Oct-21-2023, 05:53 PM
All python code is "executed" when the file is "compiled". First the source is converted into bytecodes, then the bytecodes are executed to define classes and functions and assign variables in the global scope. Syntax errors that result in not being able to parse the source code are caught in the conversion stage. Syntax errors like "this needs to be an expression" are caught in the second stage. Due to the dynamic nature of python, runtime errors like NameErrors, and AttributeErrors cannot be detected at this time. Python doesn't know what kind of object a function argument will be until the function gets called.
You can use a static analysis tool like mypy to catch a lot of the errors that would be caught by a traditional compiler. Consistently using type annotations helps with static analysis, and many IDE's can use the type information to identify potential problems and provide better code completion suggestions.
There is no substitute for testing. Python has great unit testing tools to help you detect runtime errors.
You can use a static analysis tool like mypy to catch a lot of the errors that would be caught by a traditional compiler. Consistently using type annotations helps with static analysis, and many IDE's can use the type information to identify potential problems and provide better code completion suggestions.
There is no substitute for testing. Python has great unit testing tools to help you detect runtime errors.