Python Programming from Beginner to Paid Professional Part 1: Learn Python for Automation & IT with Video Tutorials

Length: 335 pages
Edition: 1
Language: English
Publisher: Independently published
Publication Date: 2021-06-30
ISBN-10: B098F5K1ZJ
ISBN-13: 9798529383216
Sales Rank: #5499847 (See Top 100 Books)

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
How this Book can Help You
How to Use the Video Tutorials, Programs & Practice Exercises
Why Learn Python Programming?
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
1.4.1. How the 6-Week Deadline Works
1.4.2. Getting and Giving Help
1.4.3. Finding Out More Information
1.5. Official Python Discussion Forums: Join, Meet & Greet
2. Introduction to Programming
2.1. The Beginning of Your Programming Journey
2.2. What is Programming?
2.2.1. Difference Between Script and Program
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
2.6.1. Answers to Practice Quiz 1
3. Setting up Your Python & Programming Environment
3.1. What is Python?
3.1.1. How to Execute Python Codes
3.2. A Note on Syntax and Code Blocks
3.3. Why is Python Relevant to IT?
3.4. How to Become a Pythoneer or Pythonista
3.5. Other Languages
3.6. Practice Quiz 2: Introduction to Python - 5 Questions
3.6.1. Answers to Practice Quiz 2
4. Hello, World!
4.1. How to Write Hello World in Python
4.1.1. Program Comments (#)
4.1.2. How to Write Comments
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
4.5.1. Answers to Practice Quiz 3
5. Module Review
5.1. First Steps Wrap Up
5.2. Module 1 Graded Assessment - 10 Questions
5.2.1. Solutions to Module 1 Graded Assessment
6. Expressions and Variables
6.1. Basic Python Syntax introduction
6.2. Data Types
6.3. Data Types Recap
6.4. Variables
6.4.1. Variable Name Restrictions
6.5. Expressions, Numbers and Type Conversions
6.6. Implicit versus Explicit Conversion
6.7. Practice Quiz 4: 5 Questions
6.7.1. Answers to Practice Quiz 4
7. Functions
7.1. Defining Functions
7.2. Defining Functions Recap
7.3. Returning Values
7.4. Returning Values Using Functions
7.5. The Principles of Code Reuse
7.6. Code Style
7.6.1. Principles for Creating Well-styled Code
7.7. Practice Quiz 4: 5 Questions
7.7.1. Answers to Practice Quiz 5
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 - 10 Questions
9.4.1. Solutions to Module 2 Graded Assessment:
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: 4 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 3 Graded Assessment:
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 Lists
15.5. Lists and Tuples
15.6. Tuples Recap
15.7. Iterating over Lists and Tuples
15.8. Iterating Over Lists Using Enumerate
15.9. List Comprehensions 1
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 – 10 Questions
17.2.1. Solutions to Module 4 Graded Assessment
18. Object-oriented Programming (OOP)
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 Recap
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)
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
23.2.1 Project goal
23.3. Final Project (Challenge Lab 5)
23.3.1. Instructions
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 the Course Resources
25.1. How to Get Further Help
25.2. More Helpful Resources