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pull/5/head
bushuhui 4 years ago
parent
83aa2d580c
commit
67678f1a98
8 changed files with 367 additions and 353 deletions
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  1. +18
    -18
      0_python/4_Data_Structure_2.ipynb
  2. +2
    -2
      0_python/5_Control_Flow.ipynb
  3. +65
    -55
      0_python/6_Function.ipynb
  4. +47
    -47
      0_python/7_Class.ipynb
  5. +225
    -226
      1_numpy_matplotlib_scipy_sympy/1-numpy_tutorial.ipynb
  6. +3
    -3
      1_numpy_matplotlib_scipy_sympy/random-matrix.csv
  7. BIN
      1_numpy_matplotlib_scipy_sympy/random-matrix.npy
  8. +7
    -2
      References.md

+ 18
- 18
0_python/4_Data_Structure_2.ipynb View File

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


+ 2
- 2
0_python/5_Control_Flow.ipynb View File

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


+ 65
- 55
0_python/6_Function.ipynb View File

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


+ 47
- 47
0_python/7_Class.ipynb View File

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


+ 225
- 226
1_numpy_matplotlib_scipy_sympy/1-numpy_tutorial.ipynb
File diff suppressed because it is too large
View File


+ 3
- 3
1_numpy_matplotlib_scipy_sympy/random-matrix.csv View File

@@ -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

BIN
1_numpy_matplotlib_scipy_sympy/random-matrix.npy View File


+ 7
- 2
References.md View File

@@ -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/) * [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) * [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 * 22 个神经网络结构设计/可视化工具
- https://www.toutiao.com/i6836884346155041292/ - https://www.toutiao.com/i6836884346155041292/
- https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network - 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 * CNN 可视化工具 https://m.toutiaocdn.com/group/6822123587156050435
- https://poloclub.github.io/cnn-explainer/ - https://poloclub.github.io/cnn-explainer/
- https://github.com/poloclub/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 * 一款图像转卡通的Python项目，超级值得你练手
- https://www.toutiao.com/a6821299115175969287/ - https://www.toutiao.com/a6821299115175969287/
- https://github.com/minivision-ai/photo2cartoon - https://github.com/minivision-ai/photo2cartoon


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