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        "author": "Huy Nguyen",
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        "description": "# datapad\n\n### install\n\n```\npip install datapad\n```\n\n### usage\n\ncreate a sequence\n\n```\nfrom datapad import Sequence\nseq = Sequence.from_iterable(range(10))\n```\n\nmap:\n\n```\nseq = Sequence.from_iterable(range(10))\nseq = seq.map(lambda v: v*2)\nlist(seq.all())\n```\n```\n[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n```\nfilter:\n\n```\nseq = Sequence.from_iterable(range(5))\nseq = seq.filter(lambda v: v > 1)\nlist(seq.all())\n```\n\n```\n[2, 3, 4]\n```\npmap_unordered:\n```\nseq = Sequence.from_iterable(range(10))\nseq = seq.map(lambda v: v*2)\nlist(seq.all()) # doctest: +SKIP\n```\n```\n[0, 2, 4, 6, 8, 10, 12, 14, 16, 18]\n```\n\nflatmap:\n```\nseq = Sequence.from_iterable(range(5))\nseq = seq.flatmap(lambda v: [v,v])\nlist(seq.all())\n```\n```\n[0, 0, 1, 1, 2, 2, 3, 3, 4, 4]\n```\n\ndropwhile:\n```\nseq = Sequence.from_iterable(range(5))\nseq = seq.dropwhile(lambda v: v > 1)\nlist(seq.all())\n```\n```\n[0, 1]\n```\n\ncount:\n```\nseq = Sequence.from_iterable(range(5))\nseq.count()\n```\n```\n5\n```\n\ndrop:\n```\nseq = Sequence.from_iterable(range(5))\nseq = seq.drop(2)\nlist(seq.all())\n```\n```\n[2, 3, 4]\n```",
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        "name": "datapad",
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        "summary": "Datapad is a library of lazy data transformations for sequences; similar to spark and linq",
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