Is Python a

Why You Will Care: Error ChecksOne way to see how exceptions are useful is to compare coding styles in Python andlanguages without exceptions. For instance, if you want to write robust programs inthe C language, you generally have to test return values or status codes after every operationthat could possibly go astray, and propagate the results of the tests as yourprograms run:doStuff( ){ # C programif (doFirstThing( ) == ERROR) # Detect errors everywherereturn ERROR;# even if not handled hereif (doNextThing( ) == ERROR)return ERROR;...return doLastThing( );}main( ){if (doStuff( ) == ERROR)badEnding( );elsegoodEnding( );}In fact, realistic C programs often have as much code devoted to error detection as todoing actual work. But in Python, you don’t have to be so methodical and neurotic.You can instead wrap arbitrarily vast pieces of a program in exception handlers, andsimply write the parts that do the actual work, assuming all is well:def doStuff( ): # Python codedoFirstThing( ) # We don't care about exceptions here,doNextThing( ) # so we don't need to detect them...doLastThing( )if_ _name_ _ == '_ _main_ _':try:doStuff( ) # This is where we care about results,except:# so it's the only place we must checkbadEnding( )else:goodEnding( )Because control jumps immediately to a handler when an exception occurs, there’s noneed to instrument all your code to guard for errors. Moreover, because Python detectserrors automatically, your code usually doesn’t need to check for errors in the firstplace. The upshot is that exceptions let you largely ignore the unusual cases and avoiderror-checking code.with/as Context Managers | 599