Apr 22, 2013 · In the Python world, using exceptions for flow control is common and normal. -- I think it's worth drawing a distinction between "the Python world" and "the CPython core devs world". I've worked on a lot of Python codebases and rarely see exceptions used for flow control, and have seen many Python developers discourage that use.

Jun 10, 2013 · While in Java it's indeed a bad practice to use exceptions for flow control (mainly because exceptions force the JVM to gather resources (more here)), in Python you have two important principles: duck typing and EAFP.

From the Python docs: EAFP Easier to ask for forgiveness than permission. This common Python coding style assumes the existence of valid keys or attributes and catches exceptions if the assumption proves false. This clean and fast style is characterized by the presence of many try and except statements.

In Python, is it possible to have multiple except statements for one try statement? Such as: try: #something1 #something2 except ExceptionType1: #return xyz except ExceptionType2: #...

Sep 4, 2010 · And yes, the way you've combined with and try-except is pretty much the only way to do it, as exceptional errors caused within the open statement itself can't be caught within the with block.

May 12, 2019 · When you just want to do a try-except without handling the exception, how do you do it in Python? Is the following the right way to do it? try: shutil.rmtree(path) except: pass

What will be text if page = urllib.request.urlopen(url) will raise an exception? If you want to set it with some value you can do it in the except scope or outside the try except block.

Feb 4, 2014 · If you use the generic try/catch, it indicates either that you do not understand the possible run-time errors in your program, or that you do not know what exceptions are possible in Python.

Dec 30, 2010 · A better approach is to make use of the standard Python Logging module. import sys, traceback, logging logging.basicConfig(level=logging.ERROR) try: x = 0 y = 1 z = y / x z = z + 1 print "z=%d" % (z) except: logging.exception("Values at Exception: x=%d y=%d " % (x,y)) This produces the following output: ERROR:root:Values at Exception: x=0 y=1 Traceback (most recent call last): File "py ...

Doing this way, python will execute the block of code regardless the exception was thrown, or not. Like this: try: do_smth1() except: pass finally: do_smth2() But, if you want to execute do_smth2 () only if the exception was not thrown, use a "else" block: try: do_smth1() except: pass else: do_smth2() You can mix them too, in a try/except/else ...