Thank you very much for the tips I hope we will be in touch in the futire jeovanny
2018-02-23 5:48 GMT-05:00, Steven D'Aprano <st...@pearwood.info>: > Hello, and see my comments below. > > On Thu, Feb 22, 2018 at 10:34:53PM -0500, gonzales huerta wrote: >> SIRS >> I am an absolute beginner in PYTHON so I would like to ask your >> advice regarding the appropriate compilers. >> What would be the best compiler for a beginner? > > Python is normally described as using an interpreter. > > (Technically it has a compiler, but it is a byte-code compiler, it > doesn't generate machine code.) > > Stick to the standard Python 3 interpreter unless you need to run Java > libraries or run under .Net, > > >> What would be the best compiler for writing a combined code PYTHON and C? > > There's no such thing as a combined Python and C compiler, although > Cython comes close. But I would say Cython is probably not for > beginners, if you don't know Python, you'll struggle with Cython. > > >> 3)I need PYTHON for the following purposes: >> A)EMBEDDED SYSTEM PROGRAMMING >> B)SCIENTIFIC PROGRAMMING >> C)IMAGE AND VIDEO PROCESSING >> D)DATA VISUALIZATION >> E)REAL TIME GUI >> F)DESIGNING PC BASED MEASURING SYSTEMS (like pc dso,logic analyzer,ect) >> Please let me know what kind of PYTHON libraries would the most >> adequate for these tasks and where it would be possible to download >> them and if possibe direct me to the corresponding PYTHON literature > > Do you know how to use a search engine? > > https://duckduckgo.com/html/?q=scientific%20python%20ide > > For embedded programming, you will probably want to use MicroPython > instead of the regular Python interpreter. > > You could try a commercial IDE like Enthought Canopy, PyCharm, > ActiveState's Python (I think this one is called Anaconda?), or the Wing > Python IDE. > > https://wingware.com/ > > A free alternative is Spyder, although this is the only one I've > actually used and I found it to be unusably slow on my computer. > > Another alternative is iPython, which lets you write notebooks rather > like Mathematica. > > It is not helpful to ask what libraries you should use when we don't > know what you will be doing, but in general, the most common third-party > libraries for scientific programming include: > > numpy > scipy > pandas > matplotlib > > > and probably a thousand others. > > > > -- > Steve > _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor