From muammar en proyectociencia.org Mon Sep 7 18:16:24 2009 From: muammar en proyectociencia.org (Muammar El Khatib) Date: Mon, 7 Sep 2009 11:46:24 -0430 Subject: [GUPy] Fwd: [SciPy-dev] NumPy User Guide table of contents In-Reply-To: References: <63751c30908211135x182b6e7q4d6e02a96035ac87@mail.gmail.com> Message-ID: <77aff34b0909070916i69631d66o210a13db742984b3@mail.gmail.com> On Fri, Aug 21, 2009 at 3:10 PM, Dokuro wrote: > miren lo que se esta haciendo desde la comunidad de SciPY y Numpy > > > ---------- Forwarded message ---------- > From: Pauli Virtanen > Date: Sat, Aug 22, 2009 at 3:00 PM > Subject: [SciPy-dev] NumPy User Guide table of contents > To: scipy-dev en scipy.org > > > Hi all, > > It's great to see that people are interested in contributing > narrative documentation to Numpy! I think this effort will be > accelerated much if we have a table of contents for the final > manual we want, to guide the writing. > > One suggestion is listed below. It's also on this wiki page: > >        http://scipy.org/Developer_Zone/UG_Toc > > It's not complete or final, but should already serve at least > as a starting point. I think it would be best if we agreed on > this first, fleshing out what should go where, and what each > chapter should contain, before spending too much time on > writing actual content. > > So, please chip in: look at the suggestion below, and criticize > it and fill in additions and ideas. > > Cheers, > Pauli > >    *** > > ************ > Numpy Manual > ************ > > The aim here is to write narrative documentation that illustrates how > Numpy is best used in practice, demonstrating various features it > offers, with examples and enlightened discussion. > > Below, a draft for the table of contents is listed. It is formed by > looking at > > - `Numeric manual `__ > - `Guide to Numpy `__ > > and stealing whatever seemed good to include. It's a rough draft, and > probably needs tuning at various points. Also, I'm aware not all of > Numpy is there now, so additions should also be made. > > > #. Introduction to Numpy >   #. What it is >   #. What is there: a very high-level overview >   #. Conventions in this manual > #. Installing Numpy >   #. Instructions for getting binaries >   #. Instructions for building from source, on different platforms > #. Basics of arrays >  #. What is an array >  #. Storing data in arrays >     #. Arrays as literals >     #. Creating arrays: empty, zeros, ones, ... >     #. Saving/loading to a file: text, npz  -> point to other IO routines >  #. Extracting data from arrays >     #. Basic indexing and slicing >     #. Simple fancy indexing >     #. Finding items in arrays >        #. comparisons, logic operations, indexing based on them >        #. where, searchsorted >     #. Advanced indexing on arrays: ellipsis, newaxis >  #. Views and copies of arrays >     #. Demonstrate that slicing in general creates views >  #. Modifying contents of arrays >     #. Setting data in arrays via indexing >     #. add, multiply subtract >     #. in-place operations (+ the common indexing caveat!) >     #. sum, mean, min, max, ... >     #. remark on ufuncs: common methods >     #. Operating on an axis of an array >  #. Broadcasting >  #. Joining, splitting arrays and changing their shape >     #. *stack, *split >     #. reshape >     #. resize >  #. Working with different types of data: integers, floats, complex, strings... >     #. Basic creation of arrays with certain data types >     #. Building up data type objects >     #. Casting and converting array data, automatic casting, coercion >  #. Advanced data types and structured arrays >     #. Creating structured arrays >     #. Defining them: literals, loading from files >     #. Accessing data in them > #. Other topics >   #. Working with missing data >      #. NaNs as masking >      #. Masked arrays >   #. Linear algebra and matrices >   #. Working with polynomials >   #. Floating point issues: errors, error handling, inaccuracy, etc. >   #. Fourier transforms >   #. Generating random numbers >   #. Building and testing packages using Numpy >   #. Financial calculations with Numpy > #. Extending Numpy >   #. Subclassing numpy arrays >   #. Array interface >   #. Ctypes support in Numpy >   #. Cython? Pyrex? F2Py? >   #. Writing C extensions using Numpy >      #. Basics >      #. Iteration >      #. Ufuncs >      #. Data types >      #. Subclassing in C > #. Numpy internals >   #. Memory model >   #. Data type stuff >   #. Ufuncs >   #. etc? > > #. Reference >     any duplication later on> > ¿Algún avance de parte de NumPy? Pregunto porque vi esto: http://www.nabble.com/documentation-translation-td24961372.html y por lo que veo ellos están de acuerdo con que procedamos. Saludos, -- Muammar El Khatib. Linux user: 403107. GPG Key = 127029F1 http://muammar.me | http://proyectociencia.org ,''`. : :' : `. `' `- From alvarez.ciencia en gmail.com Tue Sep 15 22:38:58 2009 From: alvarez.ciencia en gmail.com (Alejandro Alvarez) Date: Wed, 16 Sep 2009 16:08:58 +1930 Subject: [GUPy] Python para aplicaciones de Escritorio con PyQT Message-ID: Saludos, Acá les dejo un mini-manual de PyQt Espero les sea de utilidad. P.D. Lo subiré lo mas pronto posible a la página de GUPy Saludos, -- Alejandro J. Alvarez S. Linux Registered User #483871 http://scialvarez.blogspot.com http://www.proyectociencia.org +58-261-7141182 ------------ próxima parte ------------ Se ha borrado un adjunto en formato HTML... URL: ------------ próxima parte ------------ A non-text attachment was scrubbed... Name: PyQT_Desarrollando_Aplicaciones_de_Escritorio_ElCoDiGoK.pdf Type: application/pdf Size: 784721 bytes Desc: no disponible URL: From dario.soto en gmail.com Wed Sep 16 01:12:53 2009 From: dario.soto en gmail.com (Dokuro) Date: Wed, 16 Sep 2009 18:42:53 +1930 Subject: [GUPy] Python para aplicaciones de Escritorio con PyQT In-Reply-To: References: Message-ID: exelente! 2009/9/16 Alejandro Alvarez : > Saludos, > > Acá les dejo un mini-manual de PyQt > > Espero les sea de utilidad. > > P.D. Lo subiré lo mas pronto posible a la página de GUPy > > Saludos, > > -- > Alejandro J. Alvarez S. > Linux Registered User #483871 > http://scialvarez.blogspot.com > http://www.proyectociencia.org > +58-261-7141182 > > _______________________________________________ > GUPy mailing list > GUPy en proyectociencia.org > http://proyectociencia.org/cgi-bin/mailman/listinfo/gupy > >