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• Book Cover
• About the Author

1. Preliminaries
2. Programming Basics
3. Decisions
4. Repetition (a.k.a. Loops)
5. Data Structures
6. Functions
7. Libraries
8. Files
9. Object-Oriented Programming (OOP)
10. Data & Data Sets
    1. Data & Dataset Concepts
11. Data Analytics
12. Data Visualization
13. Network Analysis
14. Web Scraping
15. Text Analysis
16. Machine Learning (ML)
17. Natural Language Processing (NLP)
18. Neural Networks (NN)
19. Large Language Models (LLMs)
20. Data Science
21. Artificial Intelligence (AI)
22. Geospatial Analysis

• Reference Materials