Add label tools

0_python/4_Data_Structure_2.ipynb

@@ -807,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -833,7 +833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -877,7 +877,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -901,7 +901,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -918,7 +918,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -936,7 +936,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -997,7 +997,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1023,7 +1023,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -1067,7 +1067,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1076,7 +1076,7 @@
        "dict_values([1, 2, 3, 4, 5])"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1094,7 +1094,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1103,7 +1103,7 @@
        "dict_keys(['One', 'Two', 'Three', 'Four', 'Five'])"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1121,7 +1121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -1152,7 +1152,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1160,9 +1160,9 @@
      "evalue": "pop expected at least 1 arguments, got 0",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;31m------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-51-a0907f1327c5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\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[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-13-a0907f1327c5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ma1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\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[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mTypeError\u001b[0m: pop expected at least 1 arguments, got 0"
      ]
     }
@@ -1190,7 +1190,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.7.9"
   }
  },
  "nbformat": 4,

0_python/5_Control_Flow.ipynb

@@ -489,7 +489,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -498,7 +498,7 @@
        "[27, 54, 81, 108, 135, 162, 189, 216, 243, 270]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }

0_python/6_Function.ipynb

@@ -67,7 +67,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -118,14 +118,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Please enter your name : hello\n"
+      "Please enter your name : Python\n"
      ]
     }
    ],
@@ -142,15 +142,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Hey hello!\n",
-      "hello, How do you do?\n"
+      "Hey Python!\n",
+      "Python, How do you do?\n"
      ]
     }
    ],
@@ -167,7 +167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -181,9 +181,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Please enter your name : Joe\n",
+      "Hey Joe!\n",
+      "Joe, How do you do?\n"
+     ]
+    }
+   ],
    "source": [
     "second_func()"
    ]
@@ -204,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -222,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -254,7 +264,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -265,7 +275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -290,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -311,7 +321,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -327,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -336,7 +346,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -357,7 +367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -410,7 +420,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -434,7 +444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -443,7 +453,7 @@
        "7"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -461,7 +471,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -470,7 +480,7 @@
        "8"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -481,7 +491,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -490,7 +500,7 @@
        "11"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -515,7 +525,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -537,7 +547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -553,7 +563,7 @@
        "15"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -564,7 +574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -580,7 +590,7 @@
        "6"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -591,7 +601,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -607,7 +617,7 @@
        "60"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -640,7 +650,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -656,7 +666,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -676,7 +686,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -722,7 +732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -731,7 +741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -740,7 +750,7 @@
        "64"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -751,7 +761,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -760,7 +770,7 @@
        "(6, 8)"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -772,7 +782,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -781,7 +791,7 @@
        "function"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -792,7 +802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -801,7 +811,7 @@
        "function"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -829,7 +839,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -838,7 +848,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -856,7 +866,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -881,7 +891,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -890,7 +900,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -947,7 +957,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -963,7 +973,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -988,16 +998,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<map at 0x7fd7546882b0>"
+       "<map at 0x7ff0482c5d50>"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }

0_python/7_Class.ipynb

@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -77,7 +77,7 @@
        "__main__.FirstClass"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -131,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -139,9 +139,9 @@
      "evalue": "'FirstClass' object has no attribute 'init'",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;31m------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-6-d15e7b8e3d78>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0meg0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFirstClass\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;32m----> 2\u001b[0;31m \u001b[0meg0\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minit\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[0m",
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-4-d15e7b8e3d78>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0meg0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mFirstClass\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;32m----> 2\u001b[0;31m \u001b[0meg0\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minit\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[0m",
       "\u001b[0;31mAttributeError\u001b[0m: 'FirstClass' object has no attribute 'init'"
      ]
     }
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -190,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -200,7 +200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -228,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {
     "scrolled": false
    },
@@ -265,7 +265,7 @@
        " 'class_var']"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -358,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -377,7 +377,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -395,9 +395,9 @@
      "evalue": "'FirstClass' object has no attribute 'name'",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;31m------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0mTraceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-18-4ab7dec1c737>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0meg1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meg1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msymbol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0meg2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meg2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msymbol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-16-4ab7dec1c737>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0meg1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meg1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msymbol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0meg2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0meg2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msymbol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mAttributeError\u001b[0m: 'FirstClass' object has no attribute 'name'"
      ]
     }
@@ -416,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -452,7 +452,7 @@
        " 's']"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -463,7 +463,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -614,7 +614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -634,7 +634,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -678,7 +678,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -696,7 +696,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -705,7 +705,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -792,7 +792,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -807,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -816,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -833,7 +833,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -868,7 +868,7 @@
        " 'salary']"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -886,7 +886,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -904,7 +904,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -913,7 +913,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -986,7 +986,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -998,7 +998,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1007,7 +1007,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1043,7 +1043,7 @@
        " 'salary']"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1054,7 +1054,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -1080,7 +1080,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1132,7 +1132,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1149,7 +1149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1158,7 +1158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
@@ -1183,7 +1183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -1201,7 +1201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -1226,7 +1226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [],
    "source": [

1_numpy_matplotlib_scipy_sympy/random-matrix.csv

@@ -1,3 +1,3 @@
-0.23335 0.09866 0.05722
-0.69545 0.53988 0.70583
-0.74875 0.09428 0.78592
+0.89021 0.18805 0.20553
+0.18647 0.66981 0.76891
+0.14441 0.68758 0.21190

References.md

@@ -10,14 +10,19 @@
 * [形象直观了解谷歌大脑新型优化器LAMB](https://www.toutiao.com/i6687162064395305475/)
 * [5种常用的交叉验证技术，保证评估模型的稳定性](https://m.toutiaocdn.com/i6838062457596936718)
 * 22 个神经网络结构设计/可视化工具
-	
 	- https://www.toutiao.com/i6836884346155041292/
 - https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
 	
 * CNN 可视化工具 https://m.toutiaocdn.com/group/6822123587156050435
 	- https://poloclub.github.io/cnn-explainer/
 	- https://github.com/poloclub/cnn-explainer
-	
+
+* 打标签工具
+	- [Label Studio](https://labelstud.io/)
+		- Demo video https://www.bilibili.com/video/BV1dL41147KE
+		- Documents https://labelstud.io/guide/
+	- [LabelImg](https://github.com/tzutalin/labelImg)
+
 * 一款图像转卡通的Python项目，超级值得你练手
 	- https://www.toutiao.com/a6821299115175969287/
 	- https://github.com/minivision-ai/photo2cartoon