Table of Contents

1. Programming Languages and Python Interpreter
2. Python Fundamentals
3. Project Jupyter and JupyterLab Environment
4. Collection Types
5. Conditional Branching
6. Iterating Constructs
7. Functions and Methods
8. Modules
9. File Operations
10. Working with Data
11. Data Visualization
12. Case Studies
Appendix I: Abbreviations