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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
    1. Data Visualization Concepts
    2. Principles of Visualizing Data
    3. Types of Visualizations
    4. Tools for Visualizations
    5. Narratives through Visualizations
    6. Data Visualization in Humanities Research
    7. Case Studies
    8. Challenges
    9. Example Project
       • Python Environment Setup
       • Data Visualization in Python
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