python-python基础3
阅读原文时间:2023年07月12日阅读:1

本章内容:

  1. 函数
  2. 递归
  3. 高阶函数

一、函数

一个函数一般完成一项特定的功能

函数使用

    函数需要先定义

    使用函数,调用

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" alt="">

看语句块是否属于函数,看缩进

函数的参数和返回值

    参数:负责给函数传递一些必要的数据或者信息

        形参(形式参数):在函数定义的时候用到的参数没有具体值,只是一个占位符

        实参(实际参数):在调用函数的时候输入的值

    返回值:函数的执行结果

        使用return关键字

        如果没有return,默认返回一个None

        函数一旦执行return语句,则无条件返回,即结束函数的执行

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" 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" 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" 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" 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参数分类:

    普通参数

    默认参数

    关键字参数

    收集参数

普通参数

    定义的时候直接定义变量名

    调用的时候直接把变量或者值放入指定位置

        def 函数名 (参数1,参数2,……):

            函数体

        调用:

        函数名 (value1,value2,……):

        调用的时候,具体值参考的是位置,按位置赋值

默认参数

    形参带有默认值

    调用的时候,如果没有对相应形参赋值,则使用默认值

        def func_name(p1=v1,p2=v2……):

            func_block

        调用1

        func_name()

        调用2

        value1 = 100

        value2 = 200

        func_name(value1,value2)

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mXLcYL0/W6sd2CD2WM8cFwMVxPZ7jevnrbpc35zSW6kCiZj9Yu0BqzsiZva3KslTv6+atPwNEvkD56FzBaXzTdbBz34nO2PXvk21vDkTY/ui3RObLWp2f66pAr7W7Z5RpbSI+MWWmvqy3DxXDtYl7OOKm0jNqam2m+yEx/r5mxs+lT6sNepvFsfZ9pT8RYRNLM1F3LE60vmm7Ltr1aWVtquLastfnT2GxZVi/m6Zy7Zv7t1RO9bjenvBCmy3UNQnTsSBdjhOFiuBiu+9tj3uZ3zUYN1pGLmuhEOLqTdcY+RPu6RbpI/yNptmjLUka0vmi6Ldv2amVtqeHastbmP4PhOgMfjAXDdQYOtSFmXp5RJ4aL4TrUcN13mfKfX48vJNfuny3patfzz0t50s/SevPBOmu4WrtbrYXw6CJp2W1qGaNempmdkVY7R/qQt63U1lb7I+lLO3JpvjXtzbXbOg6t/t3rLvUt/bx2vRTzpe2RMqM3tR57e8WhxXStTaOcpeO418+a3j1+01jkcRnleoalPD4jYyXKyK/z9ceHW+lRwtLcWzpqmH+2/P5pjp8scyRv2s9S3aV7SppupK48X0Tj1vHMlt69Y52M6OsagAhX0mwXf4aL4TrUcC0G6IubV/Y3WbnRencjK/wNV8mcRfKli4DZiSVdnJQWKvlnaxYze5XfMhCtRfuIZi0dZq/1zEjavqjukXhtGYde32t8RdrZMgClBwKzZY48XNgyDj02e/1pjd3otdYY6NW/8JuX0WOixnUv3+hcNTK+R9PWFvL556XfayZtMTXp//N/l36vfda6P5TMVC196fjk8lnraGX0QWBLs5HyW7qW4htt3ygb0m+3yKflebRkuBiuUxqu1iRR+lus/LNImi9M35McKWwZo+hCtrdIjZiU2bqWfKWFYf6UvbQIXdJE2tgyY0cvkiM3vbT/NQOztwnIYzAa5z34LOkSjV/P8ET17JXTa09Lx1HzHjFVoyy1DHOE3Zk0awxXa/FfMjKpEartHo3u5PSM4WLiasasZrhau1E9nWs7gy0j2KtvVJdeG10/jwEQi2NjwXAxXAzXE/0NV28B3Ltem2BbC+URg9abwFuGq7dojZiQ0f5F+hZZEC/mLmoES2ay1L/e4nqmvpEye/Fs9SOiba/83o5MK96RuB1huHpmZs92tviI1NuLz5rrRxuu1k7PYo5q/Yns/IzuMkV2uEb07e1kRfrQMrKj10baLu2xC396P0ZvhovhYrga38MVmZhGF7Czpqi0qF+70J9ZDNbaEdFqpg+93YWoWYzq3qtvtg8z7Rxha4v+RfreinNkEb9FO0fbUON8b8MV0XNUs1km1rQlGrM0LrWdpCXNkYYruhvV4qpXRs/w5P2OGK68zBnNRnaoen3M4xud86V7zAKf7ufSneFiuB5iuEovsGi9UOPTE8jKCzfyspovx/hcxpZP62oLpugCOzIp3svKf9JFZHotUl6eprQYq9W3h+FaylzqLLWvpEGvjbO61PK14pD3Ie1LrV+1GJb6VWpTrz0tHWuaz2i2F5+j/SvFoKdBer3V9z3akse/1pacn6jeJb6iY63Vtsgc0zJckWNspaN4tXxp2tTIlAxL6dhdaoYipiYvo3aUL2/vaDtHDWxJnxmte6b40/14xTH8CD/SnMssiMf6eDBcDNdDDNdZB+/MTaS3mC4tos7W/6P6MPOk/Gxazbbnyn2f1WwmX2QnZ6ZcedYvOJ5dw5n7w5Z9nql/ZNcqN3i1ts+0Y0sdlGUsPiMDDBfDdajhau0+PeMA0ubYxD+za/Iq2o6Y2Vfp86P7cWXeHq29+mNz4ohOveOZvbJau3q9vK5vH0+aXlNThovhOtRwmWiuOdGIu7hjAAMYwAAGMHBVBhguhovh+vzSjKtOAvrtBogBDGAAAxjAAAb2Y4DhYrgYLoYLAxjAAAYwgAEMYAADOzHAcDFcBtdOg8uTov2eFNGWthjAAAYwgAEMPAsDDBfDxXAxXBjAAAYwgAEMYAADGNiJAYaL4TK4dhpcz/LURTs9IcQABjCAAQxgAAP7McBwMVwNw/Xd7esvvmz469t3zAmDigEMYAADGMAABjCAgTADDBfDFYBlMV4Ml6c/+z39oS1tMYABDGAAAxh4RQYYLobrYYZr7Zc5vuKA1Cc3GgxgAAMYwAAGMPBaDDBcDNdHw9U7Oljb4crzvd3evkp3wdrlMlyvNZm4OYgnBjCAAQxgAAMYeM8Aw3V5w5WbqZK5inzWK8exRBOQmxAGMIABDGAAAxi4HgMMF8OVvRjjvktV26nK/4Yr3cFqXVvKzMu93oAzyYo5BjCAAQxgAAMYuBYDDBfD9dlwtV6I0dudiuyAXWtgmUjFGwMYwAAGMIABDGDgzgDDxXBlhitqnkaPEL4v199wmYTciDCAAQxgAAMYwMCrM8BwXd5w3Qd57eUWpZdiLMcCey/MaJX7y8TCcJlgX32C1T+MYwADGMAABjDAcDFcgdfCGygmSwxgAAMYwAAGMIABDMwwwHAxXAyXb0rHAAYwgAEMYAADGMDATgwwXAyXwbXT4Jp5AiKPJ2cYwAAGMIABDGDgtRhguBguhovhwgAGMIABDGAAAxjAwE4MMFwMl8G10+DydOq1nk6Jp3hiAAMYwAAGMDDDAMPFcDFcDBcGMIABDGAAAxjAAAZ2YoDhYrgMrmRw3V9Vnz+5+Mvvfvfps+X/peu1a2vSzjxBmc1zb/+z92G27/J5WomB/RjozZ+von3p3vEqfcv70errlXR41fjq1z7zIcPFcDFcnw3XjNlqGbHapBU1NkdOeqNtGk1/ZF/Utc/Ngq50HWWA2XpdZpiu143t6DiXPsYCw8VwPZ3hevvq/S7UFgM+v4FEFwsl89HaMVpjVtbkbWnU2r0r5durHVvEcc8ylrj2+j+yY7hFe7eob4syZhjbov9nKWNvDUf6+ei2ROfPWp/u8/HyM9LvR6S94q4OwxVbZD+CR3WeMzYMF8P1dIZrdjJpGbU1N8x88Z3+XjNjs33YK1+pD3uZxr36cGS5PcM1s/O5tv2RNvXq2KKMXh2vfn1LDdeWtTZ/Gqsty+oxkM7Ha+bmXj3R68xFeQFLl3Mu7KNcS3ds/Bguhovh+nikcM1NfdRgHblwiU6odrjGJt5IDCNpovGJpNuivi3KiLT1ldNsqeHastbmP4PhOgMrjAXDdQYOtWHsPn02vRguhutQw3XfZcp/lkGRfn7/bPm9dj3/vJQn/SwvPx2Ms4artbu1lL/FLlfvKFt6fXSR1Uo/ey2f6PL2l/rT6mMkfWlHblaXiN6lyXzL+tL+lPq27KL12jrSziXekfqiN7Ne+7bULNKmVn2jDKZjvNfP0TiU2pnHZZT51jhKecqN1myMIvHI5+H0KGFpXi4dNcw/S48i5uVFy/x070iONdaON+bllerOdej1oVXXzDHL1vHMlt69Y52M6HMbgNHxKf26eDNcDNehhmsxQF/cZLO/ycqN1rubVeFvuErmLJLvV9NWeDthdHJJTUnEXI0aonzxUzIzvTS9vtTaNPp5q568rJZu0Wu1ReLy+YwurXaOmOhonHu61LSItLO2yK/pUlrQ1/oc7d/RmkUZ7OkXZbBXTq09kXyj80mPpZm4t+LXm1dmr9cW8iVzUzJsJYOzGKj0//m/S7/XPmvdO3JT1DoiWbq2fBbN19K5pdlI+TWjWqt79iHmLDPyrTMD9NtfP4aL4Tql4WreQCqG64sbbyBNfqOenXAebbhapiPap1FjNbrYzhdtpYVh7yl6bQeh1ZbSDkBPkz0Wwr060xjuvdBv8dJbsPdiFDU7+cJ/DU8jMY5qu2hUMxsj5fQ06fGb5+/FKNc27UMtfrPMR7ieSbPGcJXqyw3MyC7XrOHq3V9qu1xpfbkhau1G9XRu1Vfq48zuXq/PvTa6vv+in8aP05jhYrgYrif6G67ewrR3vTbZnsFw9RamkcXvaP9K6WcXn5F8kfZFF/Nr6otq2XuYMHLz7rHZu94yHiN5awZtjZGpmZyoPiPjb6t2ttpcas+IxtF+19IdbbhaOz17GK5afS1juGbHqLeTNbp7tcTNkcLHLd7XjjH5j48dw8VwMVyN7+GKTEojC6B7eWsWLpGF0Ez5Iwu+o/vQMxbRtkd16dVX63+Pg5l29sqcWejPlhnRJWqao4YvYlBHeGwxcLQuET1Hx/uefai1JTqu8t2PmcV65EhhiZkRIzNjPkbaFTniN3qkMD/CmGtd+30kBr0+tuqM3EelOd4A0PxYzRkuhushhqv0AovWCzU+PWWsvHCj9rKN0mvgW38fNvsEcXQhMrNAWZ7Kp/9PF62lz0cm09JCLa9zZnFfakPLeCx1lnYzShr02jirSy1fKw7Lwr/Uplq/ajFslZHq12tPTf8eR3lfSu2M8rUXu1v2PdK/Fkt7tCVvUz7+auxH9a71OdLPVtsiXPQMQun421Ju7Whc7bhdWldqZEaP6/XaXGtftL2j7Rw1sCV9apq1tE6v1WI9ey+NsCPNsSaB3tvpzXAxXA8xXGcdxDM3it5iurRQOlv/j+rDjNk8m1az7bly32c12zpf6cHC1nUob7sFyjNpOXPv2LJ/M/WP7FrlBo/ZuibnWzJ7tbIYLobrUMPVejX71Qbflfo7u9P0ChqNmNlX6O/Z+3BlFs8eG+0bX8S3dt4ierZ2EyP5pRmPGc2uqRnDxXAdarhMNNecaMRd3DGAAQxgAAMYuCoDDBfDxXB9fmnGVScB/XYDxAAGMIABDGAAA/sxwHAxXAwXw4UBDGAAAxjAAAYwgIGdGGC4GC6Da6fB5UnRfk+KaEtbDGAAAxjAAAaehQGG66KGq/RGo+UNXld8m9pRfZ95k9SzTCba6caHAQxgAAMYwAAG3jPAcF3QcDFbXw6EPc3W2z+/vdtBZLrcjNyMMIABDGAAAxi4DgMMF8N1mzEcr/Kq65m+LxPk3UwtP7VJk+G6zmTqxinWGMAABjCAAQyUGGC4Lma4ttxdueLRw9RspQOqaKw+G7LiwHt7v/NlkjZJYwADGMAABjCAgddjgOFiuKZfmsFw/TYh5IZr+b1kxO4T6ZbG18T8ehOzmIopBjCAAQxg4HUYYLhOZrjyb30vfYt865vh02ulRf3oQn85Opj+f5kA0uN4JfNVyzOSLy83b086Gc3Wt8WElhqr2r+/2BGzwzVt9LeIlzJe5yYmlmKJAQxgAANnZ4DhOpnh+vXI2scFecQwpWlq/16z0E8NT8385Abs/nspbZquVm6vvtxglerO68//3mzrnbna7tannazCSzPscLkxnP3GoH0YxQAGMIABDGzHAMN1YsNVAj3fwdrbcNUMTc9U5eYqaqRa6ZY6W4aptRPX6svspNIyWwzXdhPVbHzkEwMMYAADGMAABh7NAMP1hIarBU3pCOKaHa41hiuyi1Uzbr1dqNoRxtHdtjUDsLp7lby9sPYWw9GjnWvaKa8bDQYwgAEMYAADGHgcAwzXkxuuyDHCfICNLvZnjFPvSGHapt6uVs30zeyalQxebQJqmdfeztZSptfCP25yc2OhPQYwgAEMYAADZ2CA4TqZ4WodGfx1Ef/577ty49R7YUaaPwpf7aUZ+dG91gsrSmXkL84o/T7ywozFSNXqqtU3u1uYfgdXdRer8j1do4Y3Givp3FQwgAEMYAADGMDA+RhguE5muNYMkpIBa+3erKlrr7ytnbG96uyZri3rZbbONwluGV9liS8GMIABDGAAAzkDDNcLGa57cFuvjH+WCaC0W3Z023t/C3d0e9Rn8sYABjCAAQxgAAPPyQDD9WKGy0B8zoEobuKGAQxgAAMYwAAGXpMBhovh8gW0H3cGTXA0wAAGMIABDGAAAxjYgwGGi+FiNhguDGAAAxjAAAYwgAEM7MQAw8VwGVw7Da49npAo05M3DGAAAxjAAAYw8FwMMFwXNVxv//72zmilr05/1oF8pj6cqS2z8Sz1ocTObPnyPdcNQ7zECwMYwAAGMDDOAMN1QcPFbI0PlNHJ5VXN1qID07U/Q6PMSS8mGMAABjCAgXMywHAxXLeWOYi8oj3/7qx8sNeu9/KNTBprDE76JcZ5na1rtfZF2hLRdaT/rbYsdY2U1+sDw3XOCX0kxtKKIQYwgAEMYOAYBhiuixmu2YXyluboTIP7bqjS9qS/t66t6UOq5VG67lHPLEtrtJP3mBsDnemMAQxgAAMY2I4BhovhCr00Y48F+xkG8qMN11Ea7BE/hmu7ifgoDtQjZhjAAAYwgIHjGWC4Tma43t7ebsvPfUCk/14GSJ7mix2aJP893bsjcoWXZUQGXmnB3jsWV7ve+/zentoxuDTvLiYi2/H6FIOPn+XGLKJZniZve1TT2Xxp/a1jnTNHDj/pMsnSjHbyHH9zoDnNMYABDGAAA9swwHCdzHDlpuqdYcpMVGqqav/+wpBNLpJb5qZnfEb+hitf/NeO3/XqnJkgeqaqdz1aZ1SPUt9Lf1uVl1czciUDGDFltX4xXNtMwlFupKM3BjCAAQxg4DkZYLhObLhKgyrd3cp3v17FcNVMwJ5/+xQxU5E0kYkwsttUM54lw7XU2dpx7O2mzexyMVzPOelHGJVGbDGAAQxgAAPbMcBwPaHhag2A0hHEZ9vhau26zBiD3oRRM1JHvDQjusOUG63WrtbsDldPp3e7rZO7paP1SL/dhE9LWmIAAxjAAAaOZ4DhenLDFdnV2mKhfOSRwsgO18hk0TKhsy/N6BnbVvte4Uih3a3jJ+sR5qUVHwxgAAMYwMB5GGC4Tma4WkcGl4FTe2lGnrc20EYWy60XNkRe5nBvQ2k3Js+7pEt3sPIjcqU8kcmkZ7jS79oqGbDSSzNmDVevD6VjgbkmqVZL/2ux6MWodQyxuZNqdyv0ds8In9Kc54YoFmKBAQxgAAN7MMBwncxwrQly/lbC0lsKfzVtBy6Yt3rBReTlEFWTWXhj4xqt73lb+q4t+8z5Rwz7mfuhbW6qGMAABjCAAQwcwQDD9UKGazEBs7svWwI3u3PSa8NouXtosUeZvX677oaAAQxgAAMYwAAGnpMBhuvFDJeB+JwDUdzEDQMYwAAGMIABDLwmAwwXw+VvUT4eDzTB0QADGMAABjCAAQxgYA8GGC6Gi9lguDCAAQxgAAMYwAAGMLATAwwXw2Vw7TS49nhCokxP3jCAAQxgAAMYwMBzMcBwMVwMF8OFAQxgAAMYwAAGMICBnRhguBgug2unweXp03M9fRIv8cIABjCAAQxgYA8GGK4HGK7vv//+9sMPPzA6jA4GMIABDGAAAxjAAAZenAGG6wGG6+eff77dTdeHDx/80AADGMAABjCAAQxgAAMvzADD9QDDpUoKUIACFKAABShAAQpQ4BoKMFzXiLNeUoACFKAABShAAQpQgAIPUIDheoDoqqQABShAAQpQgAIUoAAFrqEAw3WNOOslBShAAQpQgAIUoAAFKPAABRiuB4iuSgpQgAIUoAAFKEABClDgGgowXNeIs15SgAIUoAAFKEABClCAAg9QgOF6gOiqpAAFKEABClCAAhSgAAWuoQDDdY046yUFKEABClCAAhSgAAUo8AAFGK4HiK5KClCAAhSgAAUoQAEKUOAaCjBc14izXlKAAhSgAAUoQAEKUIACD1CA4XqA6Kp8LQXe3t5eq0N6QwEKUIACFKAABSiwmQIM12ZSnreguyG4iinYup+Ldq1yt67zvCT90rKIJmm6o/oT5TyabrbdV+Bhbw1HtD9TW0baLS0FKEABClxHAYbrIrG+wiJw61DmmpU0vPJiL8JUJM2WcYvWF023ZdterawtNVxb1tr8aWy2LOvVYq4/FKAABSgwpwDDNafb0+WyiBgPWc9wLdevqm2k35E045Gp54jWF023ZdterawtNVxb1tr8DNer0ak/FKAABc6lAMN1rnisak161CvfeUnNQWunJr2WllHbycnrzBcu6fXateXzSH01gWr15GWv2ZHKtUnLjgQub2Opza1+RNKX+teKUavdEU1L+besL8LETH0z46EX44hevTQ9PXttWDP+SmMlr29G63sZtXy1Oas0f+XzVnTuic4vrflzRHdpKUABClCAAu/un3/4899u6Q+JnleBmiFIFzwlk1BayJQWKUs5o2W08pWutfrRi07el7z80u+9MntllOqsldnTOl8wl7SutWfLvrfaWWtTT6eWzj1domY3GovSgj6qdY+Xo+NQak9vLpjhLMJEry218TeqWY+XVv9680uUoR4HrlOAAhSgAAV+XVswXK8Hw+jiJV1othaiLeNUq7O1eCk97Z9d1LVMwNLu2YVUr02j5S7pe0/sW5r22pQvOGfbOGKu1hiuLRisLeZHTUDKZT4eIrNFTeuZslq6RA1sj5WoOeuV02tPby7I8681VbPzy+hYiTAhDQUoQAEKXFsBRwpfMP4zhqu26OotsiKLyF57ogu+SKh6i6Xe9d6ir7QAjmiQG6AZc7JWp5G+9+JeMzeRfLU4zjA4W9/IYj7CXSm+kX5Gym7FfcbkjPR9LXMj46mXNtqWEWPXm5si8ZGGAhSgAAUo0FOA4eop9GTXt160jizOWovO2cXSiEnY2gREF/OjbZxpZ68ttTb08kVNQXRh2uNlpp29MkfMTmqYa/lmNauVPWOuI+3sma2Z2B6t9axms+2MxLbG+sw4f7Lbh+ZSgAIUoMBOCjBcOwn7iGLvC4L8Z1nsLZ+Xfs8/mymntJBJy8n1KNWRp2/lj5SXLuZGyqrlay3ERhdjLeORxio3BT3dRuPQW7SX2lLjo6dbrV+tfBEmeu1psRIZD9Gx3GpHaVxuUW7LVEXHX0+fHoO9fkT7PspaVO8SX7W452lrv/f67DoFKEABClDgi/unv+ECxKwCkafFs2W/cr5Rc/ZKWly570fG0dg8Um11UYACFKAABdoK2OFCyCoFZnaOVlX4xJmvrFVvd+uJw3rapl+Zt9MGRcMoQAEKUOCSCjBclwy7TlOAAhSgAAUoQAEKUIACRyjAcB2hsjooQAEKUIACFKAABShAgUsqwHBdMuw6TQEKUIACFKAABShAAQocoQDDdYTK6qAABShAAQpQgAIUoAAFLqkAw3XJsOs0BShAAQpQgAIUoAAFKHCEAgzXESqrgwIUoAAFKEABClCAAhS4pAIM1wuFPfIa6N73ILW+kPdIqXrtHG3L7JfAjtbzTOkjvNz7c/Qr3beob4syWrHcms8zcrO3hiN9PlNbRtotLQUoQAEKUODTWsoXH78eCFdYDI5ErfUlsL4g9hdD1fsvkqZXxsj1LerbooyRNr9i2i01XFvW2vxpfLYs6xXjrk8UoAAFKLCtAgzXtnqeojSLiS/DwHC1sYzwEkmzJfxb1LdFGVv26RnL2lLDtWWtzc9wPSOB2kwBClDgNRRguF4jjl/0orQw6R0fq13vfX6vuHbcJ80bXSyNtDNaZh7ilj4RHPI2ltrc6kckfUnTGT3T+NT0an3ei0dJr1b/tuYl71/al+XfET4jcY9quZVmkTa1mBhlcKlvC87yOJTKzOMyyvwMZ3k7ZueQSGykoQAFKEABCvx6b3Wk8PVgaC0ieguMkUV5acGULtpK/46qXTNFaf5eX2pmoNWGaJl5utJCP6JFqZwt+95qZys+kXwRfUsL7xldajHrxaEWl9n+Ha1ZlNVef7bicyYOs5r1YlubC1rz0po5KTp3SUcBClCAAhTIFbDD9YJMHGm4WoueNYublvGLmqJ3sG/8t0pLO2qmqfQEPtWk9kS/tagd7XtvIX6va0uD1+rf7AK6N0RLOpb6VTJ/rRhFzU4+BkZj1GMiYnJ6cd7bcC16j849s0ykcesZrAjfPcZcpwAFKEABCqxRgOFao95J844uemqmqfd5ZJG3ZvE5s+CNLE5b/Rppb8twRdve07BUzkwbW+Y3siCdrfOIhX6tbyOL+dGh3NOjdz2vr6VTj6XR+I3oMtqPmoGvfT7blpE5LqLPaPylpwAFKEABCowowHCNqPUkaUcWI62F3xrDNbNQW1Nfb1FaK3vG8KxpZ6++mm69fFGjGV189hbCM+3sldnTNWI+jzJ4ER2jY2Cr2EYfJBwdhxGzv0X8InrW4heN2ZPcCjSTAhSgAAVOogDDdZJAbNGM+2Ih/0kXO7VrvYVaKV/62T1/6/eRRcxIH6KatcostT1a7pK3ZgSWekumttSmVnwisWuZrlJbRnRJ89f61WKtx0seh14dtbpKn9dinLcpEvc9+Ny67zUN8nE+wmdPmyifoxxG9R6Je5629nuvz65TgAIUoAAFogowXFGlLpJuxBy1JIk8ZX52SbfS6hl1uHLfzxKvK4yxs2itHRSgAAUoQIE1CjBca9R7kbwzT/ojXd+r3Ejde6Z51X5FNIvuPEXKkma9Aldmcb16SqAABShAAQocowDDdYzOaqEABShAAQpQgAIUoAAFLqgAw3XBoOsyBShAAQpQgAIUoAAFKHCMAgzXMTqrhQIUoAAFKEABClCAAhS4oAIM1wWDrssUoAAFKEABClCAAhSgwDEKMFzH6KwWClCAAhSgAAUoQAEKUOCCCjBcFwy6LlOAAhSgAAUoQAEKUIACxyjAcB2js1ooQAEKUIACFKAABShAgQsqwHBdMOi6TAEKUIACFKAABShAAQocowDDdYzOaqEABShAAQpQgAIUoAAFLqgAw3XBoOsyBShAAQpQgAIUoAAFKHCMAgzXMTqrhQIUoAAFKEABClCAAhS4oAIM1wWDrssUoAAFKEABClCAAhSgwDEKMFzH6KwWClCAAhSgAAUoQAEKUOCCCrwzXN98883NDw0wgAEMYAADGMAABjCAAQysZ+DtgiZTlylAAQpQgAIUoAAFKEABChyiAMN1iMwqoQAFKEABClCAAhSgAAWuqADDdcWo6zMFKEABClCAAhSgAAUocIgCDNchMquEAhSgAAUoQAEKUIACFLiiAgzXFaOuzxSgAAUoQAEKUIACFKDAIQowXIfIrBIKUIACFKAABShAAQpQ4IoKMFxXjLo+U4ACFKAABShAAQpQgAKHKPC/krpqsdwXu4sAAAAASUVORK5CYII=" alt="">

关键字参数

    def func(p1=v1,p2=v2……):

        func_body

    调用函数:

    func(p1=value1, p2=value2……)

比较麻烦,但也有好处:

    不容易混淆,一般实参和形参只是按照位置一一对应即可,容易出错

    使用关键字参数,可以不考虑参数位置

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" 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" alt="">

收集参数(参数组)

    把没有位置,不能和定义时的参数位置相对应的参数,放入一个特定的数据结构中,实参数量不固定

    语法

        def func(*args):

            func_body

            按照list使用方式访问args得到传入的参数

        调用:

        func(p1,p2,p3……)

    参数名args不是必须这么写,但是推荐直接用args

    参数名args前需要有*

    收集参数可以和其它参数共存

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" alt="">

示例:

def test(x,*args):
print(x)
print(args)
return 0

test(1,4,3,4,5,6,7,8)

执行结果:

1
(4, 3, 4, 5, 6, 7, 8)

收集参数之关键字收集参数

    把关键字参数按字典格式存入收集参数

    语法:

        def func(**kwargs):

            func_body

        调用:

        func(p1=v1,p2=v2,p3=v3……)

    kwargs一般约定俗成

    调用的时候,把多余的关键字参数放入kwargs

    访问kwargs需要按字典格式访问

def test(**kwargs):
print(kwargs)
return 0

test(name='zzh',age='',add='shenzhen')

执行结果:

{'name': 'zzh', 'age': '18', 'add': 'shenzhen'}

def test(**kwargs):
print(kwargs)
print(kwargs['name'])
print(kwargs['age'])
return 0

test(name='zzh',age='',add='shenzhen')

执行结果:

{'name': 'zzh', 'age': '18', 'add': 'shenzhen'}
zzh
18

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" 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收集参数混合调用的顺序问题

    收集参数,关键字参数,普通参数可以混合调用

    使用规则就是,普通参数和关键字参数优先

    定义的时候一般找普通参数,关键字参数,收集参数tuple,收集参数dict

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" 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返回值

要想获取函数的执行结果,就可以用return语句把结果返回

注意:

二、递归

在函数内部,可以调用其他函数。如果一个函数在内部调用自身本身,这个函数就是递归函数。

def calc(n):
print(n)
if int(n/2) ==0:
return n
return calc(int(n/2))

calc(10)

输出:
10
5
2
1

递归特性:

1. 必须有一个明确的结束条件

2. 每次进入更深一层递归时,问题规模相比上次递归都应有所减少

3. 递归效率不高,递归层次过多会导致栈溢出(在计算机中,函数调用是通过栈(stack)这种数据结构实现的,每当进入一个函数调用,栈就会加一层栈帧,每当函数返回,栈就会减一层栈帧。由于栈的大小不是无限的,所以,递归调用的次数过多,会导致栈溢出)

三、高阶函数

变量可以指向函数,函数的参数能接收变量,那么一个函数就可以接收另一个函数作为参数,这种函数就称之为高阶函数。

def add(x,y,f):
return f(x) + f(y)

res = add(3,-6,abs)
print(res)