What is the typical result of not effectively debugging Python code?

Not effectively debugging Python code typically leads to frequent errors during execution. When code is not thoroughly tested and debugged, it may contain logical, syntax, or runtime errors. These can manifest as unexpected behavior, crashes, or incorrect outputs when the code runs.

Without proper debugging, these errors may go unnoticed until they cause a significant problem, which could disrupt the entire application or make it unreliable. Debugging helps identify and resolve these issues early, ensuring the code performs as intended and reducing the likelihood of errors when the program is executed.

The other options contribute less significantly to the overall performance and reliability of the code. Improved code speed can be the result of optimization, but not debugging generally leads to the opposite. Increased code complexity is a potential outcome of poor practices or inadequate debugging but isn’t a direct result of failing to debug specifically. Simplification of tasks does not relate to the consequences of poor debugging, as debugging typically makes tasks more manageable by ensuring that the code is functioning correctly.