Dabeaz – Advanced Programming with Python 2025-8

Updated August 10, 2026 2.69 GB

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Descriptions

Advanced Programming with Python, This course is a pragmatic journey into interesting and useful things learned about problem solving, programming, testing, and design over 30+ years of programming experience. It focuses on advanced programming concepts and asks deeper questions about the practice of programming itself, with the ultimate goal of writing software that looks simple because thought has been put into it.

Major subjects include data abstraction, layering, object-orientation, functional programming, event-driven systems, problem modeling, testing, and lightweight program verification techniques. The greater theme concerns composability – pulling existing components together to form greater systems while managing software complexity and making informed design choices.

What you’ll learn

Master data abstraction, layering, and Python protocols for data manipulation
Learn to design effective interfaces and choose between custom abstractions vs existing ones
Understand when and how to effectively use object-oriented programming and class definitions
Implement event-driven programming for distributed systems and state machines
Apply functional programming concepts including higher-order functions and closures
Develop advanced testing strategies including defensive programming and randomized testing
Focus on problem-centered programming by identifying essential vs non-essential problem parts
Build composable systems by understanding how components interact and design choices impact the whole

Who this course is for

Programmers who want to improve their coding of larger libraries and applications
Developers comfortable with Python’s builtin types, functions, and simple classes
Programmers with general knowledge of common data structures and algorithms
Software engineers interested in big picture issues about system architecture and testing