Re: [Tutor] is there an online exam or coarse i can take to get a certificate

2005-07-17 Thread Andreas Kostyrka
Am Samstag, den 16.07.2005, 19:39 +0500 schrieb Mustafa Abbasi:
> is there an online exam or coarse i can take to get a certificate in
> python.
> preferrably cheap and online because i live in pakistan and online
> exams are my only hope.

Not that I would know. Certification for a programming language is even
less useful IMHO than for administration knowledge ;)

Andreas


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[Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread Bill Campbell
I'm going to be doing some work where I'll be doing existence
testings on keys on about a million records where it may require
multiple passes so I'm a bit concerned about the timing of these
tests.

Is there any significant performance difference between the
tests, ``key in dictionary'' and ``dictionary.has_key(key)''?
I would prefer using the ``key in'' because it's a bit easier to
type, and can also be used with lists in addition to dictionaries.

A related question is where's the trade-off between using ``in''
with a list, and a dictionary?  I presume that using it with
small hashes will be faster than dictionries since it doesn't
have to calculate the hashes.

Bill
--
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UUCP:   camco!bill  PO Box 820; 6641 E. Mercer Way
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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread R. Alan Monroe
> Is there any significant performance difference between the
> tests, ``key in dictionary'' and ``dictionary.has_key(key)''?
> I would prefer using the ``key in'' because it's a bit easier to
> type, and can also be used with lists in addition to dictionaries.

Dunno about speed, but they do disassemble slightly differently:


>>> import dis
>>> a={1:2, 3:4}
>>> def x():
... if 3 in a:
... print "3 in"
...
>>> def y():
... if a.has_key(3):
... print "3 has"
...
>>> dis.dis(x)
  2   0 LOAD_CONST   1 (3)
  3 LOAD_GLOBAL  0 (a)
  6 COMPARE_OP   6 (in)
  9 JUMP_IF_FALSE9 (to 21)
 12 POP_TOP

  3  13 LOAD_CONST   2 ('3 in')
 16 PRINT_ITEM
 17 PRINT_NEWLINE
 18 JUMP_FORWARD 1 (to 22)
>>   21 POP_TOP
>>   22 LOAD_CONST   0 (None)
 25 RETURN_VALUE
>>> dis.dis(y)
  2   0 LOAD_GLOBAL  0 (a)
  3 LOAD_ATTR1 (has_key)
  6 LOAD_CONST   1 (3)
  9 CALL_FUNCTION1
 12 JUMP_IF_FALSE9 (to 24)
 15 POP_TOP

  3  16 LOAD_CONST   2 ('3 has')
 19 PRINT_ITEM
 20 PRINT_NEWLINE
 21 JUMP_FORWARD 1 (to 25)
>>   24 POP_TOP
>>   25 LOAD_CONST   0 (None)
 28 RETURN_VALUE


Alan

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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread jfouhy
Quoting Bill Campbell <[EMAIL PROTECTED]>:

> I'm going to be doing some work where I'll be doing existence
> testings on keys on about a million records where it may require
> multiple passes so I'm a bit concerned about the timing of these
> tests.

If you're just doing existence testing, is it an option to use a set? (builtin
to Python 2.4)

I admit, I don't know how it performs.  But it would seem the most appropriate
of the builtin data structures.

-- 
John.
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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread Max Noel


On Jul 17, 2005, at 20:18, Bill Campbell wrote:


Is there any significant performance difference between the
tests, ``key in dictionary'' and ``dictionary.has_key(key)''?
I would prefer using the ``key in'' because it's a bit easier to
type, and can also be used with lists in addition to dictionaries.


While we're on that topic, is there a particular reason why  
'in', in a dict context, searches the keys instead of doing the  
logical thing and searching the values?


-- Max
maxnoel_fr at yahoo dot fr -- ICQ #85274019
"Look at you hacker... A pathetic creature of meat and bone, panting  
and sweating as you run through my corridors... How can you challenge  
a perfect, immortal machine?"







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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread André Roberge
Max Noel wrote:
> 
[snip]
> 
> 
> While we're on that topic, is there a particular reason why  'in', 
> in a dict context, searches the keys instead of doing the  logical thing 
> and searching the values?
animals = { 'cat': "a cuddly little mammal who likes to eat birds",
'dog': "man's best friend, also a mammal and which also can eat birds",
'parrot': "a bird, favoured by Monty Python"}

What is more natural?

if parrot in animals: 

or

if "a bird, favoured by Monty Python" in animals: ...

André

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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread Andreas Kostyrka
Am Montag, den 18.07.2005, 00:53 +0200 schrieb Max Noel:
> On Jul 17, 2005, at 20:18, Bill Campbell wrote:
> 
> > Is there any significant performance difference between the
> > tests, ``key in dictionary'' and ``dictionary.has_key(key)''?
> > I would prefer using the ``key in'' because it's a bit easier to
> > type, and can also be used with lists in addition to dictionaries.
> 
>  While we're on that topic, is there a particular reason why  
> 'in', in a dict context, searches the keys instead of doing the  
> logical thing and searching the values?

Well, sorry I consider key in dict to be more natural than value in
dict.

Actually, there are implementation aspects: key in dict is a hash
lookup. value in dict is a slow iteration over an unsorted "list".

The only way to have a quick value lookup in a dict is keeping a shadow
dictionary with inverted keys and values. (And if it's not a bijective
relationship you probably need value -> list of keys)

Andreas


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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread Andreas Kostyrka
A short trial with timeit.py shows that

k in d is faster than d.has_key(k)

k in d is about as fast as hk(d), where hk = d.has_key

So it seems both expressions are about the same, but the expression
dict.has_key involves an additional dictionary lookup to fetch has_key.

Andreas

Am Sonntag, den 17.07.2005, 11:18 -0700 schrieb Bill Campbell:
> I'm going to be doing some work where I'll be doing existence
> testings on keys on about a million records where it may require
> multiple passes so I'm a bit concerned about the timing of these
> tests.
> 
> Is there any significant performance difference between the
> tests, ``key in dictionary'' and ``dictionary.has_key(key)''?
> I would prefer using the ``key in'' because it's a bit easier to
> type, and can also be used with lists in addition to dictionaries.
> 
> A related question is where's the trade-off between using ``in''
> with a list, and a dictionary?  I presume that using it with
> small hashes will be faster than dictionries since it doesn't
> have to calculate the hashes.
> 
> Bill
> --
> INTERNET:   [EMAIL PROTECTED]  Bill Campbell; Celestial Software LLC
> UUCP:   camco!bill  PO Box 820; 6641 E. Mercer Way
> FAX:(206) 232-9186  Mercer Island, WA 98040-0820; (206) 236-1676
> URL: http://www.celestial.com/
> 
> Government is the great fiction, through which everbody endeavors to
> live at the expense of everybody else.  -- Frederic Bastiat
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Re: [Tutor] OT, Tcl & Python

2005-07-17 Thread Andreas Kostyrka
Am Samstag, den 16.07.2005, 01:19 -0700 schrieb Luis N:
> Hi,
> 
> I was wondering if someone knowledgeable of both Tcl and Python could
> suggest whether it would be a good or a bad idea to write a Python/Tk
> application, with the motive to rewrite the application in Tcl/Tk once
> completed. My reason for considering this route is that I have never
> written a single line of Tcl code nor coded a Tk application in the
> past. My motivation is the greater ease of deployment across systems
> that Tcl seems to offer, with Starkits and Starpacks,
> http://www.equi4.com/starkit.html Tcl also appears useful to learn,
> for writing scripts in tclsh, etc. 

Well, Tcl isn't really a "language". Or if it is, it's so "trivial" that
it is usually explained without a BNF grammar.

tclsh is basically a shell (like /bin/sh), which has been designed to be
easily extendable with C functions. Tcl had only a string data type for
most of it's life. (Other data types like integer where added only in
the last years ;) )

Tcl is quite "cool" as a glue language, but implementing anything beyond
100-lines scripts is painful.

OTOH it's certainly a good idea to learn Tcl (and it's C API).

Andreas

> 
> I've experimented with py2exe in the past, which seems fine for
> Windows, although I have never tried py2app, and this approach seems
> cumbersome. A typical GUI app is approximately 5 MB in python,
> distributed as a collection of files in a folder, whereas a Tcl
> Starpack is a compact 1 MB, distributed as a single file executable. 
> 
> Sincerely,
> 
> 
> Luis 
> 
> 
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Re: [Tutor] OT, Tcl & Python

2005-07-17 Thread ralobao
Why do not do this entirely  in Python ?

Em Seg, 2005-07-18 às 02:00 +0200, Andreas Kostyrka escreveu:
> Am Samstag, den 16.07.2005, 01:19 -0700 schrieb Luis N:
> > Hi,
> > 
> > I was wondering if someone knowledgeable of both Tcl and Python could
> > suggest whether it would be a good or a bad idea to write a Python/Tk
> > application, with the motive to rewrite the application in Tcl/Tk once
> > completed. My reason for considering this route is that I have never
> > written a single line of Tcl code nor coded a Tk application in the
> > past. My motivation is the greater ease of deployment across systems
> > that Tcl seems to offer, with Starkits and Starpacks,
> > http://www.equi4.com/starkit.html Tcl also appears useful to learn,
> > for writing scripts in tclsh, etc. 
> 
> Well, Tcl isn't really a "language". Or if it is, it's so "trivial" that
> it is usually explained without a BNF grammar.
> 
> tclsh is basically a shell (like /bin/sh), which has been designed to be
> easily extendable with C functions. Tcl had only a string data type for
> most of it's life. (Other data types like integer where added only in
> the last years ;) )
> 
> Tcl is quite "cool" as a glue language, but implementing anything beyond
> 100-lines scripts is painful.
> 
> OTOH it's certainly a good idea to learn Tcl (and it's C API).
> 
> Andreas
> 
> > 
> > I've experimented with py2exe in the past, which seems fine for
> > Windows, although I have never tried py2app, and this approach seems
> > cumbersome. A typical GUI app is approximately 5 MB in python,
> > distributed as a collection of files in a folder, whereas a Tcl
> > Starpack is a compact 1 MB, distributed as a single file executable. 
> > 
> > Sincerely,
> > 
> > 
> > Luis 
> > 
> > 
> > ___
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>>> import sys; sys.exit(0)


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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread Kent Johnson
Bill Campbell wrote:
> I'm going to be doing some work where I'll be doing existence
> testings on keys on about a million records where it may require
> multiple passes so I'm a bit concerned about the timing of these
> tests.
> 
> Is there any significant performance difference between the
> tests, ``key in dictionary'' and ``dictionary.has_key(key)''?
> I would prefer using the ``key in'' because it's a bit easier to
> type, and can also be used with lists in addition to dictionaries.

Are you sure you have a problem? How long does it take to process 1000 records?

The best way to answer these questions is with the timeit module running 
production code on production data. Second best is to use timeit on simple test 
cases. Third best (a distant contender) is to guess and ask other people their 
opinion.

But since I am feeling lazy and not in a coding mood I will give you my opinion 
instead of showing you how to use timeit =:-0

I think 'key in dict' is faster than 'dict.has_key()' because it avoids the 
attribute lookup for has_key(). You can see that in Alan Munroe's post. Though 
if you are looking up keys in a loop you can hoist the lookup out of the loop 
with something like
d = {}
hk = d.has_key
for i in someList:
  if hk(i):
# do something if i is in d

If you can write the code to use dict indexing and exception handling that may 
be faster than checking for the key, depending on how often the exception is 
raised.

Finally, if you post a code snippet of what you are trying to do on 
comp.lang.python you will likely get many well-considered responses. The real 
experts in optimization hang out there.

HTH
Kent

> 
> A related question is where's the trade-off between using ``in''
> with a list, and a dictionary?  I presume that using it with
> small hashes will be faster than dictionries since it doesn't
> have to calculate the hashes.
> 
> Bill
> --
> INTERNET:   [EMAIL PROTECTED]  Bill Campbell; Celestial Software LLC
> UUCP:   camco!bill  PO Box 820; 6641 E. Mercer Way
> FAX:(206) 232-9186  Mercer Island, WA 98040-0820; (206) 236-1676
> URL: http://www.celestial.com/
> 
> Government is the great fiction, through which everbody endeavors to
> live at the expense of everybody else.  -- Frederic Bastiat
> ___
> Tutor maillist  -  Tutor@python.org
> http://mail.python.org/mailman/listinfo/tutor
> 

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[Tutor] Just finished creating Shape_Calc.

2005-07-17 Thread Nathan Pinno



Hey all,
 
Just finished shape_calc.py. If anyone is interested in going through the 
code, before I send it to my website, let me know. If no one answers this within 
a week, I post the zip file on my site.
 
Nathan Pinno.

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Re: [Tutor] Python Lists

2005-07-17 Thread DaSmith
Thank you Danny, you guessed correctly, problem solved ! Kind Regards, Daniel Smith  -Danny Yoo <[EMAIL PROTECTED]> wrote: -To: [EMAIL PROTECTED]From: Danny Yoo <[EMAIL PROTECTED]>Date: 07/15/2005 10:06PMcc: tutor@python.orgSubject: Re: [Tutor] Python Lists> I have created a class which has many "Nested list" attributes. When I> create a second instance of the class, the lists are not empty, and> already contain the same values as were held in the previous> instantiation. As a C/C++ programmer, this majes no semns to me at all.> Could someone please explain to me what I must do to avoid this effect.Hi Daniel,I'm not positive that this has to do with lists; do you mind showing us anexample of the kind of classes that you've been writing?As a wild guess, I think you may be doing something like this:##class Person:   friends = []   name = None   def __init__(self, name):       self.name = name   def add_friend(self, other):       self.friends.append(other)   def greet_all(self):       for friend in self.friends:           print "hi", friend   def __str__(self):       return self.name##This is a Person class that has class-scoped variables 'friends' and'name', and when we play around with this, we see some funny things goingon:##>>> j = Person('john')>>> p = Person('paul')>>> r = Person('ringo')>>> j.add_friend(p); j.add_friend(r)>>> s = Person('ikari shinji')>>> j.greet_all()hi paulhi ringo>>> s.greet_all()hi paulhi ringo##How does 's' have friends?All instances of Person will share the same 'friends' list here, so itwill seem that all people are in this big band of brothers and sisters.This is probably nice and communal, but it doesn't reflect the harsh,dog-eat-dog reality, the separation and angst between people and angst.The mistake is to have 'friends' be defined in class-scope, rather than ininstance scope.Let's add that isolation.##class Person:   def __init__(self, name):       self.friends = []       self.name = name   def add_friend(self, other):       self.friends.append(other)   def greet_all(self):       for friend in self.friends:           print "hi", friend   def __str__(self):       return self.name##Here, each person is __init__()ed in the cold, dark world, alone andfriendless, with no friends, and only a name to distinguish themselvesfrom their brethren.##>>> j = Person('john')>>> p = Person('paul')>>> r = Person('ringo')>>> j.add_friend(p); j.add_friend(r)>>> s = Person('ikari shinji')>>> j.greet_all()hi paulhi ringo>>> s.greet_all()>>>##And now Shinji has no friends.  Gosh, this is a depressing example.*grin*Since you have some experience in C++, you may find Mark Pilgrim's"Dive into Python" a useful resource:http://diveintopython.org/object_oriented_framework/defining_classes.htmlI hope this helps clear things up!___
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[Tutor] newbie help> audio IO + python

2005-07-17 Thread ctrl freq
Hi
I've been looking at lots of sites and checked out the docs, but can't
find the info I am looking for to be able to detect audio input from
my sound card.
I want to use input from a mic plugged into my sound card to trigger
events via pySerial.. (which has great docs)
Any help/advice much appreciated!
Thanks,
KG
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Re: [Tutor] Just finished creating Shape_Calc.

2005-07-17 Thread Nathan Pinno




  Luke and all,
   
  Shape_calc helps you to find the area, perimeter, and other 
  info about shapes.
   
  Simple enough.
  
- Original Message - 
From: 
luke 
To: Nathan Pinno 
Sent: Sunday, July 17, 2005 9:42 
PM
Subject: Re: [Tutor] Just finished 
creating Shape_Calc.

what does shape_calc do?
-Luke

  - Original Message - 
  From: 
  Nathan Pinno 
  To: tutor@python.org 
  Sent: Sunday, July 17, 2005 9:57 
  PM
  Subject: [Tutor] Just finished 
  creating Shape_Calc.
  
  Hey all,
   
  Just finished shape_calc.py. If anyone is interested in going through 
  the code, before I send it to my website, let me know. If no one answers 
  this within a week, I post the zip file on my site.
   
  Nathan Pinno.
  
  
  

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Re: [Tutor] OT, Tcl & Python

2005-07-17 Thread Danny Yoo
> Tcl is a fun language with a wholeheap of interesting concepts new to
> Python programmers. So its definitely worth looking at - and its nearly
> always more compact than Python too.

Alan Greenspun, author of one of my favorite web-development books "Philip
and Alex's Guide to Web Publishing", also has written a nice Tcl/Tk
tutorial:

http://philip.greenspun.com/tcl/

If anything, the hilarious picture of a "Tickle Me Elmo" doll on the side
makes it worth visiting.  *grin*

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[Tutor] regular expressions

2005-07-17 Thread Servando Garcia
Hello
Using regular expressions how do I represent Floats.

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Re: [Tutor] is there an online exam or coarse i can take to get a certificate

2005-07-17 Thread Danny Yoo


On Sun, 17 Jul 2005, Andreas Kostyrka wrote:

> Am Samstag, den 16.07.2005, 19:39 +0500 schrieb Mustafa Abbasi:
> > is there an online exam or coarse i can take to get a certificate in
> > python. preferrably cheap and online because i live in pakistan and
> > online exams are my only hope.
>
> Not that I would know. Certification for a programming language is even
> less useful IMHO than for administration knowledge ;)


As a warning, the general feeling among the open source community seems be
be that most certificate programs are useless.  For example:

   http://wingware.com/pipermail/marketing-python/2002-February/003790.html

is anecdotal, but does reflect the popular sentiment that someone who has
a portfolio of real programming projects at hand can show more promise
that who who only has a certificate.

I don't believe there is a consensus yet on a strong, legitimate
accreditation program.  Most of us on the list probably don't know too
much about formal certification, as many of us here are volunteers.  But I
suspect that any of the professional organizations (IEEE, ACM) should be
able to help you in this; try contacting your local engineering groups.

You may also want to ask your question on the main comp.lang.python
newsgroup.  Wait, I see that you may have done this already:

http://aspn.activestate.com/ASPN/Mail/Message/python-list/2744017

Ok, hopefully you should be able to get some answers from there too.


Good luck to you.

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Re: [Tutor] Performance difference, ``in'' vs ``has_key()''

2005-07-17 Thread Danny Yoo
> A related question is where's the trade-off between using ``in'' with a
> list, and a dictionary?  I presume that using it with small hashes will
> be faster than dictionries since it doesn't have to calculate the
> hashes.

Hi Bill,

Scanning for an elements in a list is a "linear" operation, in the sense
that the time it takes to search is proportional to the size of the list.
(Big list == big search time.)

Dictionaries have a lookup time that will probably be a constant-time
operation, regardless of the size of the collection.
(Big dictionary == probably doesn't matter.  *grin*)


This doesn't mean that dictionaries are always faster than lists: as you
know, calculating hash values can take time.  But the cost of hashing is
usually negligible, since many of Python primitive data types (like
strings) automatically cache their hash values too!

There's always a possibility, however remote, that the hash function is
hideous on the kind of data that you're using.  However, Python's
Dictionary implementation has been battle-tested and tuned well, so it's
probably not a mistake to use dictionaries if they seem like the
appropriate data structure.

A good book in algorithms will almost always cover the performance
characteristics of those two strategies; there are also a lot of good
resources on the web about them.  NIST has two articles on those two:

http://www.nist.gov/dads/HTML/linearSearch.html
http://www.nist.gov/dads/HTML/hashtab.html

and the excellent Wikipedia has nice readable articles:

http://en.wikipedia.org/wiki/Linear_search
http://en.wikipedia.org/wiki/Hashtable
http://en.wikipedia.org/wiki/Category:Search_algorithms

Good luck to you!

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Re: [Tutor] regular expressions

2005-07-17 Thread Danny Yoo


On Sun, 17 Jul 2005, Servando Garcia wrote:

> Using regular expressions how do I represent Floats.

Hi Servando,

I know that you're working on a parser project, but the regex for doing
floats is pretty much a homework project.  There's not much we can do
except point you toward the Regular Expression HOWTO tutorial page:

http://www.amk.ca/python/howto/regex/

I'd also strongly recommend that you look at the documentation in the
Python Standard Library, as it does have concrete examples on how to
recognize things like floats here:

http://www.python.org/doc/lib/node117.html


Your question is also context-sensitive: what a floating point number
looks like really depends on what kind of language we're modeling.

As a concrete example, in the ML family of languages:

.42

is not a floating-point literal, although it is one in Python, because
it's missing a leading decimal digit.  Conversely, in the Ruby language,

123_456.789

is a floating point literal, although it isn't one in Python, because
Python doesn't allow underscores.  I guess I'm trying to say: some lexical
conventions are not universal:  otherwise, things would be too easy.
*grin*

You can't assume that everyone uses the same notation for floating point
literals: you need to show examples of what you consider to be floats.
If you want to see Python's specification for floating point literals,
see:

http://www.python.org/doc/ref/floating.html

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[Tutor] I am going to change Giant Calculator into mini calculators.

2005-07-17 Thread Nathan Pinno



Hey all,
 
The subject says it all. If anyone is interested in working on Giant 
Calculator, give me a shout, and I'll send you a ZIP file with the PY 
file.
 
Nathan

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