Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.
Introduces Python programming basics, covering variables, methods, conditions, loops, and boolean logic.
Introduces numbers and booleans in Python, covering numeric types, arithmetic operations, logical operations, and comparisons.
Covers common operations on sequences like lists and tuples, including slicing, extending, and replacing elements.
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Covers the basics of LabVIEW, including its importance, history, functions, and tools available.
Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.
Covers Python sets operations, including creation, modification, and comparison, as well as set operations like union and intersection.
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
