adding note on fastparquet

Author: jrgauthier01

data-wrangling/parquet-from-oss.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "aa2046de",
+   "id": "0da99b91",
    "metadata": {},
    "source": [
     "## Reading/Writing Parquet Files From/to OCI Object Storage with Pandas\n",
@@ -19,7 +19,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7b6c2fbc",
+   "id": "22dc245b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,7 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "202379bb",
+   "id": "bd62ebae",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "55e50263",
+   "id": "ba1c87b3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6ab82d93",
+   "id": "5f68024c",
    "metadata": {},
    "source": [
     "# Single Large File"
@@ -68,7 +68,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "10759d13",
+   "id": "2a2d5c4a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,10 +79,11 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f0fdfa93",
+   "id": "a1b0b709",
    "metadata": {},
    "outputs": [],
    "source": [
+    "# using the `pyarrow` engine. You can also use `fastparquet`. \n",
     "for f in large_files: \n",
     "    df = pd.read_parquet(f\"oci://{bucket}@{namespace}/{f}\", \n",
     "                     storage_options=default_signer(),\n",
@@ -94,7 +95,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1d1c2c0c",
+   "id": "06706b05",
    "metadata": {},
    "source": [
     "# Multiple Large Files"
@@ -103,7 +104,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "51fade09",
+   "id": "c2d202b5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -113,7 +114,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "efb5f2d4",
+   "id": "8436ded0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +125,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d904ade7",
+   "id": "0e146024",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,7 +136,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d3c597c4",
+   "id": "22421b16",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -148,7 +149,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cf98a539",
+   "id": "a27c6c4b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -158,7 +159,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "352c80fe",
+   "id": "6a52a973",
    "metadata": {},
    "source": [
     "## Write Parquet Files to Object Storage: "
@@ -167,7 +168,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "795d3503",
+   "id": "f4923c6b",
    "metadata": {},
    "outputs": [],
    "source": [