Re: Python in financial services
wxjmfa...@gmail.com wrote: I recommend to toy intensively with the 'EURO SIGN' in strings manipulations. Py3: It may luckily work, Python may crash or fails (it raises unicode errors on valid string!). Py2: It is safer and solid. There is however a subtility. 3rd party tools may consider the Euro as byte or as unicode and/or are missinterpreting it, leading to a huge missmatch. Example: IDLE print 'EURO' * 10 EURO EURO EURO EURO EURO EURO EURO EURO EURO EURO print u'EURO' * 10 # result: nothing! What version of Python do you use ? With IDLE: Python 3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2] on linux Type copyright, credits or license() for more information. print(€*10) €€ With IDLE and Python 2.7, there seem to be an encoding problem: s = u€*10 import sys sys.stdout.encoding 'utf-8' print s.encode(utf-8) â¬â¬â¬â¬â¬â¬â¬â¬â¬â¬ print s.encode(latin1) €€ But with python2 on console, it works nicely: laurent@litchi:~$ python Python 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2] on linux2 Type help, copyright, credits or license for more information. s = u'€' s*10 u'\u20ac\u20ac\u20ac\u20ac\u20ac\u20ac\u20ac\u20ac\u20ac\u20ac' print s*10 €€ This is not specific to the Euro. I let as an exercise to *understand* which chars are suffering from this issue. (Py2 and Py3) jmf PS Go, Ruby, C#, TeX (unicode engines): never meet a problem. -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On 8/19/2014 12:35 PM, Laurent Pointal wrote: wxjmfa...@gmail.com wrote: Py3: It may luckily work, Python may crash or fails (it raises unicode errors on valid string!). Py2: It is safer and solid. The truth is that 2.7 has many unicode bugs that have been fixed in in various 3.x releases. Please ignore jmf's disinformation campaign. -- Terry Jan Reedy -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On 19/08/2014 22:59, Terry Reedy wrote: On 8/19/2014 12:35 PM, Laurent Pointal wrote: wxjmfa...@gmail.com wrote: Py3: It may luckily work, Python may crash or fails (it raises unicode errors on valid string!). Py2: It is safer and solid. The truth is that 2.7 has many unicode bugs that have been fixed in in various 3.x releases. Please ignore jmf's disinformation campaign. I don't believe that a single bug report has been raised by jmf during this two year long disinformation campaign. Can somebody please confirm that I'm correct or provide references if I'm wrong. -- My fellow Pythonistas, ask not what our language can do for you, ask what you can do for our language. Mark Lawrence -- https://mail.python.org/mailman/listinfo/python-list
Python in financial services
Ive been asked to formulate a python course for financial services folk. If I actually knew about the subject, I'd have fatter pockets! Anyway heres some thoughts. What I am missing out? [Apart from basic python -- contents typically needs tailoring to the audience] the following: - Libraries -- Decimal? - scripts -- philosophy and infrastructure eg argparse, os.path - Pandas - Numpy Scipy (which? how much?) - ipython + matplotlib + ?? - Database interfacing - Excel interfacing (couple of libraries.. which?) - C(C++?) interfacing paradigms -- ranging from ctypes, cython to classic lo-level -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
Rustom Mody rustompm...@gmail.com writes: Ive been asked to formulate a python course for financial services folk. If I actually knew about the subject, I'd have fatter pockets! Anyway heres some thoughts. What I am missing out? Good luck! It's a pretty broad field, so everyone probably has different needs. - Libraries -- Decimal? I've never seen decimal used, even though it makes sense for accounting-style finance. I've mostly been looking at forecasts, trading, and risk, where floats are fine. So maybe mention that it exists, so people know where to look if they need it, but don't stress it. - scripts -- philosophy and infrastructure eg argparse, os.path Basic argparse is very handy, but, again, I wouldn't spend too much time on it. - Pandas - Numpy Scipy (which? how much?) For me, pandas is huge, numpy is a nice fundamental substrate, while only bits and pieces of scipy are used (mostly optimization). statsmodels may also be worth a mention, as the answer to how do I do a regression. - ipython + matplotlib + ?? Ipython notebook + matplotlib is great. At least show that it exists. pandas plots may be enough, though. - Database interfacing Definitely mention. - Excel interfacing (couple of libraries.. which?) Meh, maybe. At least give a strategy. It always seems like a fool's errand, though: I end up just dumping data to CSV and using that. - C(C++?) interfacing paradigms -- ranging from ctypes, cython to classic lo-level Probably not, but it depends on the audience. The overview, like ctypes will link to C-like libraries, cython lets you write python-like code that runs fast, and there's SWIG and Boost.Python if you want to write your own modules is about all you need. Hope that helps, Johann -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On Tue, 12 Aug 2014 00:33:11 -0700, Rustom Mody wrote: Ive been asked to formulate a python course for financial services folk. I wouldn't worry too much about c or c++ interfacing paradigms. -- Denis McMahon, denismfmcma...@gmail.com -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On Tuesday, August 12, 2014 9:05:44 PM UTC+5:30, Johann Hibschman wrote: Rustom Mody writes: - Pandas - Numpy Scipy (which? how much?) For me, pandas is huge, numpy is a nice fundamental substrate, while only bits and pieces of scipy are used (mostly optimization). statsmodels may also be worth a mention, as the answer to how do I do a regression. statsmodels seems like something useful -- thanks for the pointer -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On Tuesday, August 12, 2014 9:20:16 PM UTC+5:30, Denis McMahon wrote: On Tue, 12 Aug 2014 00:33:11 -0700, Rustom Mody wrote: Ive been asked to formulate a python course for financial services folk. I wouldn't worry too much about c or c++ interfacing paradigms. And I dont like teaching that stuff either :-) [especially on windows!] However those folks have thousands of lines of C/C++ which they are porting to python. So... Thanks anyway -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On Tue, 12 Aug 2014 10:48:14 -0700, Rustom Mody wrote: However those folks have thousands of lines of C/C++ which they are porting to python. That begs the question: Why? Seriously, I'd like to know what benefits they expect to achieve by doing so. -- Denis McMahon, denismfmcma...@gmail.com -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On Wednesday, August 13, 2014 12:24:12 AM UTC+5:30, Denis McMahon wrote: On Tue, 12 Aug 2014 10:48:14 -0700, Rustom Mody wrote: However those folks have thousands of lines of C/C++ which they are porting to python. That begs the question: Why? Seriously, I'd like to know what benefits they expect to achieve by doing so. Heh! I asked more or less that. Was told: We want it! I gather its to do with agility -- faster time to incorporate and integrate new logic into code etc. -- https://mail.python.org/mailman/listinfo/python-list
Re: Python in financial services
On Tue, Aug 12, 2014 at 3:33 AM, Rustom Mody rustompm...@gmail.com wrote: Ive been asked to formulate a python course for financial services folk. If I actually knew about the subject, I'd have fatter pockets! Anyway heres some thoughts. What I am missing out? [Apart from basic python -- contents typically needs tailoring to the audience] the following: - Libraries -- Decimal? - scripts -- philosophy and infrastructure eg argparse, os.path - Pandas - Numpy Scipy (which? how much?) - ipython + matplotlib + ?? - Database interfacing - Excel interfacing (couple of libraries.. which?) - C(C++?) interfacing paradigms -- ranging from ctypes, cython to classic lo-level I'm not 100% sure what you're looking for. I work for a hedge fund and we make extensive use of python. Everything from soup to nuts: ETL, web scraping, database access (sybase, MySQL, and Oracle), log file archiving and reaping, wrappers for backups, startup and shutdown scripts for our C++ servers, GIUs (with wxpython), socket based communication with C++ servers, just about every problem that comes up. -- https://mail.python.org/mailman/listinfo/python-list
