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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 & Datasets
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
19. Large Language Models
20. Data Science
    1. Data Science Concepts
    6. Example Project
       • Python Environment Setup
       • Data Science in Python
21. Artificial Intelligence (AI)
22. Geospatial Analysis

• Reference Materials