On 05/06/2014 22:53, Marko Rauhamaa wrote:
Mark Lawrence <breamore...@yahoo.co.uk>:
On 05/06/2014 21:07, Alain Ketterlin wrote:
Sturla Molden <sturla.mol...@gmail.com> writes:
On 05/06/14 10:14, Alain Ketterlin wrote:
Type safety.
Perhaps. Python has strong type safety.
Come on.
I don't understand that comment, please explain.
I guess what is referred to is static typing. It serves two purposes:
1. It makes the managers of software development teams believe the
junior developers in their teams won't be able to do too much damage
as the compiler at least enforces some rigor in the code. Hence,
"safety."
2. It makes it much easier to automatically optimize the code.
Unfortunately, it also has serious downsides:
3. The code becomes very tedious to type in. You may need hundreds of
lines of boilerplate code before it actually does anything. It also
easily makes you lose your focus.
4. The flow of the code becomes hard to understand because of the
boilerplate. Ironically, the very straitjacket that seeks to force
good quality on you prevents you from seeing the forest for the
trees.
Example:
Map<StreetAddress, ZipCode> makeStreetAddressMap(
List<StreetInfo> infoList) {
Map<StreetAddress, ZipCode> map =
new HashMap<StreetAddress, ZipCode>();
for (StreetInfo info : infoList)
map.put(info.getStreetAddress(), info.getZipCode());
return map;
}
vs
def make_street_address_map(info_list):
map = {}
for info in info_list:
map[info.get_street_address()] = info.get_zip_code()
return map
or:
def make_street_address_map(info_list):
return dict((info.get_street_address(), info.get_zip_code())
for info in info_list)
Marko
Interesting. We've gone from "Python has strong type safety" to "come
on" to "I guess what is referred to is static typing". I'll simply say
that I understand Python to be strongly, dynamically typed.
--
My fellow Pythonistas, ask not what our language can do for you, ask
what you can do for our language.
Mark Lawrence
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