[SciPy-User] [job] Python Job at Hedge Fund

[Vincent Schut]

On 06/08/2011 04:00 PM, Keith Goodman wrote:
> On Wed, Jun 8, 2011 at 12:41 AM, Vincent Schut<schut at sarvision.nl>  wrote:
>> On 06/07/2011 05:32 PM, Keith Goodman wrote:
>>> We are looking for help to predict tomorrow's stock returns.
>>>
>>> The challenge is model selection in the presence of noisy data. The
>>> tools are ubuntu, python, cython, c, numpy, scipy, la, bottleneck,
>>> git.
>>>
>>> A quantitative background and experience or interest in model
>>> selection, machine learning, and software development are a plus.
>>>
>>> This is a full time position in Berkeley, California, two blocks from
>>> UC Berkeley.
>>>
>>> If you are interested send a CV or similar (or questions) to
>>> '.'.join(['htiek','scitylanayelekreb at namdoog','moc'][::-1])[::-1]
>>
>> No interest (it's slightly out of my commuting range) nor questions, but
>> this is by far the best email address obfuscation I have seen so far :-)
>
> Ha. I also thought about using:
>
>>> x = [c for c in x]
>>> rs = np.random.RandomState([1,2,3])
>>> rs.shuffle(x)
>>> ''.join(x)
> 'oauoeyphjlot.nrdmorb at oerrg'
>
> Would that have cut down on the number of resumes? Not from this list.
> Give it a try.

rs = np.random.RandomState([1,2,3])
xs = 'oauoeyphjlot.nrdmorb at oerrg'
xs = [c for c in xs]
x = np.asarray(xs)
i = range(len(xs))
rs.shuffle(i)
x[i] = xs
print ''.join(x)

sorry it took so long, cooking lasagna in the meantime... :-)

VS.