Hello python-list,
As I Understood, semantic may be next:
def qwerty(a,a.i,b,b.i,f.j):
pass
Would work like:
def qwerty(anonymous1,anonymous2,anonymous3,anonymous4,anonymous5):
(a,a.i,b,b.i,f.j)=(anonymous1,anonymous2,anonymous3,anonymous4,anonymous5)
del anonymous1
I know I came after the battle. And I have just another sight on context
managment.
Simple Context Managment may look in Python 2.4.1 like this:
Synhronized example:
def Synhronised(lock,func):
lock.acquire()
try:
func()
finally:
lock.rele
Sorry. I was wrong about "global" statement.
Then examples seems to be even more intricate:
def Synhronised(lock,func):
lock.acquire()
try:
func()
finally:
lock.release()
lock=Lock()
def Here_I_work(*a): return 1 # Stub
def asd(a): retur
Can someone please recommend a python web app framework which doesn't
abstract away sql in favor of python objects?
As far as I can tell, frameworks such as django, turbo gears, etc.
allow one to drop down the the sql layer, however that is not the most
effecient use of the framework. I would lik
Hi All,
I am fairly new to Python (less than a week). My goal is to write a
small prototype of a database. Rather than build it using the typical
method where one provides selection, projection, aggregation, union,
intersection, etc. functions, I would like to do it in a more
'functional' style (
I forgot to add that I passing a tuple of functions to the reduce
function but apparently that is not allowed. My guess was that a tuple
made up of individual (simple) functions might be easier to manipulate
programatically than a function which has to know the structure of a
list.
(My test code)
Wow, great answers here. Thank you all for the links and examples, I'm
going through them all now.
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Is there a way I can do time series calculation, such as a moving
average in list comprehension syntax? I'm new to python but it looks
like list comprehension's 'head' can only work at a value at a time. I
also tried using the reduce function and passed in my list and another
function which calcu
Wow, thanks for all the reponses. Very helpful!
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