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        "author": "Charles Poli",
        "author_email": "cpoli374@gmail.com",
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            "Programming Language :: Python :: 3.4",
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        "description": "Python module to build up and solve Tight-Binding models.\r\n\r\nTBEE is written in fully vectorized Numpy.\r\n\r\nTBEE is composed of the following classes:\r\n\r\n* lattice\r\n* system\r\n* plot\r\n* propagation\r\n* save\r\n\r\n\r\nTBEE main features:\r\n\r\n* Complex lattice structures.\r\n* Complex-valued onsite energies and hoppings.\r\n* Hermitian and non-Hermitian Tight-Binding Hamiltonians.\r\n* Sublattices.\r\n* Hoppings defined by their type, tags, and angles.\r\n* Any type of hoppings:\r\n\r\n    * Neighbors hoppings,\r\n    * Next-neighbors hoppings, \r\n    * Next-next-neighbors hoppings,\r\n    * etc..\r\n\r\n* Implementation of onsite energies and hopping patterns:\r\n\r\n   * Dimerization defects.\r\n   * Magnetic field.\r\n   * Strain.\r\n   * Hopping disorder.\r\n   * Onsite disorder.\r\n\r\n* Time propagation\r\n\r\n\r\nTBEE is available at https://github.com/cpoli/tbee\r\n\r\nTo use TBEE:\r\n\r\nInstall Python3.4 or Python3.5 and three additional packages:\r\n\r\nnumpy 1.10\r\nscipy 0.16\r\nmatplotlib 1.5\r\nSee https://cpoli.github.io/python-doc.html for Python installation details and to install a github repository (for mac).\r\n\r\nExamples are available at https://github.com/cpoli/tbee/tree/master/examples",
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        "license": "MIT",
        "maintainer": "Charles Poli",
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        "name": "tbee",
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        "summary": "TBEE is a package providing a Python implementation, with heavy use of numpy vectorization, of Tight-Binding models. It can be used to build up and solve tight-binding models with complex-valued onsite energies and hoppings.",
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