diff --git a/learn.ipynb b/learn.ipynb
index 365496e..0f03c4a 100644
--- a/learn.ipynb
+++ b/learn.ipynb
@@ -1,5 +1,20 @@
 {
  "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# learn.ipynb\n",
+    "# A Jupyter Notebook to Learn the stvid Process\n",
+    "#\n",
+    "# One FITS file will be acquired live from the attached video source.\n",
+    "# Each layer in the generated FITS file to be displayed.\n",
+    "# Each step in process_new.py to be performed and displayed,\n",
+    "# including output text files."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -20,7 +35,6 @@
     "from stvid.utils import get_sunset_and_sunrise\n",
     "import logging\n",
     "import configparser\n",
-    "import argparse\n",
     "import zwoasi as asi\n",
     "# XXX Requires non-libre libbcm_host.so ?\n",
     "#from picamerax.array import PiRGBArray\n",
@@ -155,7 +169,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "def capture_cv2(image_queue, z1, t1, z2, t2, nx, ny, nz, tend, device_id, live, cfg):\n",
@@ -405,7 +421,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "def compress(image_queue, z1, t1, z2, t2, nx, ny, nz, tend, path, device_id, cfg):\n",