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        "author": "Taurus Olson",
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        "description": "incisive\n========\n\n**incisive** is a tiny library for handling CSV in Python. It's a wrapper for the csv module.\n\n\nUsage\n-----\n\n* You can read a csv file like this::\n\n    >>> iris = read_csv(\"data/iris.csv\")\n    >>> iris.next()\n    {'petal_length': 1.4,\n     'petal_width': 0.2,\n     'sepal_length': 5.1,\n     'sepal_width': 3.5,\n     'species': 'setosa'}\n\n`read_csv` returns a generator. Note that `incisive`, by default, tries to guess the type of the columns.\n\n\n* Writing a CSV file can be done in two ways:\n  \n1. with a list of dictionaries::\n\n    >>> data = [{'name': 'Lancelot', 'actor': 'John Cleese', 'color': 'blue'},\n               {'name': 'Galahad', 'actor': 'Michael Palin', 'color': 'yellow'}]\n\n    >>> write_csv('bridge.csv', ('name', 'actor', 'color'), data=data)\n\n(the keys are the field names of the CSV file.)\n\n2. or with just a list of rows::\n\n    >>> rows = [('Lancelot', 'John Cleese', 'blue'),\n            ('Galahad', 'Michael Palin', 'yellow')]\n\n    >>> write_csv('bridge.csv', ('name', 'actor', 'color'), rows=rows)\n\nNote that this second method requires that your field names correspond exactly\nto the elements of your rows.\n\n\nFeatures\n--------\n\n* Simple API\n* Guess the types when it's possible \n* Accept functions to specify the types",
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        "keywords": "csv tools",
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