diff --git a/0_python/0-ipython_notebook.ipynb b/0_python/0-ipython_notebook.ipynb index 5cd577a..809f982 100644 --- a/0_python/0-ipython_notebook.ipynb +++ b/0_python/0-ipython_notebook.ipynb @@ -34,7 +34,7 @@ "\n", "当然，也可以通过 `pip` 来安装 \n", "```\n", - "pip install jupyter。\n", + "pip install jupyter\n", "```\n", "\n", "安装后便可在终端中输入以下命令启动：\n", @@ -57,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "podoc": { "output_text": "Screenshot of a Jupyter notebook" @@ -78,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -87,7 +87,7 @@ "4" ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -98,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -107,7 +107,7 @@ "12" ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -118,7 +118,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -141,19 +141,17 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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2b9KOKQwzu740IfdpM3vAzLrSjqkeMxsyswNm9nTFsYVmts3M9pnZVjNbkGaM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\npGQhIiKB/j/5Q1J9vJNhTwAAAABJRU5ErkJggg==\n", "text/plain": [ - "
" + "" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], diff --git a/0_python/1_Basics.ipynb b/0_python/1_Basics.ipynb index d0f194d..99e5bfd 100644 --- a/0_python/1_Basics.ipynb +++ b/0_python/1_Basics.ipynb @@ -16,37 +16,37 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['.ipynb_checkpoints',\n", - " 'Python.pdf',\n", + "['0-ipython_notebook_EN.ipynb',\n", " '1_Basics_EN.ipynb',\n", " '2_Print_Statement_EN.ipynb',\n", + " '3_Data_Structure_1_EN.ipynb',\n", " '4_Data_Structure_2_EN.ipynb',\n", " '5_Control_Flow_EN.ipynb',\n", " '6_Function_EN.ipynb',\n", - " '3_Data_Structure_1_EN.ipynb',\n", " '7_Class_EN.ipynb',\n", + " 'Python.pdf',\n", + " 'README_ENG.md',\n", " 'images',\n", - " '0-ipython_notebook_EN.ipynb',\n", " 'test.txt',\n", - " 'README_ENG.md',\n", + " '.ipynb_checkpoints',\n", " '0-ipython_notebook.ipynb',\n", - " '1_Basics.ipynb',\n", " '2_Print_Statement.ipynb',\n", " '3_Data_Structure_1.ipynb',\n", " '4_Data_Structure_2.ipynb',\n", " '5_Control_Flow.ipynb',\n", " '6_Function.ipynb',\n", " '7_Class.ipynb',\n", - " 'README.md']" + " 'README.md',\n", + " '1_Basics.ipynb']" ] }, - "execution_count": 1, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -134,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": { "collapsed": true }, @@ -147,7 +147,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -171,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "collapsed": true }, @@ -182,7 +182,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -228,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -237,7 +237,7 @@ "3" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -248,7 +248,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -257,7 +257,7 @@ "1" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -268,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -277,7 +277,7 @@ "2" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -288,7 +288,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -297,7 +297,7 @@ "0.5" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -315,7 +315,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -324,7 +324,7 @@ "0.5" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -335,7 +335,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -344,7 +344,7 @@ "0.5" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -355,7 +355,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -364,7 +364,7 @@ "5" ] }, - "execution_count": 14, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -382,7 +382,27 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "9 // 2" + ] + }, + { + "cell_type": "code", + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -391,7 +411,7 @@ "1.0" ] }, - "execution_count": 15, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -423,7 +443,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 23, "metadata": { "collapsed": true }, @@ -434,7 +454,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -443,7 +463,7 @@ "True" ] }, - "execution_count": 17, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -454,7 +474,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -463,7 +483,7 @@ "False" ] }, - "execution_count": 18, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -495,7 +515,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 26, "metadata": { "collapsed": true }, @@ -507,7 +527,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -526,7 +546,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -535,7 +555,7 @@ "2" ] }, - "execution_count": 22, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -557,7 +577,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -566,7 +586,7 @@ "10" ] }, - "execution_count": 23, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -616,7 +636,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -625,7 +645,7 @@ "'0xaa'" ] }, - "execution_count": 24, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -636,7 +656,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -645,7 +665,7 @@ "170" ] }, - "execution_count": 25, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -656,7 +676,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -665,7 +685,7 @@ "'0o10'" ] }, - "execution_count": 26, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -683,7 +703,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -711,7 +731,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -737,7 +757,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -746,7 +766,7 @@ "'b'" ] }, - "execution_count": 29, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -757,7 +777,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -766,7 +786,7 @@ "98" ] }, - "execution_count": 30, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -791,7 +811,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 38, "metadata": { "scrolled": false }, @@ -819,7 +839,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -844,7 +864,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -853,7 +873,7 @@ "(4, 1)" ] }, - "execution_count": 34, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -871,7 +891,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 41, "metadata": {}, "outputs": [ { @@ -899,7 +919,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -908,7 +928,7 @@ "int" ] }, - "execution_count": 1, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -919,7 +939,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -928,7 +948,7 @@ "type" ] }, - "execution_count": 2, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -946,7 +966,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1007,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -1024,7 +1044,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 50, "metadata": {}, "outputs": [ { @@ -1033,7 +1053,7 @@ "str" ] }, - "execution_count": 40, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } diff --git a/0_python/2_Print_Statement.ipynb b/0_python/2_Print_Statement.ipynb index 64e88bf..43057ed 100644 --- a/0_python/2_Print_Statement.ipynb +++ b/0_python/2_Print_Statement.ipynb @@ -63,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -86,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -114,7 +114,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": { "scrolled": true }, @@ -145,7 +145,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -176,7 +176,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -209,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -236,7 +236,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "当引用多个变量时使用圆括号。" + "**NOTE: 当引用多个变量时使用圆括号。**" ] }, { @@ -270,23 +270,6 @@ "下面是使用print语句的其他不同方式。" ] }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "I want to be printed here\n" - ] - } - ], - "source": [ - "print(\"I want to be printed %s\" % 'here')" - ] - }, { "cell_type": "code", "execution_count": 14, @@ -330,7 +313,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -354,7 +337,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -371,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -380,7 +363,7 @@ "text": [ "\n", "Routine:\n", - "\t- Eat\n", + "\t- Eat (\\t)\n", "\t- Sleep\n", "\t- Repeat\n", "\n" @@ -390,7 +373,7 @@ "source": [ "print(\"\"\"\n", "Routine:\n", - "\\t- Eat\n", + "\\t- Eat (\\\\t)\n", "\\t- Sleep\\n\\t- Repeat\n", "\"\"\")" ] @@ -413,7 +396,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -422,7 +405,7 @@ "'3.121312'" ] }, - "execution_count": 19, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -440,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -449,7 +432,7 @@ "'3.12131'" ] }, - "execution_count": 20, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -467,7 +450,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -476,7 +459,7 @@ "'-33.12131'" ] }, - "execution_count": 21, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -494,7 +477,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -503,7 +486,7 @@ "'00000000000003.12131'" ] }, - "execution_count": 22, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -521,7 +504,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -547,7 +530,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 30, "metadata": {}, "outputs": [ { diff --git a/0_python/3_Data_Structure_1.ipynb b/0_python/3_Data_Structure_1.ipynb index 6e243a5..34ebe5c 100644 --- a/0_python/3_Data_Structure_1.ipynb +++ b/0_python/3_Data_Structure_1.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": { "collapsed": true }, @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -69,7 +69,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -96,7 +96,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "在Python中，索引从`0`开始。因此，现在包含两个元素的列表`x`的apple索引值为`0`,orange索引值为`1`。" + "**MOTE: 在Python中，索引从`0`开始。**\n", + "\n", + "因此，现在包含两个元素的列表`x`的apple索引值为`0`，orange索引值为`1`。" ] }, { @@ -128,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -137,7 +139,7 @@ "'peach'" ] }, - "execution_count": 6, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -155,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 13, "metadata": { "collapsed": true }, @@ -168,12 +170,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "在这里我们已经声明过两个列表`x`和`y`每一个包含自己的数据。现在，这两个列表可以再一次被放入另一个也具有自己的数据的列表`z`中。列表中的这个列表被称为`嵌套列表`，这就是数组的声明方式，我们将在后面看到。**这是和很多其他计算机语言不同的地方，不要求列表的元素是相同类型，因此编程的时候会非常方便，这也是为什么Python对人类比较友好**" + "在这里我们已经声明过两个列表`x`和`y`每一个包含自己的数据。现在，这两个列表可以再一次被放入另一个也具有自己的数据的列表`z`中。列表中的这个列表被称为`嵌套列表`，这就是数组的声明方式，我们将在后面看到。**这是和很多其他计算机语言不同的地方，不要求列表的元素是相同类型，因此编程的时候会非常方便，这也是为什么Python对人类比较友好的原因。**" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -191,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -200,7 +202,7 @@ "'orange'" ] }, - "execution_count": 9, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -220,7 +222,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -245,7 +247,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -254,7 +256,7 @@ "'apple'" ] }, - "execution_count": 11, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -272,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -281,7 +283,7 @@ "'apple'" ] }, - "execution_count": 12, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -315,22 +317,22 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[3, 2, 3]\n", - "[2, 3, 2, 3, 4, 5, 6, 7, 8, 9]\n", - "[2, 3, 2, 3, 4, 5, 6, 7, 8, 9]\n", - "[2, 3, 2, 3, 4, 5, 6, 7, 8, 9]\n" + "[2, 3, 4]\n", + "[1, 2, 3, 4, 5, 6, 7, 8, 9]\n", + "[1, 2, 3, 4, 5, 6, 7, 8, 9]\n", + "[1, 2, 3, 4, 5, 6, 7, 8, 9]\n" ] } ], "source": [ - "num = [2,3,2,3,4,5,6,7,8,9]\n", + "num = [1,2,3,4,5,6,7,8,9]\n", "print(num[1:4])\n", "print(num[0:])\n", "print(num[:])\n", @@ -339,15 +341,15 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[2, 3, 2, 3]\n", - "[4, 5, 6, 7, 8, 9]\n" + "[1, 2, 3, 4]\n", + "[5, 6, 7, 8, 9]\n" ] } ], @@ -365,22 +367,22 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[2, 3, 6]" + "[1, 4, 7]" ] }, - "execution_count": 15, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "num[:9:3]" + "num[0:9:3]" ] }, { @@ -399,16 +401,16 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "10" + "9" ] }, - "execution_count": 16, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -426,23 +428,23 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[2, 3, 2, 3, 4, 5, 6, 7, 8, 9]\n" + "[1, 2, 3, 4, 5, 6, 7, 8, 9]\n" ] }, { "data": { "text/plain": [ - "2" + "1" ] }, - "execution_count": 17, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -454,7 +456,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -463,7 +465,7 @@ "9" ] }, - "execution_count": 18, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -481,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -490,7 +492,7 @@ "[1, 2, 3, 5, 4, 7]" ] }, - "execution_count": 19, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -503,12 +505,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "可能会出现这样的需求，您可能需要检查预定义列表中是否存在特定的元素。考虑下面的列表。" + "可能会出现这样的需求，需要检查预定义列表中是否存在特定的元素。考虑下面的列表。" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 31, "metadata": { "collapsed": true }, @@ -526,7 +528,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -535,7 +537,7 @@ "False" ] }, - "execution_count": 21, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -546,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -555,7 +557,7 @@ "True" ] }, - "execution_count": 22, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -566,7 +568,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -575,7 +577,7 @@ "False" ] }, - "execution_count": 23, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -593,7 +595,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 35, "metadata": { "collapsed": true }, @@ -604,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -630,7 +632,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 37, "metadata": { "collapsed": true }, @@ -674,7 +676,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 38, "metadata": {}, "outputs": [ { @@ -705,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -714,7 +716,7 @@ "['h', 'e', 'l', 'l', 'o']" ] }, - "execution_count": 30, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -732,7 +734,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 40, "metadata": { "collapsed": true }, @@ -743,14 +745,14 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 4, 8, 7, 1]\n" + "[1, 1, 4, 8, 7, 1, 1, 1]\n" ] } ], @@ -768,22 +770,22 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "3" + "0" ] }, - "execution_count": 35, + "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "lst.count(1)" + "lst.count(999)" ] }, { @@ -795,7 +797,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 45, "metadata": { "collapsed": true }, @@ -806,14 +808,14 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 4, 8, 7, 1, [5, 4, 2, 8]]\n" + "[1, 1, 4, 8, 7, 1, 1, 1, [5, 4, 2, 8]]\n" ] } ], @@ -831,14 +833,14 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 47, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 4, 8, 7, 1, [5, 4, 2, 8], 5, 4, 2, 8]\n" + "[1, 1, 4, 8, 7, 1, 1, 1, [5, 4, 2, 8], 5, 4, 2, 8]\n" ] } ], @@ -856,7 +858,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 48, "metadata": {}, "outputs": [ { @@ -865,7 +867,7 @@ "0" ] }, - "execution_count": 39, + "execution_count": 48, "metadata": {}, "output_type": "execute_result" } @@ -876,7 +878,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 51, "metadata": {}, "outputs": [ { @@ -886,7 +888,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlst\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m999\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlst\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m999\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mValueError\u001b[0m: 999 is not in list" ] } @@ -904,14 +906,14 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 52, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 4, 8, 7, 'name', 1, [5, 4, 2, 8], 5, 4, 2, 8]\n" + "[1, 1, 4, 8, 7, 'name', 1, 1, 1, [5, 4, 2, 8], 5, 4, 2, 8]\n" ] } ], @@ -922,7 +924,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 53, "metadata": { "collapsed": true }, @@ -933,14 +935,62 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1, 1, 4, 8, 7, 'name', 1, 1, 1, [5, 4, 2, 8], 5, 4, 2, 10, 8]\n" + ] + } + ], + "source": [ + "print(lst)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "15" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(lst)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "lst.insert(15, 20)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 4, 8, 7, 'name', 1, [5, 4, 2, 8], 5, 4, 2, 10, 8]\n" + "[1, 1, 4, 8, 7, 'name', 1, 1, 1, [5, 4, 2, 8], 5, 4, 2, 10, 8, 20]\n" ] } ], @@ -957,14 +1007,14 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 58, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 4, 8, 7, 'Python', 1, [5, 4, 2, 8], 5, 4, 2, 10, 8]\n" + "[1, 1, 4, 8, 7, 'Python', 1, 1, 1, [5, 4, 2, 8], 5, 4, 2, 10, 8, 20]\n" ] } ], @@ -982,16 +1032,16 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[1, 1, 4, 8, 7, 'Python', 1, [5, 4, 2, 8], 5]" + "[1, 1, 4, 8, 7, 'Python', 1, 1, 1, [5, 4, 2, 8], 5, 4, 2]" ] }, - "execution_count": 48, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } @@ -1028,23 +1078,23 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 62, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 8, 7, 'Python', 1, [5, 4, 2, 8], 5]\n" + "[1, 1, 4, 8, 7, 'Python', 1, 1, 1, [5, 4, 2, 8], 5, 4, 2]\n" ] }, { "data": { "text/plain": [ - "[5, 4, 2, 8]" + "4" ] }, - "execution_count": 50, + "execution_count": 62, "metadata": {}, "output_type": "execute_result" } @@ -1056,14 +1106,14 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 63, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 8, 7, 'Python', 1, 5]\n" + "[1, 1, 4, 8, 7, 'Python', 1, 1, 1, [5, 4, 2, 8], 5, 2]\n" ] } ], @@ -1080,14 +1130,14 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 64, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 1, 8, 7, 1, 5]\n" + "[1, 1, 4, 8, 7, 1, 1, 1, [5, 4, 2, 8], 5, 2]\n" ] } ], @@ -1105,15 +1155,17 @@ }, { "cell_type": "code", - "execution_count": 56, - "metadata": {}, + "execution_count": 66, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 7, 1, 5]\n", - "[1, 1, 5]\n" + "[1, 1, 4, 8, 7, 1, 1, 1, [5, 4, 2, 8], 5, 2]\n", + "[1, 4, 8, 7, 1, 1, 1, [5, 4, 2, 8], 5, 2]\n" ] } ], @@ -1123,6 +1175,24 @@ "print(lst)" ] }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1, 1, 1, 1, [5, 4, 2, 8], 5, 2]\n" + ] + } + ], + "source": [ + "del(lst[1:4])\n", + "print(lst)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1132,14 +1202,14 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 68, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[5, 1, 1]\n" + "[2, 5, [5, 4, 2, 8], 1, 1, 1, 1]\n" ] } ], @@ -1159,19 +1229,19 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 70, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1, 4, 8, 8, 10]\n" + "[1, 4, 7, 8, 8, 10]\n" ] } ], "source": [ - "lst = [1, 4, 8, 8, 10]\n", + "lst = [8, 7, 1, 4, 8, 10]\n", "lst.sort()\n", "print(lst)" ] @@ -1210,7 +1280,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 74, "metadata": {}, "outputs": [ { @@ -1239,7 +1309,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -1274,7 +1344,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 75, "metadata": { "collapsed": true }, @@ -1285,7 +1355,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 76, "metadata": {}, "outputs": [ { @@ -1310,7 +1380,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 77, "metadata": {}, "outputs": [ { @@ -1331,7 +1401,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 78, "metadata": {}, "outputs": [ { @@ -1357,7 +1427,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 79, "metadata": { "collapsed": true }, @@ -1368,7 +1438,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 80, "metadata": {}, "outputs": [ { @@ -1386,7 +1456,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -1407,7 +1477,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -1445,7 +1515,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 84, "metadata": {}, "outputs": [ { @@ -1463,7 +1533,7 @@ "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxyz\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[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxyz\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----> 4\u001b[0;31m \u001b[0mxyz\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxyz\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[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxyz\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mxyz\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment" ] } @@ -1491,7 +1561,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 85, "metadata": { "collapsed": true }, @@ -1621,7 +1691,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 90, "metadata": { "collapsed": true }, @@ -1632,7 +1702,7 @@ }, { "cell_type": "code", - "execution_count": 80, + "execution_count": 91, "metadata": {}, "outputs": [ { @@ -1649,7 +1719,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 92, "metadata": { "collapsed": true }, @@ -1660,7 +1730,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 93, "metadata": {}, "outputs": [ { @@ -1692,7 +1762,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 94, "metadata": {}, "outputs": [ { @@ -1701,7 +1771,7 @@ "3" ] }, - "execution_count": 83, + "execution_count": 94, "metadata": {}, "output_type": "execute_result" } @@ -1719,7 +1789,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 95, "metadata": {}, "outputs": [ { @@ -1728,7 +1798,7 @@ "1" ] }, - "execution_count": 84, + "execution_count": 95, "metadata": {}, "output_type": "execute_result" } diff --git a/0_python/4_Data_Structure_2.ipynb b/0_python/4_Data_Structure_2.ipynb index a2d9974..3393eba 100644 --- a/0_python/4_Data_Structure_2.ipynb +++ b/0_python/4_Data_Structure_2.ipynb @@ -19,7 +19,9 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "String0 = 'Taj Mahal is beautiful'\n", @@ -665,7 +667,9 @@ { "cell_type": "code", "execution_count": 25, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "f = ' hello '" @@ -708,7 +712,9 @@ { "cell_type": "code", "execution_count": 30, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "f = ' ***----hello---******* '" @@ -904,7 +910,9 @@ { "cell_type": "code", "execution_count": 39, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "names = ['One', 'Two', 'Three', 'Four', 'Five']\n", @@ -1192,7 +1200,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.5.4" } }, "nbformat": 4, diff --git a/0_python/5_Control_Flow.ipynb b/0_python/5_Control_Flow.ipynb index 88faad8..0efd00e 100644 --- a/0_python/5_Control_Flow.ipynb +++ b/0_python/5_Control_Flow.ipynb @@ -49,7 +49,9 @@ { "cell_type": "code", "execution_count": 2, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "x = 4\n", @@ -648,7 +650,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.9" + "version": "3.5.4" } }, "nbformat": 4, diff --git a/0_python/README.md b/0_python/README.md index 099cf0c..4b6ef80 100644 --- a/0_python/README.md +++ b/0_python/README.md @@ -37,7 +37,7 @@ Python 是一门上手简单、功能强大、通用型的脚本编程语言。 ## 参考资料 ### 视频教程 -* [《90分钟学会Python》](https://www.bilibili.com/video/BV1Uz4y167xY) +* [《90分钟学会Python》](https://www.bilibili.com/video/BV1oZ4y1N7ei?p=9) （推荐） * [《零基础入门学习Python》教学视频](https://www.bilibili.com/video/BV1c4411e77t) ### 教程