[issue42621] Python IDLE no longer opens after clicking on its icon

[Avinash Gaur]

Avinash Gaur <8962...@gmail.com> added the comment:

I tried deleting Environment Variables which has python. and now it is working.

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status: open -> closed

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[issue42621] Python IDLE no longer opens after clicking on its icon

[Avinash Gaur]

Avinash Gaur <8962...@gmail.com> added the comment:

I downloaded the .exe file from python.org
After trying to open the idle from cmd "py -3.9 -m idlelib", the error shown in 
picture comes.(python 3.7 was also showing same error)

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[issue42621] Python IDLE no longer opens after clicking on its icon

[Avinash Gaur]

Change by Avinash Gaur <8962...@gmail.com>:


--
versions: +Python 3.9 -Python 3.7

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[issue42621] Python IDLE no longer opens after clicking on its icon

[Avinash Gaur]

New submission from Avinash Gaur <8962...@gmail.com>:

I was able to use python IDLE earlier. But when I tried to open now, I was 
unable to open Python 3.7 IDLE. I have tried uninstalling and reinstalling 
Python(different versions) and deleting the .idlerc folder. I am using Windows 
10.

--
assignee: terry.reedy
components: IDLE
messages: 382864
nosy: 8962avi, terry.reedy
priority: normal
severity: normal
status: open
title: Python IDLE no longer opens after clicking on its icon
type: behavior
versions: Python 3.7

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Python idle did not open even after trying many times

[avinash gaur]

Dear Sir/Mam,
I am facing a problem with Python Idle. I am unable to open python idle
even after clicking on it so many times. I am using Python 3.7 on Windows.
I have already installed and uninstalled python 3.7 so many times. But it
is not working
Any help will be appreciated
Thanking you
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[issue41408] Add a `clamp` function to the `math` module

[Avinash Maddikonda]

Avinash Maddikonda  added the comment:

Okay, I'm rejecting this issue. But please let me know/contribute if anyone is 
going to add a clamp function as a built-in method or a math module function.

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[issue41408] Add a `clamp` function to the `math` module

[Avinash Maddikonda]

Change by Avinash Maddikonda :


--
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stage:  -> resolved
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[issue41408] Add a `clamp` function to the `math` module

[Avinash Maddikonda]

Avinash Maddikonda  added the comment:

So should I delete/reject this now? Because I think it would be more useful 
than functions like copysign (I mean copysign can be written easily without 
confusion, but clamp is confusing sometimes as the max function takes minimum 
and the min of value and the maximum, and yet we have a copysign function but 
not a clamp built-in or a math module function).

(I'll delete/reject if you guys want me to, np)

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[issue41408] Add a `clamp` function to the `math` module

[Avinash Maddikonda]

Avinash Maddikonda  added the comment:

Oh, I didn't know that. But I was thinking of adding it to the math module and 
not as a built-in method. I mean, it is definitely more useful than copysign, 
right?

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[issue41408] Add a `clamp` function to the `math` module

[Avinash Maddikonda]

New submission from Avinash Maddikonda :

Add a `clamp` function to the `math` module which does something like this:  
  
```py
def clamp(value=0.5, minimum=0, maximum=1):
"""Clamps the *value* between the *minimum* and *maximum* and returns it..


"""

return max(minimum, min(value, maximum))
```
  
Because even `C++` has built-in clamp function (`std::clamp`) (which can be 
used using `#include `)

--
components: Library (Lib)
messages: 374373
nosy: SFM61319
priority: normal
severity: normal
status: open
title: Add a `clamp` function to the `math` module
type: enhancement
versions: Python 3.10

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[issue37439] Add random.binomialvariate()

[Avinash Sajjanshetty]

Avinash Sajjanshetty  added the comment:

@Mark - Newb here and before I could see your reply, I sent a PR cos I thought 
simple implementation provided by Raymond Hettinger was good enough. Shall I 
update the PR? 

I will add the tests soon.

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[issue37439] Add random.binomialvariate()

[Avinash Sajjanshetty]

Change by Avinash Sajjanshetty :


--
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pull_requests: +14343
stage:  -> patch review
pull_request: https://github.com/python/cpython/pull/14530

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[issue36497] Undocumented behavior in csv.Sniffer (preferred delimiters)

[Avinash Sajjanshetty]

Avinash Sajjanshetty  added the comment:

can I take up this issue?

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[issue36689] docs: os.path.commonpath raises ValueError for different drives

[Avinash Sajjanshetty]

Avinash Sajjanshetty  added the comment:

status of issue should be closed? cos the related PR is already merged

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[issue36167] DOC: Incorrect capitalization in Programming FAQ

[Avinash Sajjanshetty]

Change by Avinash Sajjanshetty :


--
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pull_request: https://github.com/python/cpython/pull/14482

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[issue36167] DOC: Incorrect capitalization in Programming FAQ

[Avinash Sajjanshetty]

Avinash Sajjanshetty  added the comment:

I would like to send a PR for this

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[issue18108] shutil.chown should support dir_fd and follow_symlinks keyword arguments

[Avinash Sajjanshetty]

Avinash Sajjanshetty  added the comment:

I was looking for an easy patch to submit. I can take an attempt at this?

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[issue7202] "python setup.py cmd --verbose" does not set verbosity

[Avinash Sajjanshetty]

Avinash Sajjanshetty  added the comment:

I would like to take this up task and propose a patch. However, I am not able 
to reproduce this issue on my machine (3.7.1). Does the issue seem to be fixed?

Here is what I tried: 

1. 

python setup.py --verbose build

I got the verbose build, as expected. 

2. 

python setup.py build --verbose 

In this case, it seems to have ignored the verbose option, as I got a normal 
(non-verbose) output. 

3. since the issue is with `verbose`, I tried quiet. 

python setup.py --quiet build

I got a quiet build. 

4. 

python setup.py build --quiet 


it ignored the quiet option, as I got a normal output.


5. I also tried a non-existent option. In the following both cases, I got an 
error saying 

error: option --qqqp not recognized


for 


python setup.py --qqqp build


and 


python setup.py build --qqqp

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[issue35707] time.sleep() should support objects with __float__

[AVINASH MISHRA]

AVINASH MISHRA  added the comment:

hey i am a total newbie to open source contribution.
can you help me understand this issue and can i help solve this issue?

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Re: RuntimeError: The size of the array returned by func does not match the size of y0

[avinash ramu]

Hi,
The number of elements returned by the function f() needs to match the
number of elements in the initial condition y0.

The problem seems to be in this part of the code,

```
for j in range(0,3*N/2+3):
return ydot[j]
```

It is returning the first element instead of the list.  I modified your
code to use a temporary list(ydot_new), I then add elements to this new
list using the `for` statement and return the list. This seems to work
fine!  See below,

79 ydot_new = []
80 for j in range(0,3*N/2+3):
81 ydot_new.extend(ydot[j])
82 return ydot_new

(I'm not an expert on ODE, so I'm not sure how to verify the correctness!)
Cheers,
Avi


On Thu, Nov 5, 2015 at 9:54 PM, Abhishek  wrote:

> I have recently switched from programming heavily in MATLAB to programming
> in Python. Hence I am having some issues running the Python code that I
> have written. I am using IPython with Anaconda2 on Windows 7 and using
> numPy and SciPy to integrate a system of ordinary differential equations. I
> have generalized the system of ODEs for any number 'N' of them.
>
> I have two versions of code that do the same thing, and give the same
> error message. One version uses 'exec' and 'eval' heavily, and the other
> uses arrays heavily. Here is my code for the array version:
>
> --
> import numpy as np
> import matplotlib.pyplot as plt
> from scipy.integrate import odeint
>
> #Constants and parameters
> N = 2
> K00 = np.logspace(0,3,101,10)
> len1 = len(K00)
> epsilon = 0.01
> y0 = [0]*(3*N/2+3)
> u1 = 0
> u2 = 0
> u3 = 0
> Kplot = np.zeros((len1,1))
> Pplot = np.zeros((len1,1))
> S = [np.zeros((len1,1)) for  in range(N/2+1)]
> KS = [np.zeros((len1,1)) for  in range(N/2+1)]
> PS = [np.zeros((len1,1)) for  in range(N/2+1)]
> Splot = [np.zeros((len1,1)) for  in range(N/2+1)]
> KSplot = [np.zeros((len1,1)) for  in range(N/2+1)]
> PSplot = [np.zeros((len1,1)) for  in range(N/2+1)]
>
> for series in range(0,len1):
> K0 = K00[series]
> Q = 10
> r1 = 0.0001
> r2 = 0.001
> a = 0.001
> d = 0.001
> k = 0.999
> S10 = 1e5
> P0 = 1
> tfvec = np.tile(1e10,(1,5))
> tf = tfvec[0,0]
> time = np.linspace(0,tf,len1)
>
> #Defining dy/dt's
> def f(y,t):
> for alpha in range(0,(N/2+1)):
> S[alpha] = y[alpha]
> for beta in range((N/2)+1,N+1):
> KS[beta-N/2-1] = y[beta]
> for gamma in range(N+1,3*N/2+1):
> PS[gamma-N] = y[gamma]
> K = y[3*N/2+1]
> P = y[3*N/2+2]
>
> # The model equations
> ydot = np.zeros((3*N/2+3,1))
> B = range((N/2)+1,N+1)
> G = range(N+1,3*N/2+1)
> runsumPS = 0
> runsum1 = 0
> runsumKS = 0
> runsum2 = 0
>
> for m in range(0,N/2):
> runsumPS = runsumPS + PS[m+1]
> runsum1 = runsum1 + S[m+1]
> runsumKS = runsumKS + KS[m]
> runsum2 = runsum2 + S[m]
> ydot[B[m]] = a*K*S[m]-(d+k+r1)*KS[m]
>
> for i in range(0,N/2-1):
> ydot[G[i]] = a*P*S[i+1]-(d+k+r1)*PS[i+1]
>
> for p in range(1,N/2):
> ydot[p] = -S[p]*(r1+a*K+a*P)+k*KS[p-1]+ \
>   d*(PS[p]+KS[p])
>
> ydot[0] = Q-(r1+a*K)*S[0]+d*KS[0]+k*runsumPS
> ydot[N/2] = k*KS[N/2-1]-(r2+a*P)*S[N/2]+ \
> d*PS[N/2]
> ydot[G[N/2-1]] = a*P*S[N/2]-(d+k+r2)*PS[N/2]
> ydot[3*N/2+1] = (d+k+r1)*runsumKS-a*K*runsum2
> ydot[3*N/2+2] = (d+k+r1)*(runsumPS-PS[N/2])- \
> a*P*runsum1+(d+k+r2)*PS[N/2]
>
> for j in range(0,3*N/2+3):
> return ydot[j]
>
> # Initial conditions
> y0[0] = S10
> for i in range(1,3*N/2+1):
> y0[i] = 0
> y0[3*N/2+1] = K0
> y0[3*N/2+2] = P0
>
> # Solve the DEs
> soln = odeint(f,y0,time,mxstep = 5000)
> for alpha in range(0,(N/2+1)):
> S[alpha] = soln[:,alpha]
> for beta in range((N/2)+1,N+1):
> KS[beta-N/2-1] = soln[:,beta]
> for gamma in range(N+1,3*N/2+1):
> PS[gamma-N] = soln[:,gamma]
>
> for alpha in range(0,(N/2+1)):
> Splot[alpha][series] = soln[len1-1,alpha]
> for beta in range((N/2)+1,N+1):
> KSplot[beta-N/2-1][series] = soln[len1-1,beta]
> for gamma in range(N+1,3*N/2+1):
> PSplot[gamma-N][series] = soln[len1-1,gamma]
>
> for alpha in range(0,(N/2+1)):
> u1 = u1 + Splot[alpha]
> for beta in range((N/2)+1,N+1):
> u2 = u2 + KSplot[beta-N/2-1]
> for gamma in range(N+1,3*N/2+1):
> u3 = u3 + PSplot[gamma-N]
>
> K = soln[:,3*N/2+1]
> P = soln[:,3*N/2+2]
> Kplot[series] = soln[len1-1,3*N/2+1]
> Pplot[series] = soln[len1-1,3*N/2+2]
> utot = u1+u2+u3
>
> #Plot
> plt.plot(np.log10(K00),utot[:,0])
> plt.show()
> 

Writing Extensions for Python 3 in C

[Aditya Avinash]

Hi. This is the last place where I want to ask a question. I have searched
for lots of tutorials and documentation on the web but, didn't find a
decent one to develop extensions for Python 3 using a custom compiler
(mingw32, nvcc). Please help me.
PS: Don't point me to Python Documentation. It is not good for beginners.
It doesn't elaborate about calls and implementation.

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Re: Brainwave: A Complete Web Platform With Database Out of the Box

[Avinash Vora]

On Aug 5, 2008, at 8:37 PM, Michael Mabin wrote:

Brainwave is a complete Web Development Platform with a DDL-free  
database.  Its application server is built on CherryPy. It comes  
already bundled with Cheetah and Mako templating engines.  And its  
database is its true gem.


You aren't differentiating too far from TurboGears at this point.

The database is built on a neural model.  Each significant piece  
of data is a meme that can be linked to other memes allowing for  
creation of complex records that can be easily related to other  
records.


I don't quite follow this, but...

It's free for single-server users and licenses can be purchased for  
the development and deployment of fuly scalable enterprise apps on  
multiple servers.


Uh oh.

Noone can really be told what Brainwave is.  You have to download  
and try the SDK for yourself at http://www.brainwavelive.com..


Actually, I would like to be told.  I'm pretty sure that with a decent  
explanation, I could follow.  Your self-described gem is--by you--so  
vaguely explained that this whole operation doesn't inspire any  
confidence.


More problems: large form to fill out; huge license agreement; very  
little documentation outside of PDF; online demo links to a local IP  
address; NOTHING I can find on the website actually runs on Brainwave  
etc. etc.


Maybe in a few years I'd give this a try, but for now, I'd focus on  
releasing something that you are willing to back a bit more.  Spend  
all your time making your website look good with content that is  
available online easily.  Don't make it a chore for me to get your  
product.  If you don't trust your own product enough to run your own  
website/blog on it, hide the PHP file extension, and don't put a  
banner on your blog proclaiming a competitor's product.


Try not to take this too harshly--I hope it is constructive criticism.

--
Avi
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Re: Is there a faster way to do this?

[Avinash Vora]

On Aug 5, 2008, at 10:00 PM, [EMAIL PROTECTED] wrote:


I have a csv file containing product information that is 700+ MB in
size. I'm trying to go through and pull out unique product ID's only
as there are a lot of multiples. My problem is that I am appending the
ProductID to an array and then searching through that array each time
to see if I've seen the product ID before. So each search takes longer
and longer. I let the script run for 2 hours before killing it and had
only run through less than 1/10 if the file.


Why not split the file into more manageable chunks, especially as it's  
just what seems like plaintext?



Heres the code:
import string

def checkForProduct(product_id, product_list):
   for product in product_list:
   if product == product_id:
   return 1
   return 0


input_file=c:\\input.txt
output_file=c:\\output.txt
product_info = []
input_count = 0

input = open(input_file,r)
output = open(output_file, w)

for line in input:
   break_down = line.split(,)
   product_number = break_down[2]
   input_count+=1
   if input_count == 1:
   product_info.append(product_number)
   output.write(line)
   output_count = 1


This seems redundant.


   if not checkForProduct(product_number,product_info):
   product_info.append(product_number)
   output.write(line)
   output_count+=1


File writing is extremely expensive.  In fact, so is reading.  Think  
about reading the file in whole chunks.  Put those chunks into Python  
data structures, and make your output information in Python data  
structures.  If you use a dictionary and search the ID's there, you'll  
notice some speed improvements as Python does a dictionary lookup far  
quicker than searching a list.  Then, output your data all at once at  
the end.


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Re: Teething troubles with Python on a Mac

[Avinash Vora]

(Greg: You only sent the email to me: you probably wanted to add the  
mailing list to the recipients.)


On Aug 4, 2008, at 8:37 AM, greg wrote:


Avi wrote:


On that: how would I go about updating the system Python, then?


The usual advice is not to try to do that at all.
Generally it's best to treat anything in /System
as off-limits.


Right, but I meant if there is an Apple-sanctioned way.  I guess not?


(I used to do so, but it
caused so many issues with installing new packages that I gave up on
it)


I've very rarely had any problem with maintaining my
own Python installation, but as I said, I always install
packages using python setup.py.


I guess I'll give it a shot, then.  Alias in bash to MacPython, I  
assume?



Python itself copes very well with having multiple
versions installed, on all platforms, but you have to
do things the Python way.


My point was that it seems to be a bit of a hack.

Thanks for the advice from everyone, though.

--
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Re: Peer-to-Peer Chat Program

[Avinash Vora]

On Aug 4, 2008, at 10:44 AM, Trevor Slocum wrote:

Python seemed like the right choice for writing a peer-to-peer  
application, as the support for sockets is adequate and the cross- 
platform ability is nominal.  That's why I searched around for P2P  
frameworks in Python, and didn't have much luck.


I've had this problem too.

Like I said, I didn't know anything about P2P before this, and I'm  
sure much of what I've done so far can be improved upon.  That's why  
I'm posting here.  I'd like to make an open request to anyone who  
would like to assist me in the application development to reduce the  
resource usage and improve the overall network efficiency.  Even  
simple Ah, I saw you were doing this in your code, I recommend you  
do this... would be of great help.


Well, I have about the same level of experience that you do, but I'll  
take a look at the code and see if I can offer assistance.


If you are interested, you may view the Google Code page at http://code.google.com/p/kaishi/ 
 or checkout the SVN repository directly using http://kaishi.googlecode.com/svn/trunk/


I haven't read the code itself yet, but I'm extremely interested in  
the project.  I'm a fairly experienced Pythonista, yet I've never  
really worked on networked projects in any programming language  
before.  Not only does it interest me, but it's a good way to expand  
my knowledge base.


I have proper hosting and can set up a specific website for  
collaboration on project ideas and such if support is carried after  
this message.  I thank anyone who has taken their time to read this.


I would be interested in collaborating in a project like this, I  
think.  Feel free to email me privately to talk further if you wish.


--
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Re: Teething troubles with Python on a Mac

[Avinash Vora]

You will likely cause more problems updating the system python than
managing the two separate installations.


That's sadly worrying.


OSX relies on the version of python they ship.


I think that helps my point--there *are* bug fixes between major  
versions despite the new language changes, and that can really only be  
a good thing.



While there are likely cases where it could be
replaced completely safely the risks of having to re-install your OS
at some point because it has the wrong version of python are not worth
it.



I haven't been a Mac user long enough to see a major version change (I  
was on Linux/XP/Vista for most of 2.4 and switched distributions right  
after 2.5 came out, and then XP before that), so I've never seen a  
version change, but is this the sort of thing that will be upgraded in  
Software Update?


- Avinash

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Re: very large dictionary

[Avinash Vora]

On Aug 4, 2008, at 4:12 AM, Jörgen Grahn wrote:


(You might want to post this to comp.lang.python rather than to me --
I am just another c.l.p reader.  If you already have done to, please
disregard this.)


Yeah, I hit reply by mistake and didn't realize it.  My bad.


(I assume here that Berkeley DB supports 7GB data sets.)


If I remember correctly, BerkeleyDB is limited to a single file size
of 2GB.


Sounds likely.  But with some luck maybe they have increased this in
later releases?  There seem to be many competing Berkeley releases.


It's worth investigating, but that leads me to:


I haven't caught the earlier parts of this thread, but do I
understand correctly that someone wants to load a 7GB dataset into  
the

form of a dictionary?


Yes, he claimed the dictionary was 6.8 GB.  How he measured that, I
don't know.



To the OP: how did you measure this?

--
Avi

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some information

[Sandeep Avinash Gohad]

Hi,I want to know weather python conducts any certification exams like the other programming languages - 
Microsoft (MCP,MCSD)
Sun (sun certification)

Regards,
Sandeep  




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[ICCIMA'05] Final Call for Papers; Due Date March 10, 2005

[avinash]

We apologize if this is a duplicate email.


International Conference on Computational Intelligence and
Multimedia Applications, (ICCIMA) August 16-18, 2005
University of Nevada, Las Vegas, USA
 (www.iccima.org)
F I N A LC A L L  F O R P A P E R S


The International Conference on Computational Intelligence and
Multimedia Applications will be held at the University of Nevada, Las
Vegas, USA on August 16-18, 2005. The conference will provide an
international forum for discussion on issues in the areas of
Computational Intelligence and Multimedia for scientists, engineers,
researchers and practitioners. ICCIMA'05 is organized jointly with
International Conference on Systems Engineering (ICSEng'05:
www.icseng.info) and the registered participants of ICCIMA'05 will be
able to attend ICSEng'05.

The conference will include sessions on theory, implementation and
applications, as well as the non-technical areas of challenges in
education and technology transfer to industry. There will be both oral
and poster sessions.  Accepted full papers will be included in the
proceedings  to be published by IEEE CS Press. Selected papers will be
published in International Journal on Computational Intelligence and
Applications published by World Scientific Publishing Company Press.
Several well-known keynote speakers will address the conference.

Conference Topics Include (but not limited to):
Artificial Intelligence, Artificial Neural Networks, Pattern
Recognition, Fuzzy Systems, Genetic Algorithms, Hybrid Systems,
Intelligent Control, Intelligent Databases, Knowledge-based
Engineering, Learning Algorithms, Memory: Storage and Retrieval,
Multimedia Systems, Formal Models for Multimedia, Interactive
Multimedia, Multimedia and Virtual Reality, Multimedia and
Telecommunications, Multimedia Information Retrieval, Multimedia and
Security, Multimedia Hardware, Multimedia and Algorithms.

Special Poster Session:

 ICCIMA'05 will include a special poster session devoted to recent work
and work-in-progress. Abstracts are solicited for this session (2 page
limit) in camera ready form, and may be submitted up to 30 days before
the conference date. They will not be refereed and will not be included
in the proceedings, but will be distributed to attendees upon arrival.
Students are especially encouraged to submit abstracts for this
session.

Invited Sessions: Keynote speakers (key industrialists, chief research
scientists and leading academics) will be addressing the main issues of
the conference.

Important Dates: Submission of papers received latest on:  March 10,
2005

Submission of Papers: Papers in English reporting original and
unpublished research results and experience are solicited. Electronic
submission of papers via www.iccima.org. Visit the web page for more
information.

Page Limits: Papers for refereeing should be double-spaced and must
include an abstract of 100-150 words with up to six keywords. Selected
papers will have a limit of 6 pages in the proceedings to be published
by IEEE.

Evaluation Process: All submissions will be refereed based on the
following criteria by two reviewers with appropriate background:
  originality
 significance
 contribution to the area of research
 technical quality
 relevance to ICCIMA 2005 topics
 clarity of presentation

Contact Information:
ICCIMA' 05 Secretariat
Department of Electrical and Computer Engineering
University of Nevada, Las Vegas
4505 Maryland Parkway, Box 454026
Las Vegas, NV 89154-4026
USA

Phone:  +1 702 895 4184
Fax:  +1 702 895 1115
email:[EMAIL PROTECTED]
URL:  http://www.iccima.org/
___
Conf mailing list
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[ICSEng'05] Final CFP - due date March 10, 2005

[avinash]

We apologize if this is a duplicate email.


EIGHTEENTH INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING (ICSEng05)
LAS VEGAS, USA,
AUGUST 16-18, 2005
(http://www.icseng.info)

This series of International Conferences is jointly organized on a
rotational basis among three institutions, University of Nevada, Las
Vegas, USA, Technical University of Wroclaw, Poland, and Coventry
University, UK. In August 2005, the 18th International Conference will
be held in Las Vegas, NV, at the University of Nevada, Las Vegas, USA.
The Proceedings of the conference will be published by IEEE  CS.
ICSEng05 is organized jointly with the International Conference on
Computational Intelligence and Multimedia Applications (ICCIMA'05:
www.iccima.org) and the registered participants of ICSEng05 will be
able to attend ICCIMA05.

Scope of Conference:
The Conference will cover the general area of Systems Engineering, with
particular emphasis being placed on applications. It is expected to
include sessions on the following themes:
Avionics
Computer Algorithms, Databases, Parallel and Distributed Systems,
Networks
Digital systems, Architecture
Control Theory, System Identification and Adaptive Control, Nonlinear
Controls
Engineered Systems for Nuclear Waste Management
Environmental Systems and Energy Systems
Expert Systems and Artificial Intelligence
Finance Engineering
Geographic Information Systems
Global Position Systems
Information Theory and Communication Systems
Neural Network and Applications
Requirements Processes
Risk Management
Robotics and Industrial Automation
Systems Engineering Metrics
Systems Engineering Paradigms, Standards and Challenges
System Architecture
Standards and Testing
Signal Processing
Systems Engineering Education
Transportation Systems

Special Tracks:

1. Data Fusion:
Data fusion is the concept of comparing, combining, and interpreting
data over time and from disparate information sources (sensors, data
bases, and knowledge bases) in order to gain a better understanding of
ones environment, scenario, and/or situation.  The four primary level
of data fusion include object refinement, situational assessment,
impact assessment, and refinement.  The applications of and
technologies associated with data fusion are quite varied.
Applications include (but are not limited to) target tracking, fault
detection and diagnosis, environmental monitoring, control systems,
medical systems, robotics, and traffic control.  Technologies in the
field of data fusion include estimation theory, neural networks, fuzzy
logic, control, probability theory, image processing, decision theory,
and data mining. Papers are being sought for this special session on
data fusion which address advances in fusion technologies and
applications of data fusion systems. One page abstracts for the purpose
of reviewing are due by March 10, 2004.
For more information: http://www.icseng.info/data.htm

2. Risk Management:
This track is ideal for program/project managers, project personnel,
risk managers, and support personnel wanting to develop and expand
knowledge, and share experiences, on best practices in aerospace risk
management processes. Presentations by invited speakers, followed by a
panel discussion, are provided for track participants. Risk management
is a project-wide effort involving management, engineering, production,
test, and support personnel.  Several customers, including NASA and the
DoD, continue to observe that risk management is important to project
success and yet lacks rigor in a majority of space activities.  This
track on Current Trends and Best Practices in aerospace risk management
is designed to explore risk management contributions to current and
future space programs, including projects from many customer
communities (including commercial, NASA, DoD, and ESA among others).
Key themes include how practices are applied successfully to programs
and organizations, how the risk process influences decision-making and
project cost management, and selection of successful tools for
quantitative cost and schedule risk analysis.  Lessons learned from
executing risk management on a wide variety of programs will be
presented to illustrate implementation of success-oriented risk
processes. One page abstracts for the purpose of reviewing are due by
March 10, 2004.
For more information: http://www.icseng.info/strm.htm

3. Computer Infrastructure for Systems Biology:

The special session's goal is to bring forth ideas and collaborations
among industrial and academic bioinformaticians, biocomputing
professionals, data analysts, and system biologists to facilitate
systems biology research and findings. Both research papers (6 pages,
IEEE Proceedings format) and poster papers (2 pages) are solicited to
explore case histories of building and maintaining IT infrastructures
that support advanced biological research. Both industrial and academic
contributions are welcome.

Systems Biology is an emerging field that seeks to analyze disparate

creating csv file from

[Sandeep Avinash Gohad]

Please Help me

I wish to download the data from any URL (from any website) and
then want to save into .csv format.

In the python documentation 12.20 csv -- CSV File Reading and Writing
import csv
reader = csv.reader(file(some.csv))
for row in reader:
  print row

How can i use the url as an input so that I can save data from that particular webpage to comma seperated file (csv).

Regards
Sandeep


  





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