Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.
Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.
