Reading list: Python Programming
A comprehensive educational series/reading list on "Python Programming" would likely include the following components:

- **Fundamentals of Python** - Covering basic syntax, data types, control structures, and object-oriented programming concepts. Resources like "Learning Python: Powerful Object-Oriented Programming" and "Automate the Boring Stuff With Python" would provide strong foundations.
- **Advanced Python Concepts** - Materials on decorators, magic methods, and other advanced features that distinguish junior and senior Python programmers.
- **Python Standard Library** - Guides on built-in functions and data structures, with resources like "The Python 3 Standard Library by Example".
- **File Management and Data Handling** - Practical techniques for working with files, handling data, and implementing common I/O operations.
- **Python for Specific Domains**:
- Data Science and Machine Learning - Texts like "Introduction to Machine Learning with Python" and various machine learning libraries.
- Finance and Quantitative Analysis - Resources like "Financial Theory with Python" and "Python for Finance".
- Web Development - Materials on Python web frameworks and related technologies.
- **Best Practices and Code Quality** - Content on writing clean, maintainable, and robust Python code.
- **Project Organization** - Guidance on creating structured Python packages, modules, and organizing larger codebases.
- **Practical Applications** - Real-world examples and coding exercises to apply theoretical knowledge to practical scenarios.

The series would likely progress from beginner to advanced topics, with each textbook or resource building upon concepts introduced in previous materials.