JinRhee
diff --git a/‎00-Preface.ipynb
+5-5 b/‎00-Preface.ipynb
+5-5
diff --git a/‎01-g-h-filter.ipynb
+38-38 b/‎01-g-h-filter.ipynb
+38-38
diff --git a/‎02-Discrete-Bayes.ipynb
+29-29 b/‎02-Discrete-Bayes.ipynb
+29-29
diff --git a/‎03-Gaussians.ipynb
+31-31 b/‎03-Gaussians.ipynb
+31-31
diff --git a/‎04-One-Dimensional-Kalman-Filters.ipynb
+31-47 b/‎04-One-Dimensional-Kalman-Filters.ipynb
+31-47
diff --git a/‎05-Multivariate-Gaussians.ipynb
+41-41 b/‎05-Multivariate-Gaussians.ipynb
+41-41
diff --git a/‎06-Multivariate-Kalman-Filters.ipynb
+33-157 b/‎06-Multivariate-Kalman-Filters.ipynb
+33-157
diff --git a/‎07-Kalman-Filter-Math.ipynb
+17-17 b/‎07-Kalman-Filter-Math.ipynb
+17-17
diff --git a/‎08-Designing-Kalman-Filters.ipynb
+54-54 b/‎08-Designing-Kalman-Filters.ipynb
+54-54
diff --git a/‎09-Nonlinear-Filtering.ipynb
+19-19 b/‎09-Nonlinear-Filtering.ipynb
+19-19
diff --git a/‎10-Unscented-Kalman-Filter.ipynb
+40-40 b/‎10-Unscented-Kalman-Filter.ipynb
+40-40
diff --git a/‎11-Extended-Kalman-Filters.ipynb
+22-22 b/‎11-Extended-Kalman-Filters.ipynb
+22-22
diff --git a/‎12-Particle-Filters.ipynb
+21-21 b/‎12-Particle-Filters.ipynb
+21-21
diff --git a/‎13-Smoothing.ipynb
+24-24 b/‎13-Smoothing.ipynb
+24-24
diff --git a/‎14-Adaptive-Filtering.ipynb
+32-32 b/‎14-Adaptive-Filtering.ipynb
+32-32
diff --git a/‎Supporting_Notebooks/Interactions.ipynb
+14-13 b/‎Supporting_Notebooks/Interactions.ipynb
+14-13
@@ -32,7 +32,6 @@
    ],
    "source": [
     "#format the book\n",
-    "from __future__ import division, print_function\n",
     "%matplotlib inline\n",
     "import sys\n",
     "sys.path.insert(0, '..')\n",
@@ -93,13 +92,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5f6d72e65be24e628d9f6f144f309234",
+       "model_id": "034e065d0c5e49b0b8f6f0407b4b4200",
        "version_major": 2,
        "version_minor": 0
       },
@@ -113,8 +112,8 @@
    ],
    "source": [
     "%matplotlib inline\n",
-    "from IPython.html.widgets import interact, interactive, fixed\n",
-    "import IPython.html.widgets as widgets\n",
+    "from ipywidgets import interact, interactive, fixed\n",
+    "import ipywidgets as widgets\n",
     "import numpy as np\n",
     "import numpy.linalg as linalg\n",
     "import math\n",
@@ -174,12 +173,14 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cc2e30d2d25946d598ba42683e49c891",
+       "model_id": "9c0bee6040b745dbadaafbd03de426ed",
        "version_major": 2,
        "version_minor": 0
       },
@@ -193,8 +194,8 @@
    ],
    "source": [
     "%matplotlib inline\n",
-    "from IPython.html.widgets import interact, interactive, fixed\n",
-    "from IPython.html.widgets import FloatSlider\n",
+    "from ipywidgets import interact, interactive, fixed\n",
+    "from ipywidgets import FloatSlider\n",
     "from math import cos, sin, pi, atan2, sqrt\n",
     "import  numpy.linalg as linalg\n",
     "import matplotlib.pyplot as plt\n",
@@ -246,7 +247,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c8a6dc551eae4845beaae8da7b8f72b3",
+       "model_id": "aee1320d4a0f431e8dd022e05a14f280",
        "version_major": 2,
        "version_minor": 0
       },
@@ -260,8 +261,8 @@
    ],
    "source": [
     "%matplotlib inline\n",
-    "from IPython.html.widgets import interact, interactive, fixed\n",
-    "import IPython.html.widgets as widgets\n",
+    "from ipywidgets import interact, interactive, fixed\n",
+    "import ipywidgets as widgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import numpy.random as random\n",
@@ -318,7 +319,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.12"
+   "version": "3.9.7"
   }
  },
  "nbformat": 4,