PUBLIC MARKS with search x-curve

Apostrophe™ is a content management system designed for maximum flexibility with a minimal learning curve. The interface is ergonomic, all content-editing is performed in-context.

Open Flash Board is a free, open source whiteboard drawing application. OFB provides the ability to draw with various tools (curve, circle, line, rectangle), move the various drawn objects, group objects, scale objects and grouped objects and save as XML

Apple Stays Ahead of the Curve With iPhone 3.0 OS

C'est marrant, le contenu de l'article on dirait un mix de l'évolution de Palm OS entre 1998 et 2002. On va appeler ça l'avance dans le retard.

Less uses existing css syntax. This means you can migrate your current .css files to .less in seconds and there is virtually no learning curve. The best way to explain Less is to show you some code, so please go ahead and check out the examples below:

Gauges are easy, but RRD is clever enough to know how counters change over time. It then lets you graph these data points in interesting ways.

viewing the regular 24h curve, I would do a gaussian reduction to show the details.

Symfony is a web application framework for PHP5 projects. It aims to speed up the creation and maintenance of web applications, and to replace the repetitive coding tasks by power, control and pleasure. The very small number of prerequisites make symfony easy to install on any configuration; you just need Unix or Windows with a web server and PHP 5 installed. It is compatible with almost every database system. In addition, it has a very small overhead, so the benefits of the framework don't come at the cost of an increase of hosting costs. Using symfony is so natural and easy for people used to PHP and the design patterns of Internet applications that the learning curve is reduced to less than a day. The clean design and code readability will keep your delays short. Developers can apply agile development principles (such as DRY, KISS or the XP philosophy) and focus on applicative logic without losing time to write endless XML configuration files. Symfony is aimed at building robust applications in an enterprise context. This means that you have full control over the configuration: from the directory structure to the foreign libraries, almost everything can be customized. To match your enterprise's development guidelines, symfony is bundled with additional tools helping you to test, debug and document your project. Last but not least, by choosing symfony you get the benefits of an active open-source community. It is entirely free and published under the MIT license. Symfony is sponsored by Sensio, a French Web Agency well known for its innovative views on web development.

Yojimbo makes keeping all the small (or even large) bits of information that pour in every day organized and accessible. It’s so simple, there is no learning curve. Yojimbo’s mechanism for collecting, storing and finding information is so natural and

Groovy ... * is an agile and dynamic language for the Java Virtual Machine * builds upon the strengths of Java but has additional power features inspired by languages like Python, Ruby and Smalltalk * makes modern programming features available to Java developers with almost-zero learning curve * supports Domain Specific Languages and other compact syntax so your code becomes easy to read and maintain * makes writing shell and build scripts easy with its powerful processing primitives, OO abilities and an Ant DSL * increases developer productivity by reducing scaffolding code when developing web, GUI, database or console applications * simplifies testing by supporting unit testing and mocking out-of-the-box * seamlessly integrates with all existing Java objects and libraries * compiles straight to Java bytecode so you can use it anywhere you can use Java

The Musical Instrument Digital Interface (MIDI) protocol has been widely accepted and utilized by musicians and composers since its conception in 1983. MIDI data is a very efficient method of representing musical performance information, and this makes MIDI an attractive protocol not only for composers or performers, but also for computer applications which produce sound, such as multimedia presentations or computer games. However, the lack of standardization of synthesizer capabilities hindered applications developers and presented new MIDI users with a rather steep learning curve to overcome.

This is the central place for all of you hesitating which Linux distro or BSD flavor to pick. Fill out the distro chooser first, and then interactively compare the major GNU/Linux and BSD flavours to see what seems the best fit for you! If you have a laptop or older hardware you should take a look at those articles as well: * Linux on laptops - learn which distros are best supported on notebooks * Linux on older hardware - see which distros are a better choice for the older (but still functioning) machines The pain of choice Pic 1. Lots of distros… which is the best for me? Finally, if you just want to try Linux with minimal learning-curve, try one of the Live-CD distros, without damaging your Windows installation, straight from the CD! Whatever you choose, stay with GNU/Linux! It’s really worth using, so give it a try!

We're ready. In addition to multiplatform reach, ads need to dynamically target the right audience at the right time and place. With engaging ad units. And rich targeting parameters. BlackArrow is ahead of the advanced video-advertising curve, with a broadband and VOD-ready system that tackles the complexities of a new breed of ad-management for viewer-controlled video platforms.

A teacher's blog about strategies to help share ideas for teaching high school math concepts to students whose skills are still below grade level.

Groovy ... * is an agile and dynamic language for the Java Virtual Machine * builds upon the strengths of Java but has additional power features inspired by languages like Python, Ruby and Smalltalk * makes modern programming features available to Java developers with almost-zero learning curve * supports Domain Specific Languages and other compact syntax so your code becomes easy to read and maintain * makes writing shell and build scripts easy with its powerful processing primitives, OO abilities and an Ant DSL * increases developer productivity by reducing scaffolding code when developing web, GUI, database or console applications * simplifies testing by supporting unit testing and mocking out-of-the-box * seamlessly integrates with all existing Java objects and libraries * compiles straight to Java bytecode so you can use it anywhere you can use Java

Friendly is smaller and simpler on purpose. We call it a “short stack” framework, bringing much-needed structure and clarity to your code with an easy learning curve and no unnecessary hassle. It’s designed to work with a typical shared web server r

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 >>>

Professional, yet easy to use, home design from world-renowned Punch! Software. We've taken our bestselling, benchmark home design technology and developed it to the next level - for Macintosh users! Intuitive interface and simple tools for quick learning curve. Cutting-edge technology creates breathtaking 3D views with controllable sun angle and shadows. Unique PowerTools allow design and editing from within the program. Logically-presented toolsets keep your workspace clutter-free. Punch! PC files can be opened on the Mac!