On 7/30/2011 7:13 AM, ray wrote:
I am new to Python and am learning for engineering and scientific
use. For some reason, which I don’t remember, I went to Scipy.org
downloaded the module. I am sure it had explained things but that was
a couple weeks ago and it’s all a blur. So now I am working in
Pythonxy. One of my activities is to work with data from Excel. I
found the cvs reader and started researching its use. I found that
structured data could be presented in Python using a module in
wxPython.
Where am I? I do not know the relationships between the Pythons. I
feel that I am missing something. I started with Python as it has so
much functionality and a huge user group of very helpful individuals
and sites. Now that I have delved deeper, it seems I need different
Pythons.
I would like to understand how to use all this functionality,
logistically. If I have a series of tasks to perform, do I open a
session in one, read in data from a source, manipulate it, write it
out, open another Python type, read in the manipulated data, perform
other actions, write it out, close that and then open another to
display? Is there a more coherent way to do this?
I would appreciate any help in better understanding how to use all
these tools.
'Python' is a language with multiple versions. Python2.x is the older
series, but still in use Python3.x is the newer series of versions.
Pythonx.y is a particular version.
CPython is the main *implementation* of Python. It comes with a standard
library of modules that you can import. Other people provide other
modules and packages of modules that you can import.
Numpy is a package for numerical computation with multi-dimensional
arrays. Scipy is a package for scientific computation that uses numpy.
There are several packages for adding a graphical user interface to a
program. WxPython is one of those. It is the Python wrapper for the
wxwidgets library. It is not a 'python' in itself.
Terry
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