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• Book Cover
• About the Author

1. Preliminaries
2. Basic Programming
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)
    1. NLP Concepts
    2. Basics of NLP
    3. NLP Tools & Techniques
    4. NLP Case Studies in the Humanities
    5. Challenges
    6. Example Project
       • Python Environment Setup
       • NLP in Python
18. Neural Networks (NN)
19. Large Language Models (LLMs)
20. Data Science
21. Artificial Intelligence (AI)
22. Geospatial Analysis

• Reference Materials