Real Python Cohort-Based Course

Python for Beginners: Code With Confidence

Stephen Gruppetta
Stephen Gruppetta 176 Lessons 23h 20m basics
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Welcome to the course! I’m looking forward to meeting you all in our live sessions and on the forum. This page is the hub for the course where you’ll find each day’s content and key resources.

How This Course Works

  • We’ll meet for a live lesson every Wednesday to explore some of the new concepts of the week.
  • In addition, there are two live Q&A sessions each week, giving you more opportunities to ask questions and get feedback.
  • You’ll find each day’s content below–-use the Resume button to get to where you left off the previous day.

Stay Connected on the Forum

An important part of this course is the forum, which is exclusive to the course’s students. The discussions we’ll have every day on the forum will be the glue that connects all the material you cover in this course.

Be sure to participate to ask questions, gain insights, and learn from both instructors and fellow students.

Zoom link for all live sessions:

https://us02web.zoom.us/j/88142253693?pwd=EDyEsFT0anU8labN6DghRxgdEfuJV3.1

What’s Included:

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Day 0 - Before the Course Starts

5 Lessons 3h 11m

  1. 1. What Do You Need to Install Before The Course Starts?02:52
  2. 2. How to Install Python on Your System: A Guide55:30
  3. 3. Python IDEs and Code Editors28:00
  4. 4. PyCharm for Productive Python Development (Guide)67:30
  5. 5. Python Development in Visual Studio Code (Guide)38:00

Day 1 - Monday (Week 1)

16 Lessons 1h 28m

  1. 1. Welcome From Your Instructor02:40
  2. 2. The Course Forum02:14
  3. 3. Kick-Off Session: Welcome to the Course and Getting Started00:30
  4. 4. Variables in Python: Overview01:14
  5. 5. Variable Assignment06:29
  6. 6. Object References04:52
  7. 7. Object Value vs Object Identity03:04
  8. 8. Naming Conventions06:17
  9. 9. PEP 804:47
  10. 10. Names: Recap02:26
  11. 11. Reserved Keywords04:55
  12. 12. Variables in Python: Summary02:02
  13. 13. Basic Input and Output in Python30:00
  14. 14. Introduction to the 'Find the Goblin' Project13:50
  15. 15. An Analogy: Variables and Objects as Boxes With Labels02:12
  16. 16. End of Day 100:30

Day 2 - Tuesday (Week 1)

3 Lessons 1h 9m

  1. 1. Basic Data Types in Python60:00
  2. 2. Revisiting the 'Find the Goblin' Project04:55
  3. 3. A Short Introduction to F-Strings04:15

Day 3 - Wednesday (Week 1)

6 Lessons 1h 18m

  1. 1. Decisions, Decisions, Decisions00:59
  2. 2. Introduction and the Python "if" Statement05:02
  3. 3. "else" and "elif" Clauses04:02
  4. 4. The "pass" Statement01:25
  5. 5. Operators and Expressions in Python65:30
  6. 6. Live Lesson01:30

Day 4 - Thursday (Week 1)

5 Lessons 1h 42m

  1. 1. Introduction to Loops00:59
  2. 2. Python while Loops31:00
  3. 3. Updating the 'Find the Goblin' With Yesterday's Additions02:22
  4. 4. Adding the `while` Loop to 'Find the Goblin'07:44
  5. 5. The Python Standard REPL: Try Out Code and Ideas Quickly60:00

Day 5 - Friday (Week 1)

6 Lessons 1h 1m

  1. 1. A Brief Introduction to import02:00
  2. 2. Making 'Find the Goblin' A Bit More Flexible03:48
  3. 3. Finishing the 'Find the Goblin' Project04:38
  4. 4. Writing Comments in Python47:00
  5. 5. An Analogy: The White Room03:26
  6. 6. Live Instructor Q&A Today00:30

Day 6 - Monday (Week 2)

11 Lessons 43m

  1. 1. Python's for loop07:13
  2. 2. A Bit More On `for` Loops04:22
  3. 3. Lists and Tuples in Python: Overview03:03
  4. 4. Lists: Ordered & Arbitrary04:55
  5. 5. Introduction & For Loop Paradigms02:59
  6. 6. Iterables and Iterators04:20
  7. 7. For Loops in Python04:27
  8. 8. Range, Break, and Continue04:44
  9. 9. More on `for` Loops and Lists03:13
  10. 10. Indentation03:30
  11. 11. Live Instructor Q&A Today00:30

Day 7 - Tuesday (Week 2)

12 Lessons 1h

  1. 1. Indexing and Slicing06:56
  2. 2. Operators and Built-In Functions05:21
  3. 3. Nesting04:35
  4. 4. Lists: Mutable & Dynamic06:58
  5. 5. List Methods10:52
  6. 6. List Methods With Return Values07:21
  7. 7. Introduction to Tuples01:11
  8. 8. Defining Tuples04:25
  9. 9. Tuple Assignment, Packing, and Unpacking05:17
  10. 10. Lists and Tuples in Python: Conclusion01:48
  11. 11. Indexing and Slicing With Other Data Types05:25
  12. 12. End of Day 700:30

Day 8 - Wednesday (Week 2)

1 Lesson 1m

  1. 1. Live Lesson01:30

Day 9 - Thursday (Week 2)

5 Lessons 21m

  1. 1. Introducing the 'Finding Names' Project01:49
  2. 2. First Solve The Problem. Then Write The Code03:46
  3. 3. 'Finding Names' Part 105:43
  4. 4. 'Finding Names' Part 205:30
  5. 5. 'Finding Names' Part 304:33

Day 10 - Friday (Week 2)

2 Lessons 1m

  1. 1. A Breather • Catch-Up Day00:30
  2. 2. Live Instructor Q&A Today00:30

Day 11 - Monday (Week 3)

7 Lessons 1h 7m

  1. 1. Introduction to Functions01:57
  2. 2. Defining and Calling Python Functions (Overview)01:27
  3. 3. Functions in Python02:01
  4. 4. Why Use Functions?04:39
  5. 5. Function Calls and Definitions06:47
  6. 6. Defining Your Own Python Function50:30
  7. 7. Live Instructor Q&A Today00:30

Day 12 - Tuesday (Week 3)

6 Lessons 19m

  1. 1. Adding Functions in 'Finding Names' • Part 101:20
  2. 2. Adding Functions in 'Finding Names' • Part 205:51
  3. 3. Adding Functions in 'Finding Names' • Part 303:29
  4. 4. Adding Functions in 'Finding Names' • Part 403:10
  5. 5. Adding Functions in 'Finding Names' • Part 505:21
  6. 6. End of Day 1200:30

Day 13 - Wednesday (Week 3)

3 Lessons 15m

  1. 1. Variables Defined Within Function Definitions05:11
  2. 2. The Function Room in The White Room Analogy08:25
  3. 3. Live Lesson01:30

Day 14 - Thursday (Week 3)

8 Lessons 17m

  1. 1. Default Arguments05:00
  2. 2. Note on today's material00:30
  3. 3. Passing Multiple Arguments to a Function01:56
  4. 4. Using the Python args Variable in Function Definitions02:36
  5. 5. Using the Python kwargs Variable in Function Definitions01:08
  6. 6. Ordering Arguments in a Function01:03
  7. 7. Unpacking With the Asterisk Operators05:14
  8. 8. Python args and kwargs: Demystified (Summary)00:32

Day 15 - Friday (Week 3)

2 Lessons 23m

  1. 1. Docstrings and Annotations in Functions23:00
  2. 2. Live Instructor Q&A Today00:30

Day 16 - Monday (Week 4)

9 Lessons 54m

  1. 1. Categories of Data Types04:26
  2. 2. Sequence06:00
  3. 3. Iterable03:30
  4. 4. Mutable and Immutable06:00
  5. 5. Python's Duck Typing04:38
  6. 6. Iterables Beyond The `for` Loop06:51
  7. 7. Introduction to the Word Analysis Project06:32
  8. 8. Cleaning Data in The Word Analysis Project16:25
  9. 9. Live Instructor Q&A Today00:30

Day 17 - Tuesday (Week 4)

7 Lessons 1h 18m

  1. 1. What Is a Dictionary in Python?05:40
  2. 2. Incrementally Building a Dictionary03:37
  3. 3. Restrictions on Dictionary Keys and Values02:24
  4. 4. Operators and Methods for Dictionaries in Python08:58
  5. 5. Dictionaries in Python35:00
  6. 6. Creating Lists and Dictionaries05:06
  7. 7. More on Dictionaries in Python18:00

Day 18 - Wednesday (Week 4)

1 Lesson 1m

  1. 1. Live Lesson01:30

Day 19 - Thursday (Week 4)

18 Lessons 58m

  1. 1. Revisiting Data Type Categories03:21
  2. 2. Iterating Over Dictionaries07:30
  3. 3. Sets in Python (Overview)01:16
  4. 4. What Is a Set?00:58
  5. 5. Immutable vs. Hashable03:14
  6. 6. Defining a Set in Python02:11
  7. 7. Length, Membership, and Iteration03:07
  8. 8. Union, Intersection, and Difference06:49
  9. 9. Disjoint, Subset, and Superset05:37
  10. 10. Add, Remove, Discard, Pop, and Clear02:44
  11. 11. Different Update Methods05:56
  12. 12. Augmented Assignment (Sets)01:32
  13. 13. Frozen Sets02:49
  14. 14. Augmented Assignment (Frozen Sets)01:28
  15. 15. Why Sets?00:55
  16. 16. Set Speed Test05:54
  17. 17. Sets in Python (Summary)03:11
  18. 18. End of Day 19

Day 20 - Friday (Week 4)

8 Lessons 51m

  1. 1. List Comprehensions29:00
  2. 2. There Are No Tuple Comprehensions03:18
  3. 3. Understanding Python List Comprehensions (Overview)01:11
  4. 4. How to Create Lists in Python04:50
  5. 5. How to Supercharge Your Comprehensions05:04
  6. 6. When Not to Use a List Comprehension in Python06:27
  7. 7. Understanding Python List Comprehensions (Summary)01:09
  8. 8. Live Instructor Q&A Today00:30

Day 21 - Monday - (Week 5)

9 Lessons 1h 7m

  1. 1. Object-Oriented Programming02:32
  2. 2. Storing Data and Doing Stuff With Data04:46
  3. 3. Object-Oriented Programming (OOP) in Python34:30
  4. 4. What Is Object-Oriented Programming (OOP)?03:37
  5. 5. Classes in Python03:16
  6. 6. Class and Instance Attributes05:58
  7. 7. Adding Attributes to a Python Class06:51
  8. 8. Adding Methods to a Python Class05:52
  9. 9. Live Instructor Q&A Today00:30

Day 22 - Tuesday - (Week 5)

2 Lessons 50m

  1. 1. What's Special About Special Methods?04:30
  2. 2. Python's Special Methods46:00

Day 23 - Wednesday - (Week 5)

1 Lesson 1m

  1. 1. Live Lesson01:30

Day 24 - Thursday - (Week 5)

6 Lessons 45m

  1. 1. Inheritance: A Gentle Introduction01:23
  2. 2. Inheriting From Another Class23:30
  3. 3. Introduction to OOP Inheritance04:35
  4. 4. Inheritance Example08:22
  5. 5. Intro to Object-Oriented Programming (OOP) in Python (Summary)01:48
  6. 6. Extend the Market Seller Example05:45

Day 25 - Friday - (Week 5)

2 Lessons 1m

  1. 1. A Breather • Catch-Up Day00:30
  2. 2. Live Instructor Q&A Today00:30

Day 26 - Monday - (Week 6)

4 Lessons 39m

  1. 1. Inheritance vs Composition01:17
  2. 2. Inheritance and Composition: A Python OOP Guide29:30
  3. 3. Delegation08:00
  4. 4. Live Instructor Q&A Today00:30

Day 27 - Tuesday - (Week 6)

2 Lessons 24m

  1. 1. Duck Typing and OOP02:27
  2. 2. Special Methods and Data Type Categories22:00

Day 28 - Wednesday - (Week 6)

1 Lesson 1m

  1. 1. Live Lesson01:30

Day 29 - Thursday - (Week 6)

4 Lessons 53m

  1. 1. Introduction to Debugging02:49
  2. 2. Debugging04:00
  3. 3. How to Debug Common Python Errors46:30
  4. 4. End of Day 29

Day 30 - Friday - (Week 6)

3 Lessons 3m

  1. 1. Debugging Exercises01:43
  2. 2. Download Files for Debugging Exercises01:00
  3. 3. Live Instructor Q&A Today00:30

Days 31 - 40 (Weeks 7 and 8)

1 Lesson 4m

  1. 1. Welcome to the Final Two Weeks: The End-of-Course Project04:00
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About Stephen Gruppetta

Stephen obtained a PhD in physics and worked as a physicist in academia for over a decade before becoming a Python educator. He's constantly looking for simple ways to explain complex things in Python.

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