diff --git a/11_classes/00_content.ipynb b/11_classes/00_content.ipynb
index 87a9bae..2850088 100644
--- a/11_classes/00_content.ipynb
+++ b/11_classes/00_content.ipynb
@@ -1083,13 +1083,13 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self._entries)\n",
+    "        args = \", \".join(repr(x) for x in self._entries)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __str__(self):\n",
     "        first, last = self._entries[0], self._entries[-1]\n",
     "        n_entries = len(self._entries)\n",
-    "        return f\"Vector({first:.1f}, ..., {last:.1f})[{n_entries:d}]\""
+    "        return f\"Vector({first!r}, ..., {last!r})[{n_entries:d}]\""
    ]
   },
   {
@@ -1132,7 +1132,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 31,
@@ -1167,7 +1167,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 32,
@@ -1176,7 +1176,7 @@
     }
    ],
    "source": [
-    "Vector((1.000, 2.000, 3.000))"
+    "Vector((1.0, 2.0, 3.0))"
    ]
   },
   {
@@ -1202,7 +1202,7 @@
     {
      "data": {
       "text/plain": [
-       "'Vector((1.000, 2.000, 3.000))'"
+       "'Vector((1.0, 2.0, 3.0))'"
       ]
      },
      "execution_count": 33,
@@ -1334,13 +1334,13 @@
     "            raise ValueError(\"a matrix must have at least one entry\")\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    def __str__(self):\n",
     "        first, last = self._entries[0][0], self._entries[-1][-1]\n",
     "        m, n = len(self._entries), len(self._entries[0])\n",
-    "        return f\"Matrix(({first:.1f}, ...), ..., (..., {last:.1f}))[{m:d}x{n:d}]\""
+    "        return f\"Matrix(({first!r}, ...), ..., (..., {last!r}))[{m:d}x{n:d}]\""
    ]
   },
   {
@@ -1521,7 +1521,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 43,
@@ -1660,7 +1660,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    def transpose(self):\n",
@@ -1703,7 +1703,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 49,
@@ -1727,7 +1727,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 4.000, 7.000,), (2.000, 5.000, 8.000,), (3.000, 6.000, 9.000,)))"
+       "Matrix(((1.0, 4.0, 7.0,), (2.0, 5.0, 8.0,), (3.0, 6.0, 9.0,)))"
       ]
      },
      "execution_count": 50,
@@ -1775,7 +1775,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 52,
@@ -1876,7 +1876,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    def transpose(self):\n",
@@ -1923,7 +1923,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 57,
@@ -1993,7 +1993,7 @@
     "            raise ValueError(\"a matrix must have at least one entry\")\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    @property\n",
diff --git a/11_classes/02_content.ipynb b/11_classes/02_content.ipynb
index 644fad2..90d650e 100644
--- a/11_classes/02_content.ipynb
+++ b/11_classes/02_content.ipynb
@@ -77,7 +77,7 @@
     "            raise ValueError(\"a vector must have at least one entry\")\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self._entries)\n",
+    "        args = \", \".join(repr(x) for x in self._entries)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __len__(self):\n",
@@ -762,7 +762,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    @property\n",
@@ -825,7 +825,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self)\n",
+    "        args = \", \".join(repr(x) for x in self)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __iter__(self):\n",
@@ -860,7 +860,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 25,
@@ -951,7 +951,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Vector((1.000, 2.000, 3.000))   Vector((4.000, 5.000, 6.000))   Vector((7.000, 8.000, 9.000))   "
+      "Vector((1.0, 2.0, 3.0))   Vector((4.0, 5.0, 6.0))   Vector((7.0, 8.0, 9.0))   "
      ]
     }
    ],
@@ -973,7 +973,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Vector((1.000, 4.000, 7.000))   Vector((2.000, 5.000, 8.000))   Vector((3.000, 6.000, 9.000))   "
+      "Vector((1.0, 4.0, 7.0))   Vector((2.0, 5.0, 8.0))   Vector((3.0, 6.0, 9.0))   "
      ]
     }
    ],
@@ -1069,7 +1069,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    def transpose(self):\n",
@@ -1102,7 +1102,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 34,
@@ -1161,7 +1161,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 4.000, 7.000,), (2.000, 5.000, 8.000,), (3.000, 6.000, 9.000,)))"
+       "Matrix(((1.0, 4.0, 7.0,), (2.0, 5.0, 8.0,), (3.0, 6.0, 9.0,)))"
       ]
      },
      "execution_count": 36,
@@ -1248,7 +1248,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    def __iter__(self):  # adapted for brevity; uses parts of entries()\n",
@@ -1285,7 +1285,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 40,
@@ -1333,7 +1333,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 4.000, 7.000,), (2.000, 5.000, 8.000,), (3.000, 6.000, 9.000,)))"
+       "Matrix(((1.0, 4.0, 7.0,), (2.0, 5.0, 8.0,), (3.0, 6.0, 9.0,)))"
       ]
      },
      "execution_count": 42,
@@ -1357,7 +1357,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 4.000, 7.000,), (2.000, 5.000, 8.000,), (3.000, 6.000, 9.000,)))"
+       "Matrix(((1.0, 4.0, 7.0,), (2.0, 5.0, 8.0,), (3.0, 6.0, 9.0,)))"
       ]
      },
      "execution_count": 43,
@@ -1434,7 +1434,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self)\n",
+    "        args = \", \".join(repr(x) for x in self)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __getitem__(self, index):\n",
@@ -1472,7 +1472,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 47,
@@ -1520,7 +1520,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((nan, 2.000, 3.000))"
+       "Vector((nan, 2.0, 3.0))"
       ]
      },
      "execution_count": 49,
@@ -1557,7 +1557,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((99.000, 2.000, 3.000))"
+       "Vector((99.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 51,
diff --git a/11_classes/03_content.ipynb b/11_classes/03_content.ipynb
index def4be5..5bd0fe2 100644
--- a/11_classes/03_content.ipynb
+++ b/11_classes/03_content.ipynb
@@ -86,7 +86,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self)\n",
+    "        args = \", \".join(repr(x) for x in self)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __iter__(self):\n",
@@ -115,7 +115,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    @property\n",
@@ -160,7 +160,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 4,
@@ -208,7 +208,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000,), (2.000,), (3.000,)))"
+       "Matrix(((1.0,), (2.0,), (3.0,)))"
       ]
      },
      "execution_count": 6,
@@ -267,7 +267,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 8,
@@ -315,7 +315,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,)))"
       ]
      },
      "execution_count": 10,
@@ -363,7 +363,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 12,
@@ -682,7 +682,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self)\n",
+    "        args = \", \".join(repr(x) for x in self)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __len__(self):\n",
@@ -790,7 +790,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((2.000, 4.000, 6.000))"
+       "Vector((2.0, 4.0, 6.0))"
       ]
      },
      "execution_count": 24,
@@ -814,7 +814,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((3.000, 6.000, 9.000))"
+       "Vector((3.0, 6.0, 9.0))"
       ]
      },
      "execution_count": 25,
@@ -910,7 +910,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((0.333, 0.667, 1.000))"
+       "Vector((0.3333333333333333, 0.6666666666666666, 1.0))"
       ]
      },
      "execution_count": 28,
@@ -945,7 +945,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((2.000, 4.000, 6.000))"
+       "Vector((2.0, 4.0, 6.0))"
       ]
      },
      "execution_count": 29,
@@ -969,7 +969,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((0.000, 0.000, 0.000))"
+       "Vector((0.0, 0.0, 0.0))"
       ]
      },
      "execution_count": 30,
@@ -1019,7 +1019,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((101.000, 102.000, 103.000))"
+       "Vector((101.0, 102.0, 103.0))"
       ]
      },
      "execution_count": 32,
@@ -1043,7 +1043,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((99.000, 98.000, 97.000))"
+       "Vector((99.0, 98.0, 97.0))"
       ]
      },
      "execution_count": 33,
@@ -1146,7 +1146,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(\"(\" + \", \".join(f\"{c:.3f}\" for c in r) + \",)\" for r in self._entries)\n",
+    "        args = \", \".join(\"(\" + \", \".join(repr(c) for c in r) + \",)\" for r in self._entries)\n",
     "        return f\"Matrix(({args}))\"\n",
     "\n",
     "    @property\n",
@@ -1270,7 +1270,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((10.000, 20.000, 30.000,), (40.000, 50.000, 60.000,), (70.000, 80.000, 90.000,)))"
+       "Matrix(((10.0, 20.0, 30.0,), (40.0, 50.0, 60.0,), (70.0, 80.0, 90.0,)))"
       ]
      },
      "execution_count": 37,
@@ -1294,7 +1294,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 38,
@@ -1318,7 +1318,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((0.000, 0.000, 0.000,), (0.000, 0.000, 0.000,), (0.000, 0.000, 0.000,)))"
+       "Matrix(((0.0, 0.0, 0.0,), (0.0, 0.0, 0.0,), (0.0, 0.0, 0.0,)))"
       ]
      },
      "execution_count": 39,
@@ -1353,7 +1353,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((138.000, 171.000, 204.000,), (174.000, 216.000, 258.000,)))"
+       "Matrix(((138.0, 171.0, 204.0,), (174.0, 216.0, 258.0,)))"
       ]
      },
      "execution_count": 40,
@@ -1426,7 +1426,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((14.000, 32.000, 50.000))"
+       "Vector((14.0, 32.0, 50.0))"
       ]
      },
      "execution_count": 42,
@@ -1450,7 +1450,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((30.000, 36.000, 42.000))"
+       "Vector((30.0, 36.0, 42.0))"
       ]
      },
      "execution_count": 43,
@@ -1474,7 +1474,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((68.000, 86.000))"
+       "Vector((68.0, 86.0))"
       ]
      },
      "execution_count": 44,
@@ -1536,7 +1536,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((101.000, 102.000, 103.000,), (104.000, 105.000, 106.000,), (107.000, 108.000, 109.000,)))"
+       "Matrix(((101.0, 102.0, 103.0,), (104.0, 105.0, 106.0,), (107.0, 108.0, 109.0,)))"
       ]
      },
      "execution_count": 46,
@@ -1560,7 +1560,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((99.000, 98.000, 97.000,), (96.000, 95.000, 94.000,), (93.000, 92.000, 91.000,)))"
+       "Matrix(((99.0, 98.0, 97.0,), (96.0, 95.0, 94.0,), (93.0, 92.0, 91.0,)))"
       ]
      },
      "execution_count": 47,
@@ -1724,7 +1724,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self)\n",
+    "        args = \", \".join(repr(x) for x in self)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __len__(self):\n",
@@ -1881,7 +1881,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 58,
@@ -1994,7 +1994,7 @@
     "        # ...\n",
     "\n",
     "    def __repr__(self):\n",
-    "        args = \", \".join(f\"{x:.3f}\" for x in self)\n",
+    "        args = \", \".join(repr(x) for x in self)\n",
     "        return f\"Vector(({args}))\"\n",
     "\n",
     "    def __iter__(self):\n",
@@ -2058,7 +2058,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 65,
@@ -2106,7 +2106,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((-3.000, -4.000))"
+       "Vector((-3.0, -4.0))"
       ]
      },
      "execution_count": 67,
diff --git a/11_classes/04_content.ipynb b/11_classes/04_content.ipynb
index 51b0818..959c160 100644
--- a/11_classes/04_content.ipynb
+++ b/11_classes/04_content.ipynb
@@ -303,13 +303,13 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) + Matrix([(2, 3), (4, 5)])\n",
-      "     |          Matrix(((3.000, 5.000,), (7.000, 9.000,)))\n",
+      "     |          Matrix(((3.0, 5.0,), (7.0, 9.0,)))\n",
       "     |      \n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) + 5\n",
-      "     |          Matrix(((6.000, 7.000,), (8.000, 9.000,)))\n",
+      "     |          Matrix(((6.0, 7.0,), (8.0, 9.0,)))\n",
       "     |      \n",
       "     |          >>> 10 + Matrix([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((11.000, 12.000,), (13.000, 14.000,)))\n",
+      "     |          Matrix(((11.0, 12.0,), (13.0, 14.0,)))\n",
       "     |  \n",
       "     |  __bool__(self)\n",
       "     |      A Matrix is truthy if its Frobenius norm is strictly positive.\n",
@@ -372,7 +372,7 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((1.000, 2.000,), (3.000, 4.000,)))\n",
+      "     |          Matrix(((1.0, 2.0,), (3.0, 4.0,)))\n",
       "     |  \n",
       "     |  __iter__(self)\n",
       "     |      Loop over a Matrix's entries.\n",
@@ -390,21 +390,23 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) * Matrix([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((7.000, 10.000,), (15.000, 22.000,)))\n",
+      "     |          Matrix(((7.0, 10.0,), (15.0, 22.0,)))\n",
       "     |      \n",
       "     |          >>> 2 * Matrix([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((2.000, 4.000,), (6.000, 8.000,)))\n",
+      "     |          Matrix(((2.0, 4.0,), (6.0, 8.0,)))\n",
       "     |      \n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) * 3\n",
-      "     |          Matrix(((3.000, 6.000,), (9.000, 12.000,)))\n",
+      "     |          Matrix(((3.0, 6.0,), (9.0, 12.0,)))\n",
       "     |      \n",
       "     |          Matrix-vector and vector-matrix multiplication are not commutative.\n",
       "     |      \n",
+      "     |          >>> from sample_package import Vector\n",
+      "     |      \n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) * Vector([5, 6])\n",
-      "     |          Vector((17.000, 39.000))\n",
+      "     |          Vector((17.0, 39.0))\n",
       "     |      \n",
       "     |          >>> Vector([5, 6]) * Matrix([(1, 2), (3, 4)])\n",
-      "     |          Vector((23.000, 34.000))\n",
+      "     |          Vector((23.0, 34.0))\n",
       "     |  \n",
       "     |  __neg__(self)\n",
       "     |      Handle `-self`.\n",
@@ -443,13 +445,13 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix([(2, 3), (4, 5)]) - Matrix([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((1.000, 1.000,), (1.000, 1.000,)))\n",
+      "     |          Matrix(((1.0, 1.0,), (1.0, 1.0,)))\n",
       "     |      \n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) - 1\n",
-      "     |          Matrix(((0.000, 1.000,), (2.000, 3.000,)))\n",
+      "     |          Matrix(((0.0, 1.0,), (2.0, 3.0,)))\n",
       "     |      \n",
       "     |          >>> 10 - Matrix([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((9.000, 8.000,), (7.000, 6.000,)))\n",
+      "     |          Matrix(((9.0, 8.0,), (7.0, 6.0,)))\n",
       "     |  \n",
       "     |  __truediv__(self, other)\n",
       "     |      Handle `self / other`.\n",
@@ -458,7 +460,7 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix([(1, 2), (3, 4)]) / 4\n",
-      "     |          Matrix(((0.250, 0.500,), (0.750, 1.000,)))\n",
+      "     |          Matrix(((0.25, 0.5,), (0.75, 1.0,)))\n",
       "     |  \n",
       "     |  as_vector(self)\n",
       "     |      Get a Vector representation of a Matrix.\n",
@@ -471,7 +473,7 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix([(1, 2, 3)]).as_vector()\n",
-      "     |          Vector((1.000, 2.000, 3.000))\n",
+      "     |          Vector((1.0, 2.0, 3.0))\n",
       "     |  \n",
       "     |  cols(self)\n",
       "     |      Loop over a Matrix's columns.\n",
@@ -504,9 +506,9 @@
       "     |      Example Usage:\n",
       "     |          >>> m = Matrix([(1, 2), (3, 4)])\n",
       "     |          >>> m\n",
-      "     |          Matrix(((1.000, 2.000,), (3.000, 4.000,)))\n",
+      "     |          Matrix(((1.0, 2.0,), (3.0, 4.0,)))\n",
       "     |          >>> m.transpose()\n",
-      "     |          Matrix(((1.000, 3.000,), (2.000, 4.000,)))\n",
+      "     |          Matrix(((1.0, 3.0,), (2.0, 4.0,)))\n",
       "     |  \n",
       "     |  ----------------------------------------------------------------------\n",
       "     |  Class methods defined here:\n",
@@ -529,7 +531,7 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Matrix.from_columns([(1, 2), (3, 4)])\n",
-      "     |          Matrix(((1.000, 3.000,), (2.000, 4.000,)))\n",
+      "     |          Matrix(((1.0, 3.0,), (2.0, 4.0,)))\n",
       "     |  \n",
       "     |  from_rows(data) from builtins.type\n",
       "     |      See docstring for .__init__().\n",
@@ -612,13 +614,13 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Vector([1, 2, 3]) + Vector([2, 3, 4])\n",
-      "     |          Vector((3.000, 5.000, 7.000))\n",
+      "     |          Vector((3.0, 5.0, 7.0))\n",
       "     |      \n",
       "     |          >>> Vector([1, 2, 3]) + 4\n",
-      "     |          Vector((5.000, 6.000, 7.000))\n",
+      "     |          Vector((5.0, 6.0, 7.0))\n",
       "     |      \n",
       "     |          >>> 10 + Vector([1, 2, 3])\n",
-      "     |          Vector((11.000, 12.000, 13.000))\n",
+      "     |          Vector((11.0, 12.0, 13.0))\n",
       "     |  \n",
       "     |  __bool__(self)\n",
       "     |      A Vector is truthy if its Euclidean norm is strictly positive.\n",
@@ -658,10 +660,10 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Vector([1, 2, 3])\n",
-      "     |          Vector((1.000, 2.000, 3.000))\n",
+      "     |          Vector((1.0, 2.0, 3.0))\n",
       "     |      \n",
       "     |          >>> Vector(range(3))\n",
-      "     |          Vector((0.000, 1.000, 2.000))\n",
+      "     |          Vector((0.0, 1.0, 2.0))\n",
       "     |  \n",
       "     |  __iter__(self)\n",
       "     |      Loop over a Vector's entries.\n",
@@ -679,10 +681,10 @@
       "     |          20.0\n",
       "     |      \n",
       "     |          >>> 2 * Vector([1, 2, 3])\n",
-      "     |          Vector((2.000, 4.000, 6.000))\n",
+      "     |          Vector((2.0, 4.0, 6.0))\n",
       "     |      \n",
       "     |          >>> Vector([1, 2, 3]) * 3\n",
-      "     |          Vector((3.000, 6.000, 9.000))\n",
+      "     |          Vector((3.0, 6.0, 9.0))\n",
       "     |  \n",
       "     |  __neg__(self)\n",
       "     |      Handle `-self`.\n",
@@ -719,13 +721,13 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Vector([7, 8, 9]) - Vector([1, 2, 3])\n",
-      "     |          Vector((6.000, 6.000, 6.000))\n",
+      "     |          Vector((6.0, 6.0, 6.0))\n",
       "     |      \n",
       "     |          >>> Vector([1, 2, 3]) - 1\n",
-      "     |          Vector((0.000, 1.000, 2.000))\n",
+      "     |          Vector((0.0, 1.0, 2.0))\n",
       "     |      \n",
       "     |          >>> 10 - Vector([1, 2, 3])\n",
-      "     |          Vector((9.000, 8.000, 7.000))\n",
+      "     |          Vector((9.0, 8.0, 7.0))\n",
       "     |  \n",
       "     |  __truediv__(self, other)\n",
       "     |      Handle `self / other`.\n",
@@ -734,7 +736,7 @@
       "     |      \n",
       "     |      Example Usage:\n",
       "     |          >>> Vector([9, 6, 12]) / 3\n",
-      "     |          Vector((3.000, 2.000, 4.000))\n",
+      "     |          Vector((3.0, 2.0, 4.0))\n",
       "     |  \n",
       "     |  as_matrix(self, *, column=True)\n",
       "     |      Get a Matrix representation of a Vector.\n",
@@ -749,9 +751,9 @@
       "     |      Example Usage:\n",
       "     |          >>> v = Vector([1, 2, 3])\n",
       "     |          >>> v.as_matrix()\n",
-      "     |          Matrix(((1.000,), (2.000,), (3.000,)))\n",
+      "     |          Matrix(((1.0,), (2.0,), (3.0,)))\n",
       "     |          >>> v.as_matrix(column=False)\n",
-      "     |          Matrix(((1.000, 2.000, 3.000,)))\n",
+      "     |          Matrix(((1.0, 2.0, 3.0,)))\n",
       "     |  \n",
       "     |  ----------------------------------------------------------------------\n",
       "     |  Data descriptors defined here:\n",
@@ -876,7 +878,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 11,
@@ -896,7 +898,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 12,
@@ -1116,7 +1118,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 21,
@@ -1165,7 +1167,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 24,
@@ -1271,10 +1273,10 @@
        "\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m        Example Usage:\u001b[0m\n",
        "\u001b[0;34m            >>> Vector([1, 2, 3])\u001b[0m\n",
-       "\u001b[0;34m            Vector((1.000, 2.000, 3.000))\u001b[0m\n",
+       "\u001b[0;34m            Vector((1.0, 2.0, 3.0))\u001b[0m\n",
        "\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m            >>> Vector(range(3))\u001b[0m\n",
-       "\u001b[0;34m            Vector((0.000, 1.000, 2.000))\u001b[0m\n",
+       "\u001b[0;34m            Vector((0.0, 1.0, 2.0))\u001b[0m\n",
        "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_entries\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstorage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtyping\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
@@ -1420,9 +1422,9 @@
        "\u001b[0;34m        Example Usage:\u001b[0m\n",
        "\u001b[0;34m            >>> m = Matrix([(1, 2), (3, 4)])\u001b[0m\n",
        "\u001b[0;34m            >>> m\u001b[0m\n",
-       "\u001b[0;34m            Matrix(((1.000, 2.000,), (3.000, 4.000,)))\u001b[0m\n",
+       "\u001b[0;34m            Matrix(((1.0, 2.0,), (3.0, 4.0,)))\u001b[0m\n",
        "\u001b[0;34m            >>> m.transpose()\u001b[0m\n",
-       "\u001b[0;34m            Matrix(((1.000, 3.000,), (2.000, 4.000,)))\u001b[0m\n",
+       "\u001b[0;34m            Matrix(((1.0, 3.0,), (2.0, 4.0,)))\u001b[0m\n",
        "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_entries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mFile:\u001b[0m      ~/repos/intro-to-python/11_classes/sample_package/matrix.py\n",
@@ -1512,7 +1514,7 @@
        "\u001b[0;34m\u001b[0m        \u001b[0;34m\"\"\"Text representation of a Matrix.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0mname\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__class__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\", \"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m            \u001b[0;34m\"(\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\", \"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{c:.3f}\"\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\",)\"\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_entries\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m            \u001b[0;34m\"(\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\", \"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mc\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\",)\"\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_entries\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0;34mf\"{name}(({args}))\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mFile:\u001b[0m      ~/repos/intro-to-python/11_classes/sample_package/matrix.py\n",
@@ -1604,9 +1606,9 @@
        "\u001b[0;34m        Example Usage:\u001b[0m\n",
        "\u001b[0;34m            >>> v = Vector([1, 2, 3])\u001b[0m\n",
        "\u001b[0;34m            >>> v.as_matrix()\u001b[0m\n",
-       "\u001b[0;34m            Matrix(((1.000,), (2.000,), (3.000,)))\u001b[0m\n",
+       "\u001b[0;34m            Matrix(((1.0,), (2.0,), (3.0,)))\u001b[0m\n",
        "\u001b[0;34m            >>> v.as_matrix(column=False)\u001b[0m\n",
-       "\u001b[0;34m            Matrix(((1.000, 2.000, 3.000,)))\u001b[0m\n",
+       "\u001b[0;34m            Matrix(((1.0, 2.0, 3.0,)))\u001b[0m\n",
        "\u001b[0;34m        \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
        "\u001b[0;34m\u001b[0m            \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmatrix_cls\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
@@ -1725,7 +1727,7 @@
     {
      "data": {
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(855.7204255082062, 21.70137145759954, 821.9399224471144, 689.719183909427, 275.95713674360564, 553.6631532853207, 556.3230855067685, 925.9224502117322, 154.7147862187559, 37.73630008376983, 355.65575328549073, 138.40819347641, 367.0828930260639, 582.15570635987, 232.99414855423439, 811.0742367826583, 91.90512128537264, 399.79824847776393, 917.8818033444678, 734.2659538775798, 723.580526744515, 792.90419431428, 172.9024908563226, 825.7052443848854, 689.5951010498992, 576.2324617766981, 907.6556421470943, 595.2312025595801, 300.39325384327464, 730.7893619562772, 576.2836961563387, 78.47739592285386, 55.9227088233194, 770.9015036701385, 347.9302069529332, 817.1417000465422, 416.5217126179194, 867.8310969512203, 869.7865141212199, 226.7176713621516, 652.7791831603508, 602.3016343165425, 11.43438096260352, 777.4186181440473, 382.4869621852632, 304.78339287924285, 41.18225216356319, 539.9297294386691, 149.58001916730123, 502.40161044723277,), (220.79717482028516, 50.51981414582751, 731.5785735649414, 392.8827045190352, 445.61623597771074, 595.1321912948403, 504.7293461120348, 222.0856281514143, 289.78302915668706, 394.3224038780659, 132.18904537087806, 82.54511263858267, 571.4405905106294, 49.31109807008804, 399.1912995469419, 85.0789874682354, 501.8231156057946, 773.8251365562567, 130.37517489517413, 134.87076372595496, 559.2961773135403, 487.8610998043328, 652.2484389791689, 196.09930039322077, 615.9968375942019, 735.6677541453226, 246.24584050711306, 71.64398034108488, 776.7718987916836, 323.41164115621126, 924.1380808950829, 89.59464812673524, 671.7475534497354, 423.54060236564004, 348.3078568465243, 320.7383628526695, 593.8771490410704, 24.206830335269046, 304.8188475463931, 987.6519169637293, 616.2209944545034, 990.1591822713317, 442.2101052342515, 145.81847519027758, 44.87755093137324, 818.1719201318144, 199.68521360575576, 373.82079032056936, 757.7337825930621, 852.7641451792005,), (112.37174078510425, 54.53801336175423, 948.9409150257889, 926.7296951091071, 868.7523516449686, 820.1339564299961, 13.733292693431377, 693.7952250561176, 111.27799231646985, 450.0615706383459, 22.748115151202008, 209.00954112420212, 538.0054579069861, 203.80135287660516, 523.2658814665313, 258.6580034255985, 483.02633034469176, 729.9235835097888, 141.34742092394183, 698.7552320082528, 18.38851255630447, 583.0049433264157, 663.5283419996432, 43.482007499458966, 170.31964704476331, 284.0135410479907, 789.1884945074221, 617.9647763913978, 53.08524865627895, 654.757871815387, 8.334175248427611, 388.6451472369792, 271.3103790803375, 852.0829447572587, 660.1003733293647, 864.2822735599534, 19.078323934194174, 867.4104428544812, 649.4111447522284, 231.16862013781702, 380.7012029628479, 976.6119398898542, 99.60371184253735, 315.45596930877974, 866.7727455281198, 531.5606451632132, 186.41738741751902, 500.65082286887883, 457.98626214778074, 926.3499730264335,), (21.488458214345528, 247.39213974975127, 529.4153638551198, 333.56963463077574, 393.3998178272747, 157.0052505908327, 346.7799029075455, 351.913082267181, 625.2309702510104, 236.20476570721272, 978.2442672445462, 501.25146117715735, 811.8928600997455, 625.792363715763, 878.6772741911603, 890.4020860787615, 814.858637678337, 29.46589845520775, 554.9393515968055, 280.19384462820506, 151.70818076868466, 897.1753149691715, 656.9317589496127, 87.79501713730143, 382.2071218544083, 960.6056934445716, 612.4483933501054, 625.5246004948266, 227.42797745267552, 240.36080817057604, 152.7491541688516, 970.537173095217, 909.7353935641712, 329.2847383705465, 542.2337512058923, 206.75727466100935, 138.5765267985366, 541.353826851015, 800.1050591640936, 862.5876615800681, 308.9983961621827, 705.1363877851007, 523.8054835018718, 135.25249384391523, 995.6858002320087, 975.7769090685993, 145.15239489251186, 933.0299464229068, 917.1121206734174, 317.4962108419391,), (557.3402980935688, 948.6015641647615, 118.38729071717869, 317.59758919121697, 879.6381216162653, 727.0795332601915, 765.4350125691849, 880.131900108576, 414.04015541967885, 411.2517632793493, 443.004487049652, 933.768524391193, 894.1300931338027, 933.2500304158002, 273.79616463152354, 779.1078849727928, 106.77143284340107, 184.74649657456732, 762.4474837329655, 611.981597669024, 266.86261300447956, 567.0430929389746, 230.911348733013, 232.18253426933566, 687.377885178361, 359.26133453455134, 688.141284732716, 476.6022200441854, 502.32458745046125, 604.7117596027515, 712.01912797666, 373.95940113050096, 852.1294324655852, 491.4455970663347, 137.5127223416147, 193.25982947851017, 32.22955322704579, 764.5388541282347, 15.014260451757021, 269.85870264618126, 413.04402219171976, 742.3666616628996, 988.2434174629566, 757.7765897256293, 66.13632423488936, 927.1032061777938, 985.6276395863681, 867.1290026386034, 489.9428985108636, 324.8956268040456,), (457.5449294417121, 246.78384086158633, 404.86676824252845, 41.826275050118156, 735.3317798996605, 380.3741687551209, 312.89749141149747, 611.504874670052, 742.4678547079448, 593.805801392789, 525.2305317028896, 875.7829718598168, 786.9198623188731, 520.6490912237487, 451.6095925636621, 827.0101016593499, 42.41591600909778, 995.8363715240481, 518.7026525875117, 395.6111966358917, 735.1700815502675, 557.7009498134095, 516.1266830947985, 630.6485530927204, 49.29544918127604, 291.17936223412954, 398.0398914545593, 304.5541478222386, 827.6210076057507, 461.347163963963, 422.46218245044145, 613.1342792438925, 54.54666681552644, 516.969650266138, 142.23961877509163, 829.8935044266395, 451.6980878296554, 722.646791492833, 113.17158624359503, 778.7311418760397, 937.8424576992394, 696.1141418397956, 135.30667419036257, 413.55930509761663, 450.8858548470743, 178.8785789436156, 590.315475289654, 712.6343913063026, 201.9320047091576, 454.6832076473508,), (250.08229407723826, 691.7174283309014, 907.1624630054067, 796.4862224757226, 718.374719718563, 123.54421683543349, 114.16493882407775, 449.3984180247218, 362.94338915725456, 523.8173060661488, 384.0873742615717, 791.0665942370252, 511.6664514845053, 949.7538891427195, 378.67863141257976, 380.60700926114674, 768.2603237843883, 912.2527788221324, 565.4915785141691, 659.5303406020439, 150.08973451051176, 868.8185374782038, 178.86676467326868, 712.0474878796226, 419.58169123576727, 309.5183054369818, 768.6304223609426, 446.2582341490725, 626.4528496615293, 117.55397840247983, 131.57103181208575, 202.8517052794463, 622.5603279873416, 253.11097511803925, 458.64265782853664, 855.4110564190316, 543.5011596043003, 5.750548899053909, 882.7029205371946, 237.87835401947677, 588.8623271843092, 475.71198980315387, 410.15136571135633, 79.40491736841615, 600.1021042955892, 244.71317143863337, 547.3416095831464, 619.7660388695853, 557.5486482688888, 825.2525047036826,), (48.918799943029725, 148.25616817969035, 653.2768782155202, 36.72105182241203, 853.8292872341877, 666.996542946195, 838.014435792606, 298.44154664211777, 920.3846982695362, 49.03136274879905, 416.9569238553582, 178.2483917574228, 672.090495261405, 611.089756048654, 691.5136180806667, 594.9689863047196, 787.3075795335859, 177.4192673436795, 455.3378280202657, 578.9662924422967, 931.4798193860056, 93.12628782176957, 299.2944815965134, 368.56942547507407, 378.9393515904601, 67.66667782099533, 427.3238393910946, 550.4710828134854, 292.83271335673953, 134.54578907805103, 694.619438494801, 274.4185427517334, 527.0527334046208, 524.6462092537088, 695.8294973451716, 612.053744928424, 109.30223443632624, 729.7285197626795, 628.9785990785555, 987.1892637585828, 483.662983209447, 688.6542782543451, 933.8916747881832, 986.2784423441115, 287.1873038042605, 608.8446069344726, 316.48855849847223, 525.3912253315947, 995.0243355575512, 353.85334437419004,)))"
       ]
      },
      "execution_count": 43,
@@ -1750,7 +1752,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Matrix((639.4, ...), ..., (..., 353.9))[100x50]\n"
+      "Matrix((639.4267984578837, ...), ..., (..., 353.85334437419004))[100x50]\n"
      ]
     }
    ],
@@ -1790,7 +1792,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((129.713, 562.634, 519.706, 631.858, 492.504, 179.907, 609.406, 708.587, 979.258, 1.581, 23.987, 625.461, 117.926, 848.070, 799.564, 998.987, 414.041, 333.792, 560.416, 637.504, 11.297, 201.187, 281.627, 790.196, 307.773, 506.690, 323.924, 6.131, 685.836, 341.362, 724.397, 615.993, 29.117, 175.629, 330.515, 337.937, 672.473, 916.163, 797.254, 645.652, 481.496, 627.200, 892.058, 536.968, 335.110, 783.989, 413.953, 742.585, 835.106, 299.344))"
+       "Vector((129.7131375543026, 562.6343376666077, 519.7058001844938, 631.8576074968361, 492.50445371851595, 179.90723165619127, 609.4057577306154, 708.5870675033931, 979.2576595660704, 1.580917225831202, 23.986797518176004, 625.4607423896532, 117.92572392127187, 848.0697885701867, 799.5643512555062, 998.9870072501308, 414.04113952437183, 333.7922569338235, 560.4155049178265, 637.5035435880566, 11.297267978029769, 201.1871389300902, 281.62670325053864, 790.1955028462116, 307.77254924389706, 506.6896270960092, 323.9238393830701, 6.131262435292828, 685.8357886469579, 341.36158523000273, 724.3966428110118, 615.9933429964842, 29.117381811460618, 175.62908823799773, 330.51483209301, 337.936855273543, 672.4729573660214, 916.1630531735751, 797.2543838289249, 645.6522206645749, 481.4955231203607, 627.2004877076889, 892.0583267899182, 536.9675449723645, 335.10965453438513, 783.9890332085388, 413.95306533418574, 742.5846461655369, 835.1057359656187, 299.3437466393607))"
       ]
      },
      "execution_count": 46,
@@ -1815,7 +1817,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Vector(129.7, ..., 299.3)[50]\n"
+      "Vector(129.7131375543026, ..., 299.3437466393607)[50]\n"
      ]
     }
    ],
@@ -1860,7 +1862,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Vector(11378937.3, ..., 13593029.3)[100]\n"
+      "Vector(11378937.3105893, ..., 13593029.305789862)[100]\n"
      ]
     }
    ],
@@ -1905,7 +1907,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Matrix((14370711.3, ...), ..., (..., 16545418.2))[100x100]\n"
+      "Matrix((14370711.265265431, ...), ..., (..., 16545418.239505699))[100x100]\n"
      ]
     }
    ],
@@ -1939,7 +1941,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Matrix((32618511.5, ...), ..., (..., 32339164.8))[50x50]\n"
+      "Matrix((32618511.50703142, ...), ..., (..., 32339164.77803234))[50x50]\n"
      ]
     }
    ],
@@ -2111,7 +2113,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((1.000, 2.000, 3.000))"
+       "Vector((1.0, 2.0, 3.0))"
       ]
      },
      "execution_count": 60,
@@ -2161,7 +2163,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 2.000, 3.000,), (4.000, 5.000, 6.000,), (7.000, 8.000, 9.000,)))"
+       "Matrix(((1.0, 2.0, 3.0,), (4.0, 5.0, 6.0,), (7.0, 8.0, 9.0,)))"
       ]
      },
      "execution_count": 62,
@@ -2419,7 +2421,7 @@
     {
      "data": {
       "text/plain": [
-       "Matrix(((1.000, 4.000, 7.000,), (2.000, 5.000, 8.000,), (3.000, 6.000, 9.000,)))"
+       "Matrix(((1.0, 4.0, 7.0,), (2.0, 5.0, 8.0,), (3.0, 6.0, 9.0,)))"
       ]
      },
      "execution_count": 71,
@@ -2504,7 +2506,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((14.000, 32.000, 50.000))"
+       "Vector((14.0, 32.0, 50.0))"
       ]
      },
      "execution_count": 74,
@@ -2563,7 +2565,7 @@
     {
      "data": {
       "text/plain": [
-       "Vector((10.000, 20.000, 30.000))"
+       "Vector((10.0, 20.0, 30.0))"
       ]
      },
      "execution_count": 76,
diff --git a/11_classes/sample_package/matrix.py b/11_classes/sample_package/matrix.py
index 3c82d26..50a683f 100644
--- a/11_classes/sample_package/matrix.py
+++ b/11_classes/sample_package/matrix.py
@@ -43,7 +43,7 @@ class Matrix:
 
         Example Usage:
             >>> Matrix([(1, 2), (3, 4)])
-            Matrix(((1.000, 2.000,), (3.000, 4.000,)))
+            Matrix(((1.0, 2.0,), (3.0, 4.0,)))
         """
         self._entries = self.storage(
             self.storage(self.typing(x) for x in r) for r in data
@@ -73,7 +73,7 @@ class Matrix:
 
         Example Usage:
             >>> Matrix.from_columns([(1, 2), (3, 4)])
-            Matrix(((1.000, 3.000,), (2.000, 4.000,)))
+            Matrix(((1.0, 3.0,), (2.0, 4.0,)))
         """
         return cls(data).transpose()
 
@@ -89,7 +89,7 @@ class Matrix:
         """Text representation of a Matrix."""
         name = self.__class__.__name__
         args = ", ".join(
-            "(" + ", ".join(f"{c:.3f}" for c in r) + ",)" for r in self._entries
+            "(" + ", ".join(repr(c) for c in r) + ",)" for r in self._entries
         )
         return f"{name}(({args}))"
 
@@ -97,7 +97,7 @@ class Matrix:
         """Human-readable text representation of a Matrix."""
         name = self.__class__.__name__
         first, last, m, n = self[0], self[-1], self.n_rows, self.n_cols
-        return f"{name}(({first:.1f}, ...), ..., (..., {last:.1f}))[{m:d}x{n:d}]"
+        return f"{name}(({first!r}, ...), ..., (..., {last!r}))[{m:d}x{n:d}]"
 
     @property
     def n_rows(self):
@@ -211,13 +211,13 @@ class Matrix:
 
         Example Usage:
             >>> Matrix([(1, 2), (3, 4)]) + Matrix([(2, 3), (4, 5)])
-            Matrix(((3.000, 5.000,), (7.000, 9.000,)))
+            Matrix(((3.0, 5.0,), (7.0, 9.0,)))
 
             >>> Matrix([(1, 2), (3, 4)]) + 5
-            Matrix(((6.000, 7.000,), (8.000, 9.000,)))
+            Matrix(((6.0, 7.0,), (8.0, 9.0,)))
 
             >>> 10 + Matrix([(1, 2), (3, 4)])
-            Matrix(((11.000, 12.000,), (13.000, 14.000,)))
+            Matrix(((11.0, 12.0,), (13.0, 14.0,)))
         """
         # Matrix addition
         if isinstance(other, self.__class__):
@@ -247,13 +247,13 @@ class Matrix:
 
         Example Usage:
             >>> Matrix([(2, 3), (4, 5)]) - Matrix([(1, 2), (3, 4)])
-            Matrix(((1.000, 1.000,), (1.000, 1.000,)))
+            Matrix(((1.0, 1.0,), (1.0, 1.0,)))
 
             >>> Matrix([(1, 2), (3, 4)]) - 1
-            Matrix(((0.000, 1.000,), (2.000, 3.000,)))
+            Matrix(((0.0, 1.0,), (2.0, 3.0,)))
 
             >>> 10 - Matrix([(1, 2), (3, 4)])
-            Matrix(((9.000, 8.000,), (7.000, 6.000,)))
+            Matrix(((9.0, 8.0,), (7.0, 6.0,)))
         """
         # As subtraction is the inverse of addition,
         # we first dispatch to .__neg__() to invert the signs of
@@ -286,23 +286,23 @@ class Matrix:
 
         Example Usage:
             >>> Matrix([(1, 2), (3, 4)]) * Matrix([(1, 2), (3, 4)])
-            Matrix(((7.000, 10.000,), (15.000, 22.000,)))
+            Matrix(((7.0, 10.0,), (15.0, 22.0,)))
 
             >>> 2 * Matrix([(1, 2), (3, 4)])
-            Matrix(((2.000, 4.000,), (6.000, 8.000,)))
+            Matrix(((2.0, 4.0,), (6.0, 8.0,)))
 
             >>> Matrix([(1, 2), (3, 4)]) * 3
-            Matrix(((3.000, 6.000,), (9.000, 12.000,)))
+            Matrix(((3.0, 6.0,), (9.0, 12.0,)))
 
             Matrix-vector and vector-matrix multiplication are not commutative.
 
             >>> from sample_package import Vector
 
             >>> Matrix([(1, 2), (3, 4)]) * Vector([5, 6])
-            Vector((17.000, 39.000))
+            Vector((17.0, 39.0))
 
             >>> Vector([5, 6]) * Matrix([(1, 2), (3, 4)])
-            Vector((23.000, 34.000))
+            Vector((23.0, 34.0))
         """
         # Scalar multiplication
         if isinstance(other, numbers.Number):
@@ -334,7 +334,7 @@ class Matrix:
 
         Example Usage:
             >>> Matrix([(1, 2), (3, 4)]) / 4
-            Matrix(((0.250, 0.500,), (0.750, 1.000,)))
+            Matrix(((0.25, 0.5,), (0.75, 1.0,)))
         """
         # As scalar division division is the same as multiplication
         # with the inverse, we dispatch to .__mul__().
@@ -409,7 +409,7 @@ class Matrix:
 
         Example Usage:
             >>> Matrix([(1, 2, 3)]).as_vector()
-            Vector((1.000, 2.000, 3.000))
+            Vector((1.0, 2.0, 3.0))
         """
         if not (self.n_rows == 1 or self.n_cols == 1):
             raise RuntimeError("one dimension (m or n) must be 1")
@@ -424,9 +424,9 @@ class Matrix:
         Example Usage:
             >>> m = Matrix([(1, 2), (3, 4)])
             >>> m
-            Matrix(((1.000, 2.000,), (3.000, 4.000,)))
+            Matrix(((1.0, 2.0,), (3.0, 4.0,)))
             >>> m.transpose()
-            Matrix(((1.000, 3.000,), (2.000, 4.000,)))
+            Matrix(((1.0, 3.0,), (2.0, 4.0,)))
         """
         return self.__class__(zip(*self._entries))
 
diff --git a/11_classes/sample_package/vector.py b/11_classes/sample_package/vector.py
index 21e3729..e9315c4 100644
--- a/11_classes/sample_package/vector.py
+++ b/11_classes/sample_package/vector.py
@@ -42,10 +42,10 @@ class Vector:
 
         Example Usage:
             >>> Vector([1, 2, 3])
-            Vector((1.000, 2.000, 3.000))
+            Vector((1.0, 2.0, 3.0))
 
             >>> Vector(range(3))
-            Vector((0.000, 1.000, 2.000))
+            Vector((0.0, 1.0, 2.0))
         """
         self._entries = self.storage(self.typing(x) for x in data)
         if len(self) == 0:
@@ -54,14 +54,14 @@ class Vector:
     def __repr__(self):
         """Text representation of a Vector."""
         name = self.__class__.__name__
-        args = ", ".join(f"{x:.3f}" for x in self)
+        args = ", ".join(repr(x) for x in self)
         return f"{name}(({args}))"
 
     def __str__(self):
         """Human-readable text representation of a Vector."""
         name = self.__class__.__name__
         first, last, n_entries = self[0], self[-1], len(self)
-        return f"{name}({first:.1f}, ..., {last:.1f})[{n_entries:d}]"
+        return f"{name}({first!r}, ..., {last!r})[{n_entries:d}]"
 
     def __len__(self):
         """Number of entries in a Vector."""
@@ -88,13 +88,13 @@ class Vector:
 
         Example Usage:
             >>> Vector([1, 2, 3]) + Vector([2, 3, 4])
-            Vector((3.000, 5.000, 7.000))
+            Vector((3.0, 5.0, 7.0))
 
             >>> Vector([1, 2, 3]) + 4
-            Vector((5.000, 6.000, 7.000))
+            Vector((5.0, 6.0, 7.0))
 
             >>> 10 + Vector([1, 2, 3])
-            Vector((11.000, 12.000, 13.000))
+            Vector((11.0, 12.0, 13.0))
         """
         # Vector addition
         if isinstance(other, self.__class__):
@@ -119,13 +119,13 @@ class Vector:
 
         Example Usage:
             >>> Vector([7, 8, 9]) - Vector([1, 2, 3])
-            Vector((6.000, 6.000, 6.000))
+            Vector((6.0, 6.0, 6.0))
 
             >>> Vector([1, 2, 3]) - 1
-            Vector((0.000, 1.000, 2.000))
+            Vector((0.0, 1.0, 2.0))
 
             >>> 10 - Vector([1, 2, 3])
-            Vector((9.000, 8.000, 7.000))
+            Vector((9.0, 8.0, 7.0))
         """
         # As subtraction is the inverse of addition,
         # we first dispatch to .__neg__() to invert the signs of
@@ -148,10 +148,10 @@ class Vector:
             20.0
 
             >>> 2 * Vector([1, 2, 3])
-            Vector((2.000, 4.000, 6.000))
+            Vector((2.0, 4.0, 6.0))
 
             >>> Vector([1, 2, 3]) * 3
-            Vector((3.000, 6.000, 9.000))
+            Vector((3.0, 6.0, 9.0))
         """
         # Dot product
         if isinstance(other, self.__class__):
@@ -176,7 +176,7 @@ class Vector:
 
         Example Usage:
             >>> Vector([9, 6, 12]) / 3
-            Vector((3.000, 2.000, 4.000))
+            Vector((3.0, 2.0, 4.0))
         """
         # As scalar division division is the same as multiplication
         # with the inverse, we dispatch to .__mul__().
@@ -253,9 +253,9 @@ class Vector:
         Example Usage:
             >>> v = Vector([1, 2, 3])
             >>> v.as_matrix()
-            Matrix(((1.000,), (2.000,), (3.000,)))
+            Matrix(((1.0,), (2.0,), (3.0,)))
             >>> v.as_matrix(column=False)
-            Matrix(((1.000, 2.000, 3.000,)))
+            Matrix(((1.0, 2.0, 3.0,)))
         """
         if column:
             return self.matrix_cls([x] for x in self)