On Fri, Aug 21, 2009 at 3:10 PM, Dokuro<[email protected]> wrote: > miren lo que se esta haciendo desde la comunidad de SciPY y Numpy > > > ---------- Forwarded message ---------- > From: Pauli Virtanen <[email protected]> > Date: Sat, Aug 22, 2009 at 3:00 PM > Subject: [SciPy-dev] NumPy User Guide table of contents > To: [email protected] > > > 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 <http://numpy.scipy.org/numpydoc/numdoc.htm>`__ > - `Guide to Numpy <http://www.tramy.us/>`__ > > 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 > <insert our current "reference manual" here as-is and factor out > 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 ,''`. : :' : `. `' `- _______________________________________________ GUPy mailing list [email protected] http://proyectociencia.org/cgi-bin/mailman/listinfo/gupy
