Ball Simulation - Demonstrative sample written in f# based on the book: Friendly F # (Fun with game programming) illustrates
how f# is very convenient and easy to use to resolve scientific problems like in this sample where we simulate the
bounce of a ball on the ground.
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Funky Matrix Funky Matrix - Developed by Taras Banakh
Mobile version of Funky Matrix allows limited capabilities in:
1. Create and maintain detailed information about Functional Requirements to software projects
2. Automatically create a Functionality Matrix
3. Estimate the Developer Person Days/Weeks for a Development effort prior to Design phase on the project
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Developers Heaven Developers Heaven - The application is for helping developers working on different platforms at the same time. They can add categories and set a default key to search with. E.g. If the user is currently developing an app using Bing, then he can set 'Bing development' as the key to attach. If he is often searching for pushpins he can add 'pushpins' to category
VS ShortCuts VS ShortCuts - Here is a handy reference that can make your .NET lifestyle easier and a lot more productive. This app is for the default keybindings in Visual Studio 2010 and Visual C#. Must have for all .NET developers
ScriptingAndAi ScriptingAndAi - Demonstrative sample written in f# based on the book: Friendly F # (Fun with game programming) illustrates
an artificial intelligence written entirely with a scripting language built into f#
Maze A classic maze written in f #, we use to simulate the physics jiglibx. Book:Friendly F# (Fun with game programming)
Rocket Simulation Rocket Simulation - Demonstration example written in f # based on the book: friendly F # (fun with game programming)
illustrates how through this language you can describe physical behaviors (in our case a rocket launched through the Moon direction is subject to various forces like moons and earth mass etc
Asteroids Simulation Asteroids Simulation - Demonstrative sample written in f# based on the book: Friendly F # (Fun with game programming) illustrates how
often a good problem definition must use specific algorithms to emprove the application performances
like in this sample where we used a space partition algorithm