Add 1 more tutorial

Author: igorborgest

tutorials/1 - Introduction.ipynb renamed to tutorials/01 - Introduction.ipynb

@@ -17,7 +17,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -56,6 +56,31 @@
     "eng_redshift = wr.catalog.get_engine(\"aws-data-wrangler-redshift\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Raw SQL queries (No Pandas)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[(1,)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "with eng_postgresql.connect() as con:\n",
+    "    print(con.execute(\"SELECT 1\").fetchall())"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

tutorials/2 - Sessions.ipynb renamed to tutorials/02 - Sessions.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "[![AWS Data Wrangler](_static/logo.png \"AWS Data Wrangler\")](https://github.com/awslabs/aws-data-wrangler)\n",
     "\n",
-    "# 8 - Redshift COPY & UNLOAD\n",
+    "# 8 - Redshift - COPY & UNLOAD\n",
     "\n",
     "`Amazon Redshift` has two SQL command that help to load and unload large amount of data staging it on `Amazon S3`:\n",
     "\n",