Algorithmic Thought: Embracing the Computer Scientist Mindset with Python

Table of Contents

1. Introduction to Computational Thinking
- The Essence of Computer Science
- Thinking Like a Machine
- Applied Logic in Python Programming

2. Python Basics for Beginners
- First Steps in Python
- Core Syntax and Expressions
- Writing and Executing Programs

3. Advanced Data Types and Operations
- Lists, Dictionaries, and Tuples
- Data Manipulation in Python
- Custom Types and Object-Oriented Programming

4. Algorithms Unlocked: The Building Blocks
- Understanding Algorithms
- Algorithm Efficiency and Complexity
- Algorithmic Problem Solving with Python

5. Recursive Thinking and Functions
- The Power of Recursion
- Mastering Recursive Algorithms
- Practical Examples of Recursion in Python

6. Automating Tasks with Python Scripts
- Scripting for Automation
- Task Scheduling and Automation
- Real-World Automation Projects

7. Data Structures in Depth
- Fundamentals of Data Structuring
- Efficient Data Handling in Python
- Implementing Complex Data Structures

8. Python and the Internet
- Web Scraping with Python
- Developing Python Web Applications
- APIs and Remote Data Interactions

9. Testing and Debugging Python Code
- Writing Testable Code
- Debugging Techniques in Python
- Automated Testing with Python

10. Version Control and Collaborative Coding
- Introduction to Git and Version Control
- Best Practices for Collaborative Development
- Building a Portfolio with Version Control

11. Machine Learning Foundations
- Machine Learning Concepts
- Developing Machine Learning Models with Python
- Case Studies in Python Machine Learning

12. Towards Mastery: Creating Effective Python Projects
- Project Ideation and Planning
- Building Scalable Python Applications
- From Concept to Deployment: A Comprehensive Guide