s3 notebook - code as documentation

notebooks/s3.ipynb

@@ -6,12 +6,12 @@
    "source": [
     "#### Writing to AWS S3\n",
     "\n",
-    "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**"
+    "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**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -30,7 +30,7 @@
     "from transport import providers\n",
     "import pandas as pd\n",
     "_data = pd.DataFrame({\"name\":['James Bond','Steve Rogers','Steve Nyemba'],'age':[55,150,44]})\n",
-    "mgw = transport.get.writer(label='aws',file='friends.csv',bucket='com.phi.demo')\n",
+    "mgw = transport.get.writer(label='aws')\n",
     "mgw.write(_data)\n",
     "print (transport.__version__)"
    ]
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -79,7 +79,7 @@
     "def cast(stream) :\n",
     "    print (stream)\n",
     "    return pd.DataFrame(str(stream))\n",
-    "mgr = transport.get.reader(label='aws', bucket='com.phi.demo',file='friends.csv')\n",
+    "mgr = transport.get.reader(label='aws')\n",
     "_df = mgr.read()\n",
     "print (_df)\n",
     "print ('--------- STATISTICS ------------')\n",