Hi, I am pleased to release PySPH version 1.0a3. PySPH is an open source (BSD licensed) framework for Smoothed Particle Hydrodynamics (SPH) simulations. It is implemented in Python and the performance critical parts are implemented in Cython. A wide variety of SPH formulations are available and new ones can be easily added. PySPH allows users to write their high-level code in pure Python. This Python code is automatically converted to high-performance Cython which is compiled and executed. PySPH can also be configured to work seamlessly with OpenMP and MPI. Documentation: http://pysph.readthedocs.org Download: http://pypi.python.org/pypi/PySPH/ Development: http://pysph.bitbucket.org Changelog: http://pythonhosted.org/PySPH/overview.html#changelog Quick changelog --------------- - Improve the Application class to make it very easy to do a variety of things including user-defined command line arguments, adding new tools and pre/post-step callbacks. - Add a convenient pysph script to run examples, run tests and view the results. - Bundle all examples with the installation so ``pip install PySPH`` is all you need to run the examples and use the library. - Use a platform and Python specific directory to store auto-generated code. - Silence distracting compiler warnings and only show them when an error occurs. For more details see the detailed changelog here: http://pythonhosted.org/PySPH/overview.html#changelog Installation ------------ Please see the documentation above for detailed instructions. You should be able to: $ pip install pysph If you need to run the tests you can run ``pip install pysph[test]`` to automatically fetch the additional dependencies (nose and mock). To use the viewer you will need mayavi installed. ``pip install pysph[all]`` should fetch all the dependencies. Features -------- - Flexibility to define arbitrary SPH equations in pure Python - Define your own multi-step integrators in pure Python - High-performance: our performance is comparable to hand-written solvers implemented in low-level languages - Seamless multi-core support with OpenMP - Seamless MPI support using: http://www.cs.sandia.gov/zoltan/ PySPH supports a variety of SPH formulations including: - Weakly compressible SPH - Transport Velocity Formulation - SPH for elastic dynamics - Compressible flows cheers, Prabhu Ramachandran Department of Aerospace Engineering, IIT Bombay http://www.aero.iitb.ac.in/~prabhu