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        "description": "VecPy: Some Linear Algebra Basics in Python\n===========================================\n\n.. image:: https://img.shields.io/pypi/v/requests.svg\n    :target: https://pypi.python.org/pypi/vecpy\n\n.. image:: https://img.shields.io/pypi/dm/requests.svg\n        :target: https://pypi.python.org/pypi/vecpy\n\nA quick one:\n\n.. code-block:: python\n\n    >>> from vecpy import Vector as Vec\n    >>> v = Vec(0, 2)\n    >>> w = Vec([1, 3])\n    >>> v + 2 \n    >>> v + w \n\nFeatures\n--------\n\n- Basic operations ( dot-product, projection, rescaling, etc.)\n\n\nInstallation\n------------\n\nTo install VecPy, simply:\n\n.. code-block:: bash\n\n    $ pip install vecpy\n\n\nDocumentation\n-------------\n\nThis is a simple package allowing to complete very basic linear algebra tasks.\n\nIt is best explained by example:\n\n.. code-block:: python\n\n    >>> v = Vec(0, 2)\n    >>> w = Vec(1, 3)\n\n\nYou can do basic rescaling of a vector:\n\n.. code-block:: python\n\n    >>> v_twice = v ^ 2\n    >>> print v_twice.length == 2 * v.length\n    >>> v_unit = v ^ 0\n    >>> print v_unit.length\n    \nAdding scalar and other vectors:\n\n.. code-block:: python\n\n    >>> v + 2\n    >>> v + w\n    ...\n\n\nMultiplication and dot-product\n\n.. code-block:: python\n\n    >>> v * 3\n    >>> v.dot(w)\n\nA vector has several properties:\n\n.. code-block:: python\n\n    >>> v.length\n    >>> v.dim\n    \nYou can specify which norm to use (default is the Euclidean)\n\n.. code-block:: python\n\n    >>> v.norm(1)\n    >>> v.norm('inf')\n    >>> v.norm(2) == v.length\n    ...\n        \nYou can project one vector on another:\n\n.. code-block:: python\n\n    >>> w_proj_v = v.proj(w)\n    >>> ratio = v.proj(w, get_scale=True)\n\nIteration is supported as well:\n\n.. code-block:: python\n\n    >>> print [xi for xi in v]\n\nString representations:\n\n.. code-block:: python\n\n    >>> print str(v)\n    >>> print '{:[x, y, z]}'.format(v)",
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