In this paper we describe a Python- and Tkinter-based visual-programming environment called ViPEr. This tool enables non-programmers to build computational and visualization networks interactively. Computational nodes can be placed onto a canvas and their input and output ports can be connected using the mouse. The connections between the nodes define a directed graph that will be used to propagate data and trigger the execution of nodes that have new input data. ViPEr is, in appearance, similar to programs such as AVS [Upson et al. 89] from Advanced Visual Simulations Inc, or OpenDX [DX 93] from IBM, but presents some fundamental differences which will be pointed out throughout this paper. Several examples of applications will be used to illustrate ViPEr’s design and current range of capabilities.
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In the late 1990’s many ERP companies caught the web browser wave, undertaking projects to leverage the Internet and browser technology and even to convert their software to “lite-client” or web “portal” architectures. Unfortunately for some, .NET came on the scene too soon after this major overhaul. When .NET appeared, some were too technically exhausted, or inflexible, or still basking in the glow of their new “Internet-based architectures” to recognize and embrace .NET. Other ERP software companies were and continue to be simply too busy struggling to stay solvent during the devastating one-two-three punch of Y2K, the recession of 2000, and 9/11. They lack the resources to consider the complete restructuring of their products that .NET warrants.
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How is it different from building an application using visual studio for dot net or any visual java development tool?
The basic difference is the amount of programming that needs to be done is significantly reduced. Reasonably complex applications ERP, CRM, HMS, HCMS, etc can be built without writing programs in any programming language. However, fundamental database and SQL (select statements)
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The Flexible Image Transport System (FITS) is a powerful and widely adopted means of exchanging Astronomical Data. There are also a great number of tools and libraries available on many platforms to facilitate working with FITS. We present the FitsLib 1, A library written to facilitate development of astronomical data analysis tools on the Microsoft.Net Platform. This has been developed as a wrapper over one of the very popular and time tested FITS libraries, CFITSIO. Fits.Net library merges the advantages of speed and ruggedness of CFITSIO with the language independence of the Microsoft.Net technology and a simple Document Object Model (DOM). We believe this library will be intuitive for .NET programmers. We present the design and usage patterns of the library in C-Sharp. We also discuss performance issues of the library. Finally we present a number of applications and web services, which are currently running on this library.
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Google Earth is a popular and widely used geographical browser. It is a standalone application that enables spatial data from a variety of sources to be displayed, explored and visually compared. Google Earth has the following important characteristics:
• Free
• Easy-to-use and intuitive user interface. Data are displayed on an interactive globe that can be rotated and zoomed to visually explore data in different regions of the world and at different spatial resolutions.
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Yahoo! is taking the lead role in enabling the global mobile ecosystem to bring compelling mobile Internet experiences to consumers. Yahoo! delivers its services throughout the world from its own network as well as through partnerships with mobile operators and device manufacturers around the world. Yahoo! recently opened up the company’s mobile platform to allow the world’s developers and publishers to mobilize their own offerings.
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Jetspeed j2o Desktop is a Web 2.0 solution for portlets. Combining server-side Jetspeed Ajax services with client-side services, j2o is a paradigm shift in the way portlets are viewed and aggregated. The key change here is that Jetspeed 2.0 is a servlet-centric application: every request goes back to the server. The user interfaces experience is driven by HTTP page paradigm.
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MAPSTER has been designed to provide easy and intuitive access to fish and fish habitat information for a widely dispersed and diverse group of individuals. With the release of version 2.0, there have been many changes in the appearance and functionality of MAPSTER. To help new or returning users, this tutorial has been prepared to review the application’s tools and features.
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