Python Programming from Beginner to Paid Professional Part 1
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Python Programming from Beginner to Paid Professional Part 1

Learn Python for Automation & IT with Video Tutorials

About the Book

This is not just another Python programming book. It is an intensive and practical Python programming course. It is part 1 of a 3-part series which serves as my exhaustive collection of step-by-step tutorials on the latest version 3 of Python programming language. It is a self-paced course that is excellent for beginners and accomplished experts alike. If you want to have fun learning or revising your Python programming with ease, this is the right course for you.

You will find this book indispensable if you are a computer programmer, an automation engineer or professional, a system administrator working in an IT firm, a data analyst/journalist, an educator, a computer science student or just anyone looking to acquire Python programming skills they need to succeed in their job or career. Yes, this course is exactly what you need to become a Pythoneer or Pythonista.

This course has 6 modules spread out over 25 chapters of both rich text and visual tutorials. You’re not in this alone. I’m going to help you through it. Watching people coding is very different from learning how to code. So you will not only be learning Python in this course, you will also be doing.

As you complete the tutorials, you’re going to get tested a lot on the materials we are covering by following Python best practices. Although this is a self-paced course, I strongly recommend that you complete it in not more than 6 weeks. For example, if you can complete one module every week, you can finish the course in 6 weeks.

To fully understand the basics of Python 3 programming, I strongly recommend you watch all the 53 in-depth HD videos which are available in the course resources folder that you can download. The link for download is in Chapter 25 of this book. These video tutorials simplify everything you need to understand, and help you speed up your learning.

Important terms and definitions discussed in this book are printed in bold texts, like this. Practice quizzes and answers are included at the end of each chapter to help you test how much you have improved. Go to Chapter 25 right now. You will find the link to the course resources folder. Once you open this link, you will be able to download all the course videos, graded assessments and their solutions, projects and handy cheat sheets that give you all the information you need at a glance.

About the Author

Bolakale Aremu
Bolakale Aremu

Bolakale Aremu is a self publisher dedicated to transforming the landscape of Artificial Intelligence communication and content creation. With over 17 years of experience in computer hardware architecture and software development, he possesses a deep understanding of the transformative power of AI models.

As an author and also the CEO of AB Publisher LLC, Bolakale has pioneered innovative ways to utilize AI, helping businesses and individuals unlock its vast potential. His mission is to empower users by demystifying software engineering concepts and equipping them with the tools needed to leverage AI for productivity, creativity, and profitability. In addition to his work in AI, Bolakale is a dedicated educator who enjoys helping others discover the possibilities of AI technology. Through his writing, teaching, and leadership, he continues to inspire others to embrace the future of AI and its limitless potential.

For any inquiry, you can contact us any time. If you want to contribute your knowledge to this website, or if you have a request, just send us your message. We promise to do our best to help.

Bolakale Aremu (CEO), AB Publisher LLC.

Table of Contents

  • About the Authors
  • How this Book can Help You
  • How to Use the Tutorial Videos & Python Programs
  • Why Learn Python Programming

  • Module 1

  • 1. The Foundation: Getting Started with Python Programming
  • 1.1. Specialization Introduction
  • 1.2. Course Introduction
  • 1.3. A Minute to Set Yourself up for Success
  • 1.4. Welcome to the Course
  • 1.5. Official Python Discussion Forums: Meet & Greet

  • 2. Introduction to Programming
  • 2.1. The Beginning of Your Programming Journey
  • 2.2. What is Programming?
  • 2.3. What is Automation?
  • 2.4. Getting Computers to Work for You
  • 2.5. Discussion Forums: Your Hopes for AUtomation
  • 2.6. Practice Quiz 1: Introduction to Coding in General - 5 Questions

  • 3. Setting up Your Python & Programming Environment
  • 3.1. What is Python?
  • 3.2. A Note on Syntax and Code Blocks
  • 3.3. Why is Python Relevant to IT?
  • 3.4. How to Learn More About Python
  • 3.5. Other Languages
  • 3.6. Practice Quiz 2: Introduction to Python - 5 Questions

  • 4. Hello World!
  • 4.1. 4.1. How to Write Hello World in Python
  • 4.2. How to Get Information from the User
  • 4.3. Python Can Be Your Calculator
  • 4.4. Cheat Sheet 1: First Programming Concepts
  • 4.5. Practice Quiz 3: Hello World - 5 Questions

  • 5. Module Review
  • 5.1. First Steps Wrap Up
  • 5.2. Module 1 Graded Assessment - 10 Questions

  • Module 2

  • 6. Expressions and Variables
  • 6.1. Basic Python Syntax introduction
  • 6.2. Data Types
  • 6.3. Data Types Recap
  • 6.4. Variables
  • 6.5. Expressions, Numbers, and Type Conversions
  • 6.6. Implicit versus Explicit Conversion
  • 6.7. Practice Quiz 4: 5 Questions

  • 7. Functions
  • 7.1. Defining Functions
  • 7.2. Defining Functions Recap
  • 7.3. Returning Values
  • 7.4. Returning Values Using Functions
  • 7.5. The Priciples of Code Reuse
  • 7.6. Code Style
  • 7.7. Practice Quiz 5: 5 Questions

  • 8. Conditionals
  • 8.1. Comparing Things
  • 8.2. Comparison Operators Recap
  • 8.3. Branching with IF statements
  • 8.4. If statements Recap
  • 8.5. Else Statements
  • 8.6. Else Statements and Modulo Operator Recap
  • 8.7. Elif Statements
  • 8.8. Cheat Sheet 2: Conditionals
  • 8.9. More Complex Branching with elif Statements
  • 8.10. Practice Quiz 6: 5 Questions
  • 8.10.1. Answers to Practice Quiz 6

  • 9. Module Review
  • 9.1. Basic Syntax Wrap Up
  • 9.2. Why I Like Python
  • 9.3. What I Don’t Like About Python
  • 9.4. Module 2 Graded Assessment
  • 9.4.1. Solutions to Module 2 Graded Assessment:

  • Module 3

  • 10. While Loops
  • 10.1. Introduction to Loops
  • 10.2. What is a While loop?
  • 10.3. Anatomy of a While Loop
  • 10.4. More While Loop Examples
  • 10.5. Why Initializing Varaibles Matters
  • 10.6. Common Pitfalls with Variable Initialization
  • 10.7. Infinite Loops and How to Break Them
  • 10.8. Infinite loops and Code Blocks
  • 10.9. Practice Quiz 7: 5 Questions
  • 10.9.1. Answers to Practice Quiz 7

  • 11. For Loops
  • 11.1. What is a For Loop?
  • 11.2. For Loops Recap
  • 11.3. More for Loop Examples
  • 11.4. A Closer Look at the Range() Function
  • 11.5. Nested For Loops
  • 11.6. Common Errors in For Loops
  • 11.7. Cheat Sheet 3: Loops
  • 11.8. Practice Quiz 8: 5 Questions
  • 11.8.1. Answers to Practice Quiz 8

  • 12. Recursion (Optional)
  • 12.1. What is recursion?
  • 12.2. Recursion in Action in the IT Context
  • 12.3. Additional Recursion Sources
  • 12.4. Practice Quiz 9: 5 Questions
  • 12.4.1. Answers to Practice Quiz 9

  • 13. Module Review
  • 13.1. Loops Wrap Up
  • 13.2. Module 3 Graded Assessment - 10 Questions
  • 13.2.1. Solutions to Module 2 Graded Assessment:

  • Module 4

  • 14. Strings
  • 14.1. Basic Structures Introduction
  • 14.2. What is a string?
  • 14.3. The Parts of a String
  • 14.4. String Indexing and Slicing Recap
  • 14.5. Creating New Strings
  • 14.6. Basic String Methods
  • 14.7. More String Methods
  • 14.8. Advanced String Methods
  • 14.9. Formatting Strings
  • 14.10. String Formatting Recap
  • 14.11. Cheat Sheet 4: String Reference
  • 14.12. Cheat Sheet 5: Formatting Strings
  • 14.13. Practice Quiz 10: 5 Questions
  • 14.13.1. Answers to Practice Quiz 10

  • 15. Lists
  • 15.1. What is a list?
  • 15.2. Lists Defined
  • 15.3. Modifying the Contents of a List
  • 15.4. Modifying List
  • 15.5. Lists and Tuples
  • 15.6. Tuples
  • 15.7. Iterating over Lists and Tuples
  • 15.8. Iterating Over Lists Using Enumerate
  • 15.9. List Comprehensions
  • 15.10. List Comprehensions Recap
  • 15.11. Cheat Sheet 6: Lists and Tuples Operations
  • 15.12. Practice Quiz 11: 6 Questions
  • 15.12.1. Answers to Practice Quiz 11

  • 16. Dictionaries
  • 16.1. What is a dictionary?
  • 16.2. Dictionaries Defined
  • 16.3. Iterating over the Contents of a Dictionary
  • 16.4. Iterating Over Dictionaries Recap
  • 16.5. Dictionaries versus Lists
  • 16.6. Cheat Sheet 7: Dictionary Methods
  • 16.7. Practice Quiz 12: 5 Questions
  • 16.7.1. Answers to Practice Quiz 12

  • 17. Module Review
  • 17.1. Basic Structures Wrap Up
  • 17.2. Module 4 Graded Assessment
  • 17.2.1. Solutions to Module 4 Graded Assessment

  • Module 5

  • 18. Object-oriented Programming (Optional)
  • 18.1. OOP Introduction
  • 18.2. What is OOP?
  • 18.3. Definition of OOP
  • 18.4. Classes and Objects in Python
  • 18.5. Classes and Objects in Detail
  • 18.6. Defining New Classes
  • 18.7. Defining Classes Recap
  • 18.8. Practice Quiz 13: 5 Questions
  • 18.8.1 Answers to Practice Quiz 13

  • 19. Classes and Methods
  • 19.1 Instance Methods
  • 19.2. What Is a Method?
  • 19.3. Constructors and Other Special Methods
  • 19.4. Special Methods
  • 19.5. Documenting Functions, Classes and Methods
  • 19.6. Documenting with Docstrings
  • 19.7. Cheat Sheet 8: Classes and Methods
  • 19.8. About Jupyter Notebooks (Optional)
  • 19.9. Help with Jupyter Notebooks
  • 19.10. Challenge Lab 1: Methods and Classes Lab

  • 20. Code Reuse
  • 20.1. Inheritance
  • 20.2. Object Inheritance
  • 20.3. Composition
  • 20.4. Object Composition
  • 20.5. Python Modules
  • 20.6. Augmenting Python with Modules
  • 20.7. Supplemental Reading for Code Reuse
  • 20.8. Challenge Lab 2: Code Reuse Lab

  • 21. Module Review
  • 21.1. OOP Wrap Up
  • 21.2. Challenge Lab 3: Practice Notebook (Object Oriented Programming)

  • Module 6

  • 22. Writing a Script from the Ground Up
  • 22.1. Final Project Introduction
  • 22.2. Problem Statement
  • 22.3. Research
  • 22.4. Planning
  • 22.5. Writing the Script
  • 22.6. Putting It All Together
  • 22.7. Challenge Lab 4: Putting It All Together

  • 23. Final Project
  • 23.1. Final Project Overview
  • 23.2. Final Project Help
  • 23.3. Final Project (Challenge Lab 5): WordCloud
  • 23.4. Final Project Grading

  • 24. Course Wrap up
  • 24.1. Congratulations!
  • 24.2. Discussion Forums: Share Your Learner Journey
  • 24.3. Sneak Peek of the Next Course (Part 2)

  • 25. How to Download Course Resources: Videos, Cheat Sheets and Graded Assessments Solutions
  • 25.1. How to Get Further Help
  • 25.2. More Helpful Resources

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