PUBLIC MARKS with search bindings(sexology)

The Wolfram|Alpha API gives you access to the Wolfram|Alpha platform at all levels—from individual results to complete Wolfram|Alpha output pages. The API operates as a high-performance REST-style webservice, with convenient bindings for all popular languages and platforms.

This is a command line tool that trims your source code tree. It removes debug files, source control bindings, and temporary files.

Declarative UI is a way of making fluid user interfaces by describing them in terms of simple elements (Text, Image, Rect,and other QObjects) that are built up into components. The reason it is “declarative” is that rather than the changes in the UI being expressed as imperative code (”set this, set that, do this, do that, …”), they are instead expressed as sets of QObject property expressions (”this width is always half that width”), grouped into states (”when enabled, the properties are …, when disabled, they are …”).  The language that enables this is named QML.  QML is simple yet powerful. Most of a user interface is described by a simple tree structure of property bindings:

5. Provider<Foo>: you say that the injector must throw an exception at run time, but Guice actually fails at initialization time (or build time if you validate your modules there). Nothing in the spec prevents you from injecting additional types like ServiceReference and Iterable; Guice actually supports injecting collections of bindings via multibindings as an optional feature.

Quand Bob Lee défend @inject, il ne faut pas 2 minutes pour qu'il base sa réponse sur Guice 2 (pas Guice 1 évidemment, qui deviendra tabou comme l'ont été Maven 1 et Axis 1). C'est troublant de devoir défendre une spécification en se basant sur une de ses implémentations.

Windows Communication Foundation (henceforth abbreviated as WCF) supports multiple bindings that allows developers to expose their services in a variety of ways. What this means is a developer can create a service once and then expose it to support net.tcp:// or http:// and various versions of http:// (Soap1.1, Soap1.2, WS*, JSON, etc). This can be useful if a service crosses boundaries between intranet and extranet applications for example. This article walks through the steps to configure a service to support multiple bindings with Visual Studio 2008 and the .Net 3.5 framework. For those that want to jump directly to the sample solution it can be found at the end of this article.

Xapian is an Open Source Search Engine Library, released under the GPL. It's written in C , with bindings to allow use from Perl, Python, PHP, Java, Tcl, C# and Ruby (so far!)

alsaseq is a Python module that allows to interact with ALSA sequencer clients. It can create an ALSA client, connect to other clients, send and receive ALSA events immediately or at a scheduled time using a sequencer queue. It provides a subset of the ALSA sequencer capabilities in a simplified model. It is implemented in C language and licensed under the Gnu GPL license version 2 or later. Current version is 0.2.1, released on December 5th, 2007.

Simple DirectMedia Layer is a cross-platform multimedia library designed to provide low level access to audio, keyboard, mouse, joystick, 3D hardware via OpenGL, and 2D video framebuffer. It is used by MPEG playback software, emulators, and many popular games, including the award winning Linux port of "Civilization: Call To Power." SDL supports Linux, Windows, Windows CE, BeOS, MacOS, Mac OS X, FreeBSD, NetBSD, OpenBSD, BSD/OS, Solaris, IRIX, and QNX. The code contains support for AmigaOS, Dreamcast, Atari, AIX, OSF/Tru64, RISC OS, SymbianOS, and OS/2, but these are not officially supported. SDL is written in C, but works with C natively, and has bindings to several other languages, including Ada, C#, D, Eiffel, Erlang, Euphoria, Guile, Haskell, Java, Lisp, Lua, ML, Objective C, Pascal, Perl, PHP, Pike, Pliant, Python, Ruby, Smalltalk, and Tcl. SDL is distributed under GNU LGPL version 2. This license allows you to use SDL freely in commercial programs as long as you link with the dynamic library.

unoconv converts between any document format that OpenOffice understands. It uses OpenOffice's UNO bindings for non-interactive conversion of documents. Supported document formats include Open Document Format (.odt), MS Word (.doc), MS Office Open/MS OOXML (.xml), Portable Document Format (.pdf), HTML, XHTML, RTF, Docbook (.xml), and more.

unoconv converts between any document format that OpenOffice understands. It uses OpenOffice's UNO bindings for non-interactive conversion of documents. Supported document formats include Open Document Format (.odt), MS Word (.doc), MS Office Open/MS OOXML (.xml), Portable Document Format (.pdf), HTML, XHTML, RTF, Docbook (.xml), and more.

given that you installed the package liblinux-inotify2-perl, you can quite simply get notifications in PERL. Here's how ^_^ nb: bindings also exists for python and ruby, and inotify-tools package provide watch & wait commands suitable for shell-scripters.

SvnX is an open source GUI for most features of the svn client binary. It allows you to browse your working copies, spot changes and operate on them but also to browse logs and revisions of your repositories ! It's written using Panther's new bindings mechanism for maximum flexibility and user experience.

The Net-SNMP library now has Python bindings, and it is an excellent choice to write custom code to manage a data center or supplement full-blown Network Management Systems. In this article, learn how to use Net-SNMP, Python, and the IPython shell to interactively explore and manage a network.

Panda3D is a 3D engine: a library of subroutines for 3D rendering and game development. The library is C++ with a set of Python bindings. Game development with Panda3D usually consists of writing a Python program that controls the Panda3D library.

PyQt is a set of Python bindings for Trolltech's Qt application framework and runs on all platforms supported by Qt including Windows, MacOS/X and Linux. There are two sets of bindings: PyQt v4 supports Qt v4; and the older PyQt v3 supports Qt v3 and earl

Late Static Binding (LSB, yes, not LSD) is an OO feature that is meant to be implemented in PHP 6, and maybe even backported to PHP 5. This article will describe what LSB is, what problems it's supposed to solve and how.

A few years ago I «fell in love» with Python , which is a dynamically typed interactive, object oriented scripting language. With a few extensions I found it very suitable for efficient visualization and problem solving in Scientific computing. So can it replace Matlab? For me its pretty close! For you? It depends on your needs, but have a look! Why I use Python * Python is a small, high level scripting language that sits on top of a efficient C library. Because of this, Python code is compact, and the resulting code can run at a speed close to C if the computationally intensive parts are done via library calls. * Short learning curve - I was almost instantly productive. * Python can be used interactively (like matlab), and documentation for most functions can be accessed via a built in help facility. * It is free (also in this regard) * The syntax invites you to write clean code. No ;'s at the end of lines, the block structure is described by indentation instead of Begin-End or {..}. Through the Numeric/numarray modules one gets powerful array syntax - inspired by languages such as Fortran 90, Matlab, Octave, Yorick etc. Python itself has also borrowed features from e.g. Lisp, with its interactivity and built in support for list manipulation. * Python has many other useful modules built in, one may for instance write a web server in just a few lines of code or work transparently with gzipped files (handy for analyzing large ascii data files) * Linking in and reusing Fortran subroutines is very easy using e.g. f2py mentioned below, or the Pyfort module found on www.python.org. Integration with C is of course even tighter since the most popular python is written in C. (yes. there is a java python...) * It is possible to work in single precision, which is sufficient for most scientific purposes. This makes it easier to work with large datasets/arrays using only half the memory compared to e.g. matlab. As my basic setup I use Python with the following extensions: Numpy: a.k.a. Numeric python, contain the advanced array syntax, as well as powerful and commonly used functions that can be applied to the multi dimensional arrays. Pygist: Gist is a very fast graphics library for 2D and 3D plots written directly for X11, but also ported to Mac and Windows. Gist is a part of the Yorick language. Pygist contain the Python bindings, read about it here. A recent version of Pygist can be found here. Pygist is currently also a part of a distribution of Python packages called Scipy, that can be found here. f2py: Makes connecting Fortran subroutines a breeze! Also a part of Scipy. A complete example: wrap this subroutine in a Python function returning "dist": [avle@tindved test]$ cat r1.f90 subroutine r1(x,y,n,dist) real x(n),y(n) !f2py intent(out) dist xl=0.0 ; yl=0.0 ; vp=0.0 do i=1,n xl=xl + x(i)**2 ; yl=yl + y(i)**2 vp=vp + x(i)*y(i) end do if(vp>=0.0)then dist = acos(sqrt(vp/(xl*yl))) else dist = 4*atan(1.0)-acos(sqrt(-vp/(xl*yl))) end if end subroutine r1 [avle@tindved test]$ ls r1.f90 [avle@tindved test]$ f2py -c -m r1 --fcompiler=g95 r1.f90 ..lots of output... [avle@tindved test]$ ls r1.f90 r1.so* [avle@tindved test]$ python2 Python 2.2.3 (#1, Feb 15 2005, 02:41:06) [GCC 3.2.3 20030502 (Red Hat Linux 3.2.3-49)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import Numeric as nx, r1 >>> a=nx.array((2.3,2.2)) ; b=nx.array((3.2,2.1)) >>> r1.r1(a,b) 1.2827057838439941 >>>

PyQwt is a set of Python bindings for the Qwt C++ class library which extends the Qt framework with widgets for scientific and engineering applications. It provides a widget to plot 2-dimensional data and various widgets to display and control bounded or

Xapian is an Open Source Search Engine Library, released under the GPL. It's written in C , with bindings to allow use from Perl, Python, PHP, Java, Tcl, C#, and Ruby (so far!)

From these two SCDL documents, you can see that all the components are implemented in Python (as specified by the implementation.python elements) and the composite services are exposed using the REST binding. These choices are not mandated by the SCA runtime; any of the components could be implemented in any of the languages supported by the runtime, which currently includes C , Python, Ruby, and PHP for the Tuscany Native runtime. For instance, the sample includes a Ruby implementation of the POPChecker component that could be swapped in to replace the Python implementation. Equally, the choice of bindings used to expose a composite as a service can be easily changed, simply by altering the SCDL. For example, the Alerter Composite could also be exposed as a SOAP Web Service.

Webservice stack that supports XMLbean, castor, JiXB and jaxb data bindings.

This is a project to build reliable .NET bindings for the Subversion version-control system libraries.