s3 notebook - code as documentation
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"source": [
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"#### Writing to AWS S3\n",
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"\n",
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"We have setup our demo environment with the label **aws** passed to reference our s3 access_key and secret_key and file. In the cell below we will write the data to our aws s3 bucket named **com.phi.demo**"
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"We have setup our demo environment with the label **aws** passed to reference our s3 access_key and secret_key and file (called friends.csv). In the cell below we will write the data to our aws s3 bucket named **com.phi.demo**"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"from transport import providers\n",
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"import pandas as pd\n",
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"_data = pd.DataFrame({\"name\":['James Bond','Steve Rogers','Steve Nyemba'],'age':[55,150,44]})\n",
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"mgw = transport.get.writer(label='aws',file='friends.csv',bucket='com.phi.demo')\n",
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"mgw = transport.get.writer(label='aws')\n",
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"mgw.write(_data)\n",
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"print (transport.__version__)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"def cast(stream) :\n",
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" print (stream)\n",
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" return pd.DataFrame(str(stream))\n",
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"mgr = transport.get.reader(label='aws', bucket='com.phi.demo',file='friends.csv')\n",
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"mgr = transport.get.reader(label='aws')\n",
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"_df = mgr.read()\n",
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"print (_df)\n",
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"print ('--------- STATISTICS ------------')\n",
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