Python for Beginners: Code With Confidence – Certificate of Completion

Real Python Cohort-Based Course

VERIFIED
Certificate of Achievement

Real Python Cohort-Based Course

This is to certify that

Dan Bader

has successfully completed

Python for Beginners: Code With Confidence

a course of study offered by Real Python (realpython.com), an online learning platform and expert community for Python software developers.

Completion Date: April 22, 2026

Verification ID: 85dbd330-02a3-4ca1-ac36-312b58839a0d

Course Description

Skill level: basics

This is an interactive, hands-on, cohort-based Python course for beginners. This course, which includes live sessions, explores the fundamentals of programming in Python and is suitable for absolute beginners and those who've learned some of the basics already and are now ready for a more structured and guided approach.

Day 0 - Before the Course Starts

1. What Do You Need to Install Before The Course Starts?

2. How to Install Python on Your System: A Guide

3. Python IDEs and Code Editors

4. PyCharm for Productive Python Development (Guide)

5. Python Development in Visual Studio Code (Guide)

Day 1 - Monday (Week 1)

1. Welcome From Your Instructor

2. The Course Forum

3. Kick-Off Session: Welcome to the Course and Getting Started

4. Variables in Python: Overview

5. Variable Assignment

6. Object References

7. Object Value vs Object Identity

8. Naming Conventions

10. Names: Recap

11. Reserved Keywords

12. Variables in Python: Summary

13. Basic Input and Output in Python

14. Introduction to the 'Find the Goblin' Project

15. An Analogy: Variables and Objects as Boxes With Labels

16. End of Day 1

Day 2 - Tuesday (Week 1)

1. Basic Data Types in Python

2. Revisiting the 'Find the Goblin' Project

3. A Short Introduction to F-Strings

Day 3 - Wednesday (Week 1)

1. Decisions, Decisions, Decisions

2. Introduction and the Python "if" Statement

3. "else" and "elif" Clauses

4. The "pass" Statement

5. Operators and Expressions in Python

Day 4 - Thursday (Week 1)

1. Introduction to Loops

2. Python while Loops

3. Updating the 'Find the Goblin' With Yesterday's Additions

4. Adding the `while` Loop to 'Find the Goblin'

5. The Python Standard REPL: Try Out Code and Ideas Quickly

Day 5 - Friday (Week 1)

1. A Brief Introduction to import

2. Making 'Find the Goblin' A Bit More Flexible

3. Finishing the 'Find the Goblin' Project

4. Writing Comments in Python

5. An Analogy: The White Room

6. Live Instructor Q&A Today

Day 6 - Monday (Week 2)

1. Python's for loop

2. A Bit More On `for` Loops

3. Lists and Tuples in Python: Overview

4. Lists: Ordered & Arbitrary

5. Introduction & For Loop Paradigms

6. Iterables and Iterators

7. For Loops in Python

8. Range, Break, and Continue

9. More on `for` Loops and Lists

10. Indentation

11. Live Instructor Q&A Today

Day 7 - Tuesday (Week 2)

1. Indexing and Slicing

2. Operators and Built-In Functions

4. Lists: Mutable & Dynamic

5. List Methods

6. List Methods With Return Values

7. Introduction to Tuples

8. Defining Tuples

9. Tuple Assignment, Packing, and Unpacking

10. Lists and Tuples in Python: Conclusion

11. Indexing and Slicing With Other Data Types

12. End of Day 7

Day 8 - Wednesday (Week 2)

Day 9 - Thursday (Week 2)

1. Introducing the 'Finding Names' Project

2. First Solve The Problem. Then Write The Code

3. 'Finding Names' Part 1

4. 'Finding Names' Part 2

5. 'Finding Names' Part 3

Day 10 - Friday (Week 2)

1. A Breather • Catch-Up Day

2. Live Instructor Q&A Today

Day 11 - Monday (Week 3)

1. Introduction to Functions

2. Defining and Calling Python Functions (Overview)

3. Functions in Python

4. Why Use Functions?

5. Function Calls and Definitions

6. Defining Your Own Python Function

7. Live Instructor Q&A Today

Day 12 - Tuesday (Week 3)

1. Adding Functions in 'Finding Names' • Part 1

2. Adding Functions in 'Finding Names' • Part 2

3. Adding Functions in 'Finding Names' • Part 3

4. Adding Functions in 'Finding Names' • Part 4

5. Adding Functions in 'Finding Names' • Part 5

6. End of Day 12

Day 13 - Wednesday (Week 3)

1. Variables Defined Within Function Definitions

2. The Function Room in The White Room Analogy

Day 14 - Thursday (Week 3)

1. Default Arguments

2. Note on today's material

3. Passing Multiple Arguments to a Function

4. Using the Python args Variable in Function Definitions

5. Using the Python kwargs Variable in Function Definitions

6. Ordering Arguments in a Function

7. Unpacking With the Asterisk Operators

8. Python args and kwargs: Demystified (Summary)

Day 15 - Friday (Week 3)

1. Docstrings and Annotations in Functions

2. Live Instructor Q&A Today

Day 16 - Monday (Week 4)

1. Categories of Data Types

4. Mutable and Immutable

5. Python's Duck Typing

6. Iterables Beyond The `for` Loop

7. Introduction to the Word Analysis Project

8. Cleaning Data in The Word Analysis Project

9. Live Instructor Q&A Today

Day 17 - Tuesday (Week 4)

1. What Is a Dictionary in Python?

2. Incrementally Building a Dictionary

3. Restrictions on Dictionary Keys and Values

4. Operators and Methods for Dictionaries in Python

5. Dictionaries in Python

6. Creating Lists and Dictionaries

7. More on Dictionaries in Python

Day 18 - Wednesday (Week 4)

Day 19 - Thursday (Week 4)

1. Revisiting Data Type Categories

2. Iterating Over Dictionaries

3. Sets in Python (Overview)

4. What Is a Set?

5. Immutable vs. Hashable

6. Defining a Set in Python

7. Length, Membership, and Iteration

8. Union, Intersection, and Difference

9. Disjoint, Subset, and Superset

10. Add, Remove, Discard, Pop, and Clear

11. Different Update Methods

12. Augmented Assignment (Sets)

13. Frozen Sets

14. Augmented Assignment (Frozen Sets)

16. Set Speed Test

17. Sets in Python (Summary)

18. End of Day 19

Day 20 - Friday (Week 4)

1. List Comprehensions

2. There Are No Tuple Comprehensions

3. Understanding Python List Comprehensions (Overview)

4. How to Create Lists in Python

5. How to Supercharge Your Comprehensions

6. When Not to Use a List Comprehension in Python

7. Understanding Python List Comprehensions (Summary)

8. Live Instructor Q&A Today

Day 21 - Monday - (Week 5)

1. Object-Oriented Programming

2. Storing Data and Doing Stuff With Data

3. Object-Oriented Programming (OOP) in Python

4. What Is Object-Oriented Programming (OOP)?

5. Classes in Python

6. Class and Instance Attributes

7. Adding Attributes to a Python Class

8. Adding Methods to a Python Class

9. Live Instructor Q&A Today

Day 22 - Tuesday - (Week 5)

1. What's Special About Special Methods?

2. Python's Special Methods

Day 23 - Wednesday - (Week 5)

Day 24 - Thursday - (Week 5)

1. Inheritance: A Gentle Introduction

2. Inheriting From Another Class

3. Introduction to OOP Inheritance

4. Inheritance Example

5. Intro to Object-Oriented Programming (OOP) in Python (Summary)

6. Extend the Market Seller Example

Day 25 - Friday - (Week 5)

1. A Breather • Catch-Up Day

2. Live Instructor Q&A Today

Day 26 - Monday - (Week 6)

1. Inheritance vs Composition

2. Inheritance and Composition: A Python OOP Guide

4. Live Instructor Q&A Today

Day 27 - Tuesday - (Week 6)

1. Duck Typing and OOP

2. Special Methods and Data Type Categories

Day 28 - Wednesday - (Week 6)

Day 29 - Thursday - (Week 6)

1. Introduction to Debugging

3. How to Debug Common Python Errors

4. End of Day 29

Day 30 - Friday - (Week 6)

1. Debugging Exercises

2. Download Files for Debugging Exercises

3. Live Instructor Q&A Today

Days 31 - 40 (Weeks 7 and 8)

1. Welcome to the Final Two Weeks: The End-of-Course Project

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Certificate of Completion

This person’s account is verified and was created on Feb. 26, 2019. Real Python certifies their completion of the Python for Beginners: Code With Confidence course on April 22, 2026.

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Real Python is an online learning platform and expert community for Python software developers. It offers interactive online classes and in-depth tutorials created by a team of subject matter experts.