The treasury places internal fraud detection and money-laundering detection responsibilities on financial organisations (hence your bank asking you three items proving your identify and then refusing to open an account when you only have two).
Part of the justification for this anti money laundering regulation is terrorism prevention. I get the impression much of this "terrorist funding" may have historically taken the form of wealthy individuals making large charitable donations to slightly dubious charitable organisations. Thinks things like https://en.wikipedia.org/wiki/NORAID and the IRA. My understanding is that python/numpy/pandas is a common choice for this type of activity due to: i. It being batch processing / offline, hence reduced performance requirements ii. High productivity of python for ad-hoc queries On 15 Feb 2017 8:53 p.m., "Andy Robinson" <a...@reportlab.com> wrote: > Not entirely sure where the "counter terrorism" bit comes in.... > > - Andy > > _______________________________________________ > python-uk mailing list > python-uk@python.org > https://mail.python.org/mailman/listinfo/python-uk > >
_______________________________________________ python-uk mailing list python-uk@python.org https://mail.python.org/mailman/listinfo/python-uk
