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Python 3: The comprehensive guide

Tic Tac Toe

Tic Tac Toe

Transition from a Novice to an Expert in Python 3.

Created by- Josh Werner, Learn Tecc

What you’ll learn in python 3 course

  1. Understanding Python’s Essence
  2. Resources for Python Documentation
  3. Transitioning from Python 2 to Python 3
  4. Resources Tailored for Python 3.x
  5. Guide to Downloading and Setting up Python 3
  6. Crafting Your Initial Python Code
  7. Executing Your First Python Program
  8. Fundamentals of Python
  9. Code Structuring and Syntax
  10. Making Annotations: Comments
  11. Exploring Data Structures
  12. Delving into Numerical Data
  13. Type Conversion: Casting
  14. Boolean Logic in Python
  15. Working with Operators
  16. Conditional Structures: If-Else Statements
  17. Looping with While
  18. Iterating with For Loops
  19. Crafting Functions
  20. Understanding Lambdas
  21. Managing Data with Arrays
  22. Creating Classes and Manipulating Objects
  23. The Concept of Inheritance
  24. Using Iterators Effectively
  25. Deciphering Scope in Python
  26. Introducing Modules
  27. Working with Dates
  28. Diving Deep into Math Functions
  29. Manipulating JSON
  30. Regular Expressions: RegEx
  31. Understanding PIP
  32. Error Handling: Try and Except
  33. Capturing User Inputs
  34. Formatting Strings in Python
  35. Declaring and Using Variables
  36. Manipulating Strings
  37. Organizing Data with Lists
  38. Using Tuples for Fixed Collections
  39. Understanding Sets
  40. Managing Key-Value Pairs: Dictionaries.
Python 3

Course Content

  1. Getting Started: An Overview
  2. Guided Resources & Documentation
  3. Initial Configuration and Setup
  4. Python Fundamentals and Basics
  5. Working with Variables
  6. Handling and Manipulating Strings
  7. Exploring Lists and Their Functions
  8. Delving into Tuples and Their Uses
  9. Understanding the Unique Nature of Sets
  10. Organizing Data with Dictionaries
  11. Final Thoughts and Wrap-up.


  • Eagerness to acquire knowledge.


Eager to become proficient in Python? Dive into this course, tailored for individuals ranging from absolute novices to adept Python coders. Allow me to guide you through a comprehensive, step-by-step journey ensuring both proficiency and enjoyment. Here’s a detailed overview of what we’ll delve into:

  1. Getting Started: An Overview
  2. Guided Resources & Documentation:
    • Understanding Python’s Essence
    • Initiating Your Journey with Python Documentation
    • Overview of Python’s Beginner Guide
    • Delving into the Intermediate Python Guide
    • Insights into the Advanced Python Guide
    • A Broad Overview of Comprehensive Python Documentation
    • Deep Dive into Python 3.x Materials
    • Discussing the Transition Process from Python 2 to Python 3.
  3. Initial Configuration and Setup
    • Introduction
    • Explaining the concept of an Integrated Development Environment (IDE)
    • IDE choices for Python Development
    • Understanding Text Editors
    • Popular Text Editors tailored for Python
    • Steps to Download and Set Up Python 3, inclusive of IDLE
    • Basics of Terminal Commands
    • Crafting and Executing your Initial Python Code using Terminal and IDLE
    • Procedure to Get Visual Studio Code
    • How to Incorporate the Python Extension within Visual Studio Code
    • Creating and Running Python Codes via Visual Studio Code and Terminal
    • Guided Installation of Anaconda
    • Executing Python Scripts using Anaconda.
  4. Python Fundamentals and Basics
    • Code Structuring and Rules
    • Annotating Code
    • Categories of Data
    • Numerical Values
    • Type Conversion
    • Binary Logic
    • Mathematical Symbols and Their Uses
    • Conditional Constructs
    • Looping Using ‘While’
    • Iteration with ‘For’
    • Code Procedures
    • Short Function Formulation: Lambda
    • Data Structures: Arrays
    • Object-Oriented Design: Classes and Instances
    • Class Derivation and Hierarchies
    • Cycle Through Data with Iterators
    • Variable Visibility and Domain: Scope
    • Code Grouping: Modules
    • Working with Calendars: Dates
    • Advanced Math Operations
    • Handling Data Formats: JSON
    • Pattern Matching: Regular Expressions
    • Python’s Package Manager: PIP
    • Handling Errors and Exceptions
    • Capturing Data from Users
    • Arranging Text: String Templates.
  5. Working with Variables
    • Introduction
    • Data Holders: Variables
    • Naming Conventions for Variables
    • Assigning Values in Bulk
    • Displaying Variable Content
    • Variables with Universal Access: Global Variables.
  6. Handling and Manipulating Strings
    • Brief Introduction
    • Textual Data: Strings
    • Segmenting Strings
    • Altering Text Data
    • Joining Strings Together
    • Structuring Strings
    • Utilizing Special Characters
    • Techniques and Functions for Strings.
  7. Exploring Lists and Their Functions
    • Brief Synopsis
    • Data Collections: Lists
    • Retrieving Elements from Lists
    • Modifying Elements within Lists
    • Inserting Elements into Lists
    • Deleting Elements from Lists
    • Iterating Through Lists
    • Compact List Creation: List Comprehension
    • Organizing Lists
    • Cloning Lists
    • Merging Multiple Lists
    • Techniques and Functions specific to Lists.
  8. Delving into Tuples and Their Uses
    • Brief Outline
    • Immutable Collections: Tuples
    • Retrieving Elements from Tuples
    • Modifying Tuple Elements
    • Decomposing Tuples
    • Iterating Through Tuples
    • Combining Tuples
    • Techniques and Procedures for Tuples.
  9. Understanding the Unique Nature of Sets
    • Introduction
    • Unique Collections: Sets
    • Accessing Elements within Sets
    • Introducing New Items to Sets
    • Deleting Elements from Sets
    • Iterating Over Sets
    • Combining Multiple Sets
    • Techniques and Operations specific to Sets.
  10. Organizing Data with Dictionaries
    • Brief Summary
    • Retrieving Dictionary Elements
    • Modifying Dictionary Values
    • Introducing New Key-Value Pairs
    • Deleting Key-Value Pairs
    • Iterating Through Dictionaries
    • Cloning Dictionaries
    • Structuring Dictionaries Within Dictionaries
    • Techniques and Functions for Dictionaries.

Thanks for exploring the course!

Warm Regards,

Josh Werner, Learn Tech Plus

This course is suitable for

  • Students ranging from beginners to experts aiming to learn Python 3.

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Frequently Asked Questions (FAQs)

Q. What is the main focus of this Python 3 course?

A: The course provides a comprehensive journey from understanding Python’s basics to mastering advanced concepts, aiming to transform beginners into proficient Python coders.

Q: Who is the course instructor?

A: The course is instructed by Josh Werner from Learn Tech Plus.

Q: Is the course suitable for complete beginners?

A: Absolutely! The course is tailored for all levels, from absolute novices to advanced learners.

Q: What will I learn about Python’s tools and resources?

A: You’ll delve into Python documentation, understand IDEs and text editors, explore Python 3.x materials, and more.

Q: Will I get hands-on experience during this course?

A: Yes, the course guides you through setting up Python, writing, executing scripts, and practical uses of Python concepts.

Q: Does the course cover advanced Python topics?

A: Definitely! Topics include object-oriented programming, JSON, Regular Expressions, and handling errors, among others.

Q: Can I expect insights into Python’s data structures and functions?

A: Yes, the course extensively covers lists, tuples, sets, dictionaries, functions, and lambda, ensuring a solid grasp on Python’s foundational elements.

Q: How do I access the course?

A: Once enrolled, you can access the course online, going through each module at your pace.

Q: Do I get support if I have queries during the course?

A: While the course is designed to be comprehensive, for specific queries, you can reach out to the course support.

Q: Are there any prerequisites for this course?

A: While the course is beginner-friendly, an eagerness to learn and a basic understanding of programming concepts will be beneficial.

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