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Related lectures (17)
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Contextual Abstraction
Explores contextual abstraction in software construction, discussing how functions and classes can be written without detailed knowledge of the context in which they will be used.
Python Object Exercises
Covers Python object exercises with basic syntax questions and practical quizzes.
Type Inference
Explores type inference in statically typed languages, using algorithms to assign types to program expressions accurately.
Data Structures and Functions
Covers the basics of tuples, lists, sets, linear types, conversions, dictionaries, and defaultdicts.
Compiler Extension Lab
Covers the Compiler Extension Lab, focusing on adding new functionality to a simple functional language compiler.
Templates: Programming Concepts
Introduces templates in programming, covering functions, classes, type matching, and meta-programming.
Python Recap: Modules and Objects
Covers Python modules, objects, and data containers like lists and NumPy arrays.