Hey,
Interesting to hear that, thanks Micaheal.
Can I ask you to clarify one thing you mentioned? My understanding was
that speed of numerical modelling was only of such vital import if you
are doing low-latency automated trading, in the sort of scenario where
you need to be on a box placed on a LAN in proximity to the trading
server, in order to make sub-millisecond trades. On the other hand, if
you're running across the internet, then any slowdown due to using
Python verses another language would be vastly swamped by network and
other IO delays. Am I very much mistaken?
Thanks for sharing the benefit of your experience.
Jonathan
On 15/12/2010 12:45, Michael Grazebrook wrote:
I work in the financial sector. Python is definately increasing.
Some systems are being written in Python, but that's not its main use.
Certainly not for calculations and financial models, where they
normally have to be very fast.
It's popular as a repacement for Perl, for example in batch
automation. I've also used it for reporting: its excellent ability to
interface to libraries means you can drive Excel (or most things .Net)
from Python. I even used it to link to Bloomberg once, creating a
framework to get the data to test some finanical models.
Report Lab does a fair bit of work in the financial sector in a rather
different field.
Little in the web field in Finance: maybe that's just my persoanl
experience.
On 15/12/2010 11:57, Matt Hamilton wrote:
We've also seen it (as a python web dev company) increase quite a bit
in the web field. Another big area I keep seeing python jobs
advertised are in the financial services industry. Just as engineers
used fortran and business people used cobol, I think financial
services are using python for a good language to write
calculations/simulations of financial models.
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