One common pitfall with Python control structures is creating infinite loops, particularly with while loops where the condition never becomes False. This can happen when the loop variable isn't properly updated or when the condition logic is flawed. · Another frequent issue is improper indentation, which in Python directly affects program logic rather than just style; this can lead to code blocks being associated with the wrong control structure or unexpected syntax errors. Similarly, nested control structures that are too deep can create "spaghetti code" that's difficult to follow and debug.

Exception handling in Python functions as a control structure by allowing programs to detect and respond to errors or exceptional conditions without terminating abruptly. The primary construct for this is the try-except block, in which potentially problematic code is placed in the try block, and code to handle specific exceptions goes in one or more except blocks. This structure redirects the flow of execution when an error occurs, similar to how conditional statements alter program flow based on Boolean conditions. · Python's exception handling can be extended with additional clauses: the els

Unlike many other programming languages that use braces {} or keywords (like BEGIN/END) to define blocks, Python relies on consistent indentation (typically four spaces). This enforces a clean, readable coding style by making the structure of the code visually apparent. · This indentation-based syntax has several implications for control structures. It makes nested structures more clearly visible, reducing the likelihood of logic errors that can occur with misplaced braces in other languages. However, it also means that proper indentation is not just a style choice but a syntactical requiremen