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        "author": "Pantelis Paliagkas",
        "author_email": "p.paliagkas@gmail.com",
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            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Topic :: Utilities"
        ],
        "description": "CHANGES\n=======\n\n0.0.9\n    ``from __future__ import division`` added to fix division operator to use\n    true division as in Python 3.0 instead of classic division.\n\n\nVectors\n=======\n\nVectors is a simple library toolkit dealing with common vector and point\nlogic in the 3-dimensional space.\n\nSupports commonly used vector math functions including:\n\n- Vector magnitude\n- Addition with another vector or a real number.\n- Multiplication by another vector or a real number.\n- Dot product\n- Cross/scalar product\n- Angle between vectors\n- Check if two vectors are perpendicular, parallel or non-parallel\n\n`Github Repository <https://github.com/allelos/vectors>`_\n\nInstallation\n============\n\n::\n\n    pip install vectors\n\nDocumentation\n=============\n\nUsage\n=====\n\nThere are multiple ways to create our vector instances using the vectors\nmodule.\n\nWe can first initialize some vectors and points calling their repsective\nclass contructors as follows.\n\n.. code:: python\n\n    from vectors import Point, Vector\n\n    v1 = Vector(1, 2, 3) #=> Vector(1, 2, 3)\n  v2 = Vector(2, 4, 6) #=> Vector(2, 4, 6)\n\n  p1 = Point(1, 2, 6) #=> Point(1, 2, 3)\n  p2 = Point(2, 0, 2) #=> Point(2, 4, 6)\n\nWe can also create a Point instance or a Vector instance with a list\nusing the class method from\\_list().\n\n.. code:: python\n\n    components = [1.2, 2.4, 3.8]\n\n    v = Vector.from_list(components) #=> Vector(1.2, 2.4, 3.8)\n\nWe can also create our Vectors from two Point instances using the\nclassmethod from\\_points().\n\n.. code:: python\n\n    v = Vector.from_points(p1, p2) #=> Vector(1, -2, -4)\n\nWe can also get access to the vector array to use it with other\nlibraries.\n\n.. code:: python\n\n    v1.vector #=> [1, 2, 3]\n\nMagnitude\n=========\n\nWe can get the magnitude of the vector easily.\n\n.. code:: python\n\n    v1.magnitude() #==> 3.7416573867739413\n\nAddition\n========\n\nWe can add a real number to a vector or compute the vector sum of two\nvectors as follows.\n\n.. code:: python\n\n    v1.add(2) #=> Vector(3.0, 4.0, 5.0)\n\n    v1.sum(v2) #=> Vector(3.0, 6.0, 9.0)\n\nBoth methods return a Vector instance.\n\nMultiplication\n==============\n\nWe can multiply a vector by a real number.\n\n.. code:: python\n\n    v1.multiply(4) #=> Vector(4.0, 8.0, 12.0)\n\nThe above returns a Vector instance.\n\nDot Product\n===========\n\nWe can find the dot product of two vectors.\n\n.. code:: python\n\n    v1.dot(v2) #=> 0.0\n\nWe can also use angle theta on the dot function.\n\n.. code:: python\n\n    v1.dot(v2. 180)\n\nDot product returns a real number.\n\nCross/Scalar Product\n====================\n\nWe can find the cross product of two vectors.\n\n.. code:: python\n\n    v1.cross(v2) #=> Vector(0, 0, 0)\n\nCross product returns a Vector instance, which is always perpendicular\nto the other two vectors.\n\nAngle Theta\n===========\n\nWe can also find the angle theta between two vectors.\n\n.. code:: python\n\n    v1.angle(v2) #=> 0.0\n\nAngle is a measured in degrees.\n\nParallel, Perpendicular, Non-Parallel\n=====================================\n\nWe can check if two vectors are parallel, perpendicular or non-parallel\nto each other.\n\n.. code:: python\n\n    v1.parallel(v2) #=> True\n    v1.perpendicular(v2) #=> False\n    v1.non_parallel(v2) #=> False\n\nAll of the above return either True or False.\n\nTODO\n====\n\n- Create Analytic Geometry Toolkit based on the vectors toolkit.\n\n\n",
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