[Tutor] startin python

[gonzales huerta]

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 <steve at 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
>