Algorithmic Thought: Embracing the Computer Scientist Mindset with Python
A Python Programmer's Guide to Computational Thinking
Premium AI Book - 200+ pages
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
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