4: Broken Variables 67
Statements 106
Exercise 5: Broken Names 67
If- Else Statements 108
Exercise 6: Where Are You? 67
Working with Nested Conditions 109
viii Contents
