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Add Rust and Julia to preCICE bindings list (#616)
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content/docs/fundamentals/fundamentals-overview.md

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preCICE stands for Precise Code Interaction Coupling Environment. Its main component is a library that can be used for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations. Partitioned (as opposite to monolithic) means that preCICE couples existing programs (solvers) which simulate a subpart of the complete physics involved in a simulation. This allows for the high flexibility that is needed to keep a decent time-to-solution for complex multi-physics scenarios, reusing existing components. preCICE runs efficiently on a wide spectrum of systems, from low-end laptops up to complete compute clusters and has [proven scalability](fundamentals-literature-guide.html#high-performance-computing) on 10000s of MPI Ranks.
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The preCICE library offers parallel communication means, data mapping schemes, and methods for transient equation coupling. Additionally, we are actively developing methods for time interpolation and more features (see our [roadmap](fundamentals-roadmap.html)). preCICE is written in C++ and offers additional bindings for C, Fortran, Python, and Matlab.
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The preCICE library offers parallel communication means, data mapping schemes, and methods for transient equation coupling. Additionally, we are actively developing methods for time interpolation and more features (see our [roadmap](fundamentals-roadmap.html)). preCICE is written in C++ and offers [additional bindings](couple-your-code-api.html#bindings) for C, Fortran, Python, Rust, Julia and Matlab.
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Coupling your own solver is very easy, due to the minimally-invasive approach of preCICE.
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Once you add the (very few) calls to the preCICE library in your code, you can couple
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it with any other code at runtime. For well-known solvers such as OpenFOAM, deal.II, FEniCS, Nutils, CalculiX, or SU2, you can use one of our official adapters.

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