Dynamically Scheduled HLS: Program Analysis and Control Flow

Covers the basics of Python programming, focusing on flow control structures, interactive mode, script mode, and variables.

Explores static analysis techniques like AST-based analysis and taint analysis applied to the Amy language.

Covers types of errors in programming and emphasizes the importance of debugging and optimization techniques.

Explores closure conversion, function hoisting, and dataflow analysis for program optimization.

Explores the ingredients and selection of algorithms for different goals.