Search Results for "google-visualization-python"
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Showing 7 open source projects for "google-visualization-python"
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gMol
gMol molecular graphics
We've moved to https://github.com/tjod/gMol/wiki gMol is an interactive visualization system used to display and manipulate 3-dimensional models of scientific data, such as molecular structures and surfaces. It contains both OpenGL and web browser widgets that enable flexible user interfaces. -
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Debian Unstable/testing alpha.
Pre-Alpha Console distro for high performance Linux computing.
...Final alpha release features: ======== * Usb image * General debian repos * VM optimizations * Hugepages by default * CGROUPs optimized by default * ALSA * Latest Debugging / Baremetal kernels * Full Haswell and MIC support in test * Full optimized python support * Full optimized perl support * Java compliance * IPv6 full stack with IPsets * Multipath storage * Overclocking tools * Student/Developer scripts. (git pull, builders) * i915 latest support drivers and gallium. * Kernel patching, testing featurettes * Wi-Fi and bluetooth ipv4 support * Latest GCC versions * Qt, Java, Maven, Desktop improvements Notes ==== Basic Console Pre-alpha build Test and rate for improvemen -
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Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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ProgPorts is an administrative and easy user interface to hundreds of proteomics, molecular dynamics, and protein crystallography programs. It is a hybrid of the prog/setup system, developed at Johns Hopkins University, and GNU-Darwin ports system.
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Framework for blockstructured adaptive finite volume methods. Provides MPI-parallelized variant of the Berger-Oliger AMR algorithm for Beowulf-clusters. Uses Clawpack. Visualization and conversion tools for HDF4 files included.
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The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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