PySe-005-基础环境配置（Win7）

　　之前的文章讲述了如何在 MacOX 下配置 Python + Selenium2 的 WebUI测试自动化环境配置，敬请参阅 PySe-001-基础环境配置（MacOX）。

此文主要讲述如何配置 Python + Selenium2 在 Win7 下的 WebUI测试自动化环境配置，敬请各位小主参阅，若有不足之处，敬请大神指正，不胜感激！

一、安装 Python 2.7.10

进入 Python 的官方网站，下载 Win7 对应的 Python 版本，建议选择 2.7.X，当前最新版本为 2.7.10，下载并安装，我将其安装在了 C：\Python27 目录下。如下图所示：

安装完成后，查看安装目录 C：\Python27 是否添加到了环境变量中，若没有，则配置如下的环境变量：

PY_HOME=C:\Python27
path=%PY_HOME%；%path%

启动命令行控制台，输入 Python -V，查看安装版本，若出现以下信息，则说明 Python 安装成功。

Python 2.7.10

二、安装 setuptools 18.1

打开网址 https://pypi.python.org/pypi/setuptools/#downloads 下载 当前最新的 setuptools 18.1（内涵 ez_setup.py），如下图所示：

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Rk7arS20x+JBeZDoocmQ6VVJHpZEr3uY8PNS74XjYyne7Tf2qqmfnA938eLC0Plv585r/PXLP5eEdGDwkAAIpNcjfDYo5TdUI6Tsd46FUsR4jlLGcbRnnMdCQlHsJtpWQz6HEsJBx7S7bAcNU26dwrWdkyCNVRrCvdKD/uZTdpppPgEjmoDiQeTpHpJD4L7+xPSZM9Ul2NTAdFjkyHSqrIdDLqlXsynul8+sqC+0eUz/jxnJePnuvWtO7z77x8760zSstn3rPz08wdFQAAFJuk10huFSfd2DMdM9CJvTbW0z1R5enW3ZE+yPvmjGacQYPqsd/idv1TqvV0TnhYhFj9cHHbOCbVRU6wm3M9HY+XSNJICpmOt4uQ2K4qRXYTH0CUONwh00GRI9Ohkqr8y3R2hkrLg6U1rxTFgTKe6ZzbunBEeXDE7B2W/Oa/Xri5PFhasfCFc5k6LgAAKDbxuTCpETOdsw2jZKNFzJv21CfsZJnykU/9Sbougj62yHUYkXMen2woUMJMp3B+YICM50yn+TVN07RTc2MvNz//V/FlUtX8mqZpfz1amctsQtX/fOhbXheZTkFnOuc2zg6Wlgd/uvZd6/Z366cHS8tn3Mv/ngEAAI+UAyg8MTKdE1VuU3I8PLwpn5DpaH29CObwpaRa2FWl/JG4pzZkOih8SWY62sfNm10zEWstPPrxe83ypsh0CrPIdAoh0+lof+9gU83ds0ZMbzxmeePkb2cGS8uD35u3r9uyXc90qh9s9tD08T89u/ixH1SwkDMAAOiz1oYDxXQ7TaajcRGAbEs204nnIB4ynYVHP9Y0jUynuCrtmc6n+9eFbhh7V2l5sLSi+gd3hmbNrK58UZwC1H163wvVd878TnmwtHzGdyfWVK97LTZvSA9ZbDW98VgsGQmWlgdL73jufU3TNG1HjbmPMUpF3HjPzu4PdqyZeEv1iPLgiBtnT1z88nvGqsHKA8V9cuTZxXP+XT+L8ru+f2eoPvy+c83hT9+yrEx8Q03j7+0rE0syne4PwjUzZ3+3IlhaHvzO2Acm1i386aSnD6oup+X5WdZOapqmaZF1j5aWB0vLZ96z47QZ65z7faAiWDr16YPdmpqe+/BwLgAAAAXiDI2LAGRbcpnOe0ef/6v2WqMzE9Ff6sTQR9ziJTdRfEqPhzRN++up18TjqrabCZT1QMb+7x31kOnE/n7+vVhLrzXmPlLJeaU30+k+WP/r0vJf3//yRx2apnWfO7qt4ccV4syg7rfX/mZE+czA88fOd2ta9+m99b8ZUR78/pzdZuqjBy628KLjo+cerrZt7z73xsLptplH3edfXz+mIlhaHvzh3atW7vmoQ9O6zx3bPOf+EeXBEXc0vi1mHNIDaVr3kedu+nmwdGxdffzjzz48a0T5jB/MeUVYs6b77acf/U558PuzGl/9qEPTus+/03TnxBmlFbPutaxM7Mh0PtlRWRH83sznXzvXrWlax0ct9bNmlpaHdiS6ssfWPiTtrdZ9dOVdevY04wd3r9n8zrlureOtlQ+Vjq377RG3RMcUi43IdAAAAKyIMzQuApBtSWY6zf+78ZT216OVlkxHXGpH2J70OB1FO+L+jac0LZntqr9j4Y6HTEe78PxClz73u0pvpvNu/fRgaeX6t4VNn764YEw8c+luXvX98uAP698QwoY36iZZAwVF1CLdricd1tVkYsNP7twhJhqfbpw9o7Q8+P0FLeZW6YG636ibGiwtr77/VeHj3UeXTg+Wls+YsCE2Obz7tad/WB4svWnlK+JeR9b/tDxYWjHnt/9lbHNkOjtD9r51v1E3tQ+ZjqZp3af3rp7zvfiIm+/cWP39exrf8L46MpkOAAAA8lVgQ+DQqUO57gWQPUlnOndvfv6v2muNQubSeEoz19kRXiab6ajasWxXHVfZn8rmC7FcRrW/e6YT+7sva0IXVaU309GX7I0Pw3G8+8IDMxwL98ZW+Z2w4WRsQ5oynXt2Wj7dvTM0wvYoKFmD+mOkSh2ToayRin4iwVH1b1j3ih1a6I8j03nt6VHlwRF3PP3qR865XG7UmU7He9tW/uTG++/d1vL7taGf/DyW7IyYOK9+v7dnmZPpAAAAIF/t/XBv2eKyWZtnfXLhk1z3BciG5DOdJyqbL4hzlyqbL2jivKRUMx1VO9btmxXHtW+3ea1RuT+ZTg4zHa37SKM+9UlfX2bzQTG6aHnwJscqNo41cTKU6WjvPTem3LpssKzB3QuqS8uDpbN32Ie5xJbgWbDxnHki1nWCNM1Y0Mf8uHM9nU931MzUp0p995Y5Nc+2HD3naYaUItPRW5t5jzHhq/vc0W0rY8lOxayaZg+Nk+kAAAAgj33R+cWsF2eNnDuy5qUakh0UvRQyHft6yfk9TkfRPplOfmQ6mqZ1nzpQf/+vv2NMBZq+cusHerKgBxz31r3m+vkMZTrxhZbN7bIGY6GM82FYsUxHDz4cTdk+brYpfe5Vx3vbVo65cUYsz6qYdeva1xKOqJFnOs2rvldun+ymaVr3qZfv1OOzmZtPJmqZTAcAAAD5Tx+wQ7KDopdSpmOMhXFdT8f6kcSZTkbW0/HSDplOTjOdmI72Q+Fnbp04o7Q8WDr1mTc1zRje4oxCLDKU6cSSCyFRkjX48pwZ8igkluks2dqtadrueyus88XiYpnOw+H48BiXZ5l3n//wT8/OfVB//ldga4L1b6SZTmyj7HHsb69+QLn+jg2ZDgAAAAqBMWCnbEnZmv1rvuj8Itc9AtIvtUzHscaw/HlVc2NPjNKXGbZlNxbW4TP2duIRjON5VartlkPInp+VzHOvyHQylukcbfzprCbLkJPYksO/WfmeZiyd41iGxiqj6+mIqxq7rKdz06rd1oPH0pNY1hNbT+d7C1qse8UOLWQ99kxnR829j+23zIf69MUFI8qDI+bYDmgnzXTOvbhAFdzEMh3G6QAAAKC4GAN2SHZQlDxnOnlSqmyFzCVLle5MR1zbRdM0fehKRUh/0JP+3KvSigUbrYMlP93ZMHHNkdgLVaYjmWf06daHq1WZzs3rWsUjbJw9o7R8xpinhT1dn3t1545PHRtn3rsrNpom/tyrJVuFE4ltHNvwsjnmxpnpOB6pfrTxp/ZTkJDPvfpkR2VFsLT813WvWdfNiT2oq/qenR4ef0WmAwAAgILyRecXi/+wWL9h0ZOdXPcISJsCyHQsY4KE4UKq7VQmK+2ZTrC0Ytadz/7pow5N0zra//j8hJtmjFl7NB45fPrKgvtHlAdH3Nqw+VB7h6av6dvwk7ue3m+EI28+88PyYGn5Qwtft64e3N3y4Fj9oVrvd2ha97ljm+c8dtMd95aWB0unP/OWuRRzLNMprbj/3m3HzndrWsdHLy24f0R58Ps1r1jSJsWBuo9snjI2WPrzRxfs+Ug/0LMPzCwtF89C07TutzfUfb88+J27nnn1ow5N6z7/TlNgbLC04jf1R8y9Oj56cWp5sLR8xpjVb+gPAtMnZ33nrid//865bk3rPhd5ad6vS8eGdrjNCO5obzvyzOzq0vJgacVv6va8/7HQ3093NvygIlj680cfDevPGus+/2FL/ayZpeV33fS00OHuoyvvqR5RPuMHD/8+Ijb9l5OHGhd8T+9kfct7p72t2AwAAADk2qFTh3624mf6bcvPVvzspaMv5bpHQBoUQKZjf5SVORhHtZ3KXKU10zm3o3L6yvrFc/597F2l5cHS8ru+XzmnZtv71qd2d3/wSmP1nTP1RZS/M7amet2B09bZSK8sfvi7FcHS8uCIG2f9+8y1O0/G3uh464Xpt1SP0D84ZWH9/k9jo1csw0ximc7UpS/EjzLju7c4u+F2IK3j/c2L54zWlzGuqP7BnaEn9512hh0dx1+umTnbaOGGmhf2njL3EvpmLpx8sP7XlfUvVN85S/Upu9ggGnuJM8u6Tx14ss645sHvjP3VDTWNvz9uu+rOTCceftlKtjoPAAAAkIfEATskOygOBZHpUPlTGVsjOWdUz70CAAAAUITEATt6snPo1KFcdyoJRs8pSiPToZIs48ejvyTTAQAAAFBgbAN2Rs4dGdgQKJRkJ+c5ApU/pWnaf+49rO0ZQVEey/zx7Bmh7RlBpgMAAACgINkG7IwskGQn5zkClT+lkelQSZb549kzQiuCTKfjL82PTAqWlge/N3vLIVb8BQAAAPoT54CdkXNHzto865MLbg8lya3CvflCupDpUClXUWU6+lOlWPEXAAAA6M+cA3ZGzh1Z81JNfiY7BXrzhTSyZTpdnVGK8ljGj0d/WdiZDgAAAABoigE7+ZnscPMFMh0q5SLTAQAAAFCcpAN2ypaUrdm/5ovOL3LduxhuvkCmQ6VcZDoAAAAAitma/WucA3byJ9nh5gtkOlTKRaYDAAAAoMh9+JcPJzw1QZXs5LZv3HyBTIdKuch0AAAAAPQL0gE7I+eO/NmKn7109KVc9YqbL/Qt04msq66u3BjpazrQ2lRZUbeuNfchBZVUkekAAAAA6C9UA3ZymOxw84W8yHSowiwyHQAAAAD9i2rAjp7sHDp1KJud4eYLZDpUykWmAwAAAKDfcRmwM3LuyMCGQNaSHW6+kLFMJ7Kuurqsorqsorps0UFh+8FafWNF3bqWpsqKtc2dwtwr/Y+WpsrYPtW1LblPLihVkekAAAAA6KdcBuxkLdnh5guZyXQi66qNKEf8+2BthbG/Hu44M53qsuqmSGe0qzMa2VgX24HKyyLTAQAAANB/uQ/YGTl35KzNsz658EnmOsDNFzKS6bSstWQxxkvrdjOysWY65tgc1k7O7yLTAQAAANDfuQ/YGTl3ZM1LNRlKdrj5QqYynfhYm65OM5qJbKxzbJfNvWq1fzDn4QUlLTIdAAAAANA+/MuHgQ2B7Cc73HyBTIdKuch0AAAAACBm4xsbyxaXucQ6ZUvK1uxf80XnF+k6IjdfyNjcKyGLUcy9Ml+S6RRmkekAAAAAgOmTC58kHLCTxmQnEzdfV65cuXLlylfIEf36p/YbyI81ksl0CqbIdAAAAADALuGAHSPZ6eOB0njzpUcJly9f7u3t7enp6Y7rQlYYF7ynp6e3t/fy5csew52+ZzplFZaKRzYenmW+kXE6hV1kOgAAAAAg4WXAzsi5I3+24mcvHX0p5aOk6+ZLH5hz6dKl9nMfz900/o7l354wf+DYuquoLNeE+QPvWP7tuZvG//X8mUuXLunDdrz/BpLPdPpWtmV3qEIrMh0AAAAAUPIyYEeV7Oz9cO/eD/e6t5+Wmy99eE53d/f2t5ZMWzLs9ieG/fK5bz64458fCf8LleV6cMc///K5b97+xLBpS4Ztf3Nxd3e3PmDH428g45mOZZ0dcU4WVZBFpgMAAAAAbjwO2NGTnUOnDumf+qLzi7IlZWVLytyX3en7zZc+Qqe7u7vpjcUT5g+Y2Vj68M7vUDmv/3juHyctGvT7Q/Xd3d3uo3X6kunYZl1lrnIeXlDSItMBAAAAgMQ8DtgZOXdkYEPg0KlDv9ryK/3lr7b8yqXZtGQ6ly5d+u+/HJ22ZNg9G0offOmfqTypmY3/eGvompN/PX7p0qUMZTpUPy8yHQAAAADwxPuAHVu5zMDq482XPuuqs7Nz8fZJt624+oEd36byqm5bcfXSHdO6urouX77s5TeQWqZzOC4LW6i8qgxkOpGQ3yfhD0VSbMwfigh/pCAc8PkC4ZQ+mrhjfZSwb8keKOEVS/sRrY0nuNBp+UKzIBO/mawdN4ffoPRfv5e+mMfN1aX3II+7BgAAssr7gB2jXGZg9T3T6e3t7ejouOfJ7969/h/uaxpB5VXdvf4f7nnyux0dHb29vaqhOozToVKu9Gc6kZA/E/c9fbibykh6kKa7u8R9S/lAig9mMEvx0rTRq/y+Pc5V4pTjpKvv36Bko4f/IojHzeMfRp7nkAAAIKs+ufDJrBdnJRXrqGZg9T3T6enpiUajkxeV/HLTt3695X9ReVW/3PStyYtKotFoT08PmQ6V9o4IX6oAACAASURBVEp/phMOpDomx00f7qYyEjKl6e4ucd9SPpDigxmK3DRN07RwIGFXC2SYTiavUj4eN67P36D3jarj5vMPI4/jJgAAkCN7P9yb1IAd6QysPmY6+urIn3/++di6q3714j9ReVhj6676/PPP9ZWSpV8imQ6VcqU900l0VxoOmFMyxN3E7eY9Xfxez7jRc9x0yiMkcwZIICzeiAkzQ2IfEm4hxa7HPhQJ+X2BsNk5sR3xJlQ2x0R1pqq+qa9XIBT/iLGv9c5XeOW4Yqkc0WhBdu6a9MsSroK+o/T0vUc6bicoXBCxjYiwMdZ543T03sR/Qkl9L6rv1+X6yU9ccTETfjuqS6FsM4ffoOsJyP/xBgKW4+otRCRfsPSLcDlHW6+kvxnVj8Eyh0z2r974qMu10lS/SW//0cjbaAsAAFh90fmF9wE70hlYacl0zp8/P7buqntf+BaVhzW27qrz58+T6VCZqLRnOq6ZgSWAEV9Y7vbMN5zTPGzNK6d/iNmM2Jqxt3EQ49CRUMBvDQJs9232YCGsbFN9pqq+uV1Oy023NXNyXAb5FUv2iOYHJeeu+rLs82dUp+9t5pXqBPWbYedVtv2a7EmF5Cvy9L1YIkoPwzRc21f8kBJ9O27fdeIfZ1a/QfdhOqp/vJL80XH13f6hSc/R1oFEvxnHD0jyhv1X6OVHpfxNyn5Uiu8FAAAUAu8DdpwzsNKS6Zw7d25s3VW/fO6bVB7W2Lqrzp07R6ZDZaLSnelY/n9mxf8FHmMfIeO8g5GMCbDctXmZ6GHcP9l3FgYPxN4PhEIB437VOK5sbEz8L1WbqjNV9U0pUQfM7babWkUPk5jrpTq06stSJx6SbqcwTMc1zFKfptudccLvxd5ND6GO+sQTj3WRfztu37XrbyMH36CkBSGMUf3jFT7l7LPrP171Oap7pThL87P2n4z931Ik5HdJW/rwo1J9LwAAoEB4H7Bjm4HV90ynq6tLz3RmNv5j2qt6/U+b/tzWHhVr//btpfdsSPeBnr3rQJ9bvmfDP97d/Hx79Pmn1pdm4mqkVnqm09XVRaZDpb3SnOkkzAzEKQ2W2xfzDev/U20fE2C9A3Le/qju/hx7i28EwlokFAhFIiF/LOax/x/z1kOHzZlZ0jYVZ+oxAhJYO2C97ZTdydqvWB+O6HYj7Ppl2XcR9ktxmI789j/+jutpOg+UxPdi21UdTyZo32MS5SUnUV4Kt6FazmYy9A1KL5hwRvJ/vLaRKh4ulGroj/xnJf/NKM9R+dsMB3y+QCBgPylFO6n9qGTfCwAAKCCHTh1KYQZWGjOd6vX/kPa686mfvHi6rblp2JSFw6cuGj5l4fCpOza2R9v2777u7mfTeaA7nrxzX3T/lue+cdcz16XcyIzfXXf7ro3t0Y1PPuW1kbvXlW//cGHduvRfOqPIdKjMVZozHdf5AuGA2y2ksI99TIC4pzKjUbQaf+04mu1+MRzSG/WHIuGANDVyBgXKNhVnquqbknj7qQlX19oxyZ1yn44oOYQ6bVDN23GN5rx3Q3WC5m6+QFh9mrb9k/xekhyWoz5xxcX09O14uxQJR9Jk4xv0lOg6/vHag1APF0oR9nhKeY1OKs5RGXvqcYvzvz2Z+FGJ3wsAACgkdzTe4XFhHXEGVhoznbvWXZf2Cqy+/oXTbc3bh93WcM3tK6+pXHHNtKXD79/f0v7x/Nqnrr1r3XUzfveTrWfiQ3jOLHz8d9fN+N1Ptp1p27/72hnPXDdj+8L3o237X712xu+ue/zw/vY/L3x0dVVLdP/WVxa8Fx/107Tt2rvWXXf7yqrmaMuLzw6vevpaZ5t3rbvurmeuq9q68D1hxND+3dfe9cx1d6277s7f3tkSb+2F/Y3t0cZVq78x45nrHntzvzG2aNvW2M62uuOpf9/6/oLHnro2E1dPrwxnOpF11dVlFfaq3BhJMSZobaqsqFvX6r7PwWb3HahsVXozHddhILabGeXtoePmSnZX6/5/pktiENkgBGNcgz8UCsQO6TcmYMkCAesduqpNj2eaeMEM5ygEybAPc7PziiV7RNXEkYRflnwoleK6JTk+Sei19QQSXnD3YRwJv5fEX5BLr92TJe+/h0TftepYOfgGvf6g1d+K4h3VPzTVObr0KuFvRvnjFD4ghldJ/KiM7cmE0QAAoHB4HKTjnIGVxkxnxu+uTXtNf+L6F0637ds5/I6135jxu2tn/Pba4JpvTH1m/rvRli3PXVP11PVbPm5rfzc4ad7QSfOGNrzb1n5mwaOrr3noYEv78TvuWPuNO/6w8fjpluMHfhxYfc2TH7S99/r1E+cG90Tb2qON9fOHTqwbuuxYW/vHC+Y8fW3l8qo90ZYXnhkWXCNpc87T197xZNW+aFtz09BJc4dOrBu67Ghbe3Tjmqe+UfXU9Zs/bjve8qOJdUMnPB5r/ImV1wRe2dgebVw2b+ikuUMnNTW2Rzeu1k/BWoHV128+Pv/R1ZK30lVZyHTsCU5rU2VFdW1LZnIEL6EPla1Kb6bjeh8imZhk3ETZMhtrHmFtNT47QXUc4Z5JPIrlXspyyHDA5/f7zfs5f0AyJ0QeFCjaVJ2psm8ul1MWZwjtO5q3XbEUjii55tbRIbIvSzXYQjxoSsN0LL02h0pozhtrywfML8KWBST1vYQDwgVLOAol8YnbLqaXbyfhd21rM4ffYOILJPvHqx6mI79Q4gm4RnaWQzp/M8ofg/U0jJ+As2/J/mMX/iFLflSq7wUAABQO74N0bDOw0pjpVD39jbRX5Yp/23S6be9LwwJrrtG33PHUN25dFtwTbdv70rDbNs4/Hm1cNn/otKXDpi0dNnFuoDnatm/nsCk7GttPz3tk5fDfvN6y553G9ren31r/b1vPtO39/bCba6a/Gm3bs3nItKXDpi4eNn5LY3u08YlV19xaf8eeaMsLvx166wZZm7uGV64YPmXh0CkLh94SGjZ18bBx+gdXDr8tvLE92rhs7tXTlg6bvGDozS82tkcbVzYMn/ZSY3u0sX7h0FtCw6YsHDpl0dDpq65xnuDtT1z/4vH5jzwheStdlYNMpzPavKi6bNHBjOQIZDr5VGnNdPQMQr2ihrCUhPJx0c7gwv5/nFvuiVy74Q+FnbMkbAtYKLOBxJNbErUpO1Np3xRDA+KzwgLWq5i4GUt7KRzRfU6L7MsyDiNmL7bTlzSuHrCj7LXwTGrLj8A4pD8UEgMOa/PJfS+q71fdbfcTl3xYeVwPl8L1x5mlb9De0UQxhOQfr3lc15lUki/C68wrxW9G+WOw/IdMPoRIPJHE/1kTf5OKc7E1RKADAEDh+vAvH7518i29mj9oXt2y2qhZL86avn66XuPXjjdmYKUx07lj7TVpr9safrzpVNveHUOnrxoubAw2R9uam66e1NTYfmrug0uGBtdcE1g9fMrCHz13qu34gR9NWRTcE21cHhq2/HjLcy/Offfk3AeXBPdFG+sXXD3usem7o23N266e/sTw21cOn9TU2B5tXLl82C2h4J5oy/NrFW3+8Ue3PzG8csXwyuV37DOnXzUuDw27/0BL+6m5Dy4dGlxzTeWK4RPXzns32rhi2bApi3703MnYnvvCwyqXDw+sHu48wcoV//biu/N+s0LyVroqDzIdcX7W2mZzt4O1sY1161qaKvW3xMimtalSmM9V22LZEj+orPHWpsqKtes21jmOSKW50ryeThYknrhTgMKBbE+zyP4RpZLqhrfpKNn4geTJ1Ss42f/Hmx9TmIryP1oAACBt0pjpBFYPT3vdsuxHz59qa266+vYVw8yN6+e9G215/skh47c0tp+a+1BoaGD18MCq4VMX/2jjybbj+0dPWTT6uVMtm54avel049LHpu+JNi777bzjp+f9+vEh42qn7462NW8dcvuKYZXLh03c2tgebVy+bOjUJcHd0ZbnVpeMU7RZuTyopznvNo++6TclNzy3oT26oX7R1bP3tRj7V64YNum3896NNi4PDb0lNHT8nCE3P1Ky+G092WnZ8tywwCr7Cd5W/+MXjs17uH5YHy+US+Ug02lZW2bOvYqsqzbzncjGurLqpkhnVA904h/Uwx1rpmMbj2PM57JsVzSuRz8ZGihECVVomU5x3hwR6XjhutKJZbhJps8tT65eocnBP96c/fci679JAABQwNKY6dz+xNC017Slo5871dbcVHJbw9X6lsqVQ+8/0NJ+su5Xc0rGral7N7qhYcmQ258YevvKoZMXTt8dbWtuKpm6ZMiv9rbsaa5791Tdr+t++PyplueaN7y7918nzC0Z//j03dG2PVtLbmu4+tb6q8dv3dAe3bB86ZApi6bvju7b+MTgsatkbW4rmbKjsf1k3S8fGTxuTsmEx0tuemFDe3RD/YIhegv6/rc2XD1hW6zByhVDp4WunjS/ZOyjg2946P9uPNl2/MDoyhX2E7wlNHrTsbkPha7OxNXTKydrJJuL6bSsdY7NqW2xb49srJNlOrIhNmKmo2o8owv6UEIVUKZjmRtSRCL6A9SL+ohp6YbLnbE4WSbTp5YnV6+w5Oofbw7TlGz+JgEAQGFLY6Zz28qr015TlozeeKptz7bBt9QPuW3l1betuHrqzsb2aNvuTYMmzC8ZX/evjSfb2o9Nv3X51bc0DFl6tK39ZN3s+SXTlg0Zv21De7Tt2O6yifNLlh1rOXay7dVNgybOL5kw9/ZXo217tgy+pX7ItGVDxm7Z0B7dUL9kyKSF01+N7tu4atDYWkmbv6obPG7rhvbohqWPD54aGjL5mbnHom3t0X2bfmfpw5Sl03dH29qjG+oXl0zbqY8AGjJ16ZCxT9Ydi+577snBtzQMsZ3g1KWjnz8294Gl9u1prKyO02ltqrQ+9CoSmwBlfyqWMGDH+KB97lXzovhHxBE3wg6qxllzJ2tVQJkOAAAAABSbNGY6tzQMSXtNWvjDxpPm48Pbo23t0X2NKwaOrR00ZUnJxAUlNz7yf80dTtb9smbQpEUl05YNGV93+x+ibX9oHDBx/uDZ+1vao+sX3D9gwvzB4+fe/mq0bfeLg6YuLZmypOSmFze0R9cvW1gyYd7tr0b3bXxi0Pi5g51tTpw/eNycQQuPGH3YMH/2bX+Itu1pGjxxgbj/vvV/WN8eXb9s/uAJ8wbHZ121tUfbXn1+4Pi6wdOW2U9w8uIfPn+07v7FJZm4enple+6VZeJV1J7ddCq2yzKdeBnL7th3UDVOppO1ItMBAAAAgJxJY6YzbVlJ2mvSwsE3PjLw5/cP+MWDsbrhoYFjawdNXjR4aqhk6tKSCXMH3fjIwF88OOAXDw24qWbgxPmDpy4tmRYqmTh/8A0PD7zxkYGTFg6evHjwzY8NvOmRgZMWDJ44f/CNvxk4bs6gKUtKpiwePHbOoJsfGzhpobl98qLBzjanLCmZOH+wsfGG3wz8xUMDbnh44IR5g6YsKRlfN+iGhwb+/IFYD2+qiR9I3//BAb94cMDNjw2cvGjwtJB5alOX/nDT6bb2o3Ub36577mhb++m6B5am/wJOW1aS/fV0mhcJKxO3rC2Txiu2aVPGS2UcI86rEudeyXYm08lWkekAAAAAQM6kMdOZsnRw2mvy4sET5g0a9/jAsXNiNX7uoEkLBzl3GPf4wAnzB01eLGxfMGjigkGTFw+evGTwxIWxvyctGjxh/qCJCwdNXqLeLmtz8uLBE+bHNo6fN2jC/EET5sV6MmnR4PFzB42dM3Bc3cAJ8+IHje8/ds7AcXWxlsVTm7hw0M2PDVxwuK092nbs1bKbawdOFM4rjZWDNZItSxRH1lVXm6NpzBQm0RrJttDHjGni4Y5L42Q62SoyHQAAAADImb5nOt3d3XqmM3nxIMp7TVo4aNycgWMe+D/PHppzz4NfH/f4wEkLM3IgPdPp7u7O5rPM9ZVuZI8bF6MW4VnmG2XjdFrWCgvlmB+MrbMjZka2fch0slVkOgAAAACQM2nJdM6fPz9h/uCJCwZOXEglURPmD7zpsQG/ePjrN9cOmJChq7dg4IT5g8+fP5+xTCdN1bJWvjIOld9FpgMAAAAAOZOWTOfzzz8PNnx73Lyvj59PJVdj675+U+1VY+sy1f64eV8PNnz7888/z7tMx7IUTmRdtfXhVlSBFJkOAAAAAORMH2++rly50tPTE41GH9tw09i6q6g8rMc23BSNRnt6eq5cuZLwN5BspuN8lHgeVs6DjyIuMh0AAAAAyJm+Zzq9vb0dHR1HTuybNH/IzY//PZVXNWn+kLc/aOno6Ojt7c1EpkP18yLTAQAAAICc6Xumc/ny5c7OzvPnz2/as2Rs3VU3zfn7G2u/RuW8bprz92Prrtq0Z8n58+e7urouX77s5TeQbKZz+PBh8W9d3m6h0l5kOgAAAACQM32/+bpy5cqlS5c6Ojo+++yzda88OnnB1ePnf33iwoGTFg+avITKdk1aPGjiwoHj53998oIh61559LPPPuvo6Lh06ZJqkI7GOB2qD0WmAwAAAAA5k5ZMR18p+W9/+9tnn332wX+/u3DbxOq1/zJ50eCcLyXTD2vyosHVa/9l4baJH/z3u5999tnf/va3np6er776ikyHykSR6QAAAABAzqTl5kufgdXT09PR0XH+/Pn29vYzZ86cPn361KlTJ5FFp06dOn369JkzZ9rb28+fP9/R0dHT03P58mWXQEcj06H6UGQ6AAAAAJAz6br50kfrXLp0qaurq6OjIxqNfv755+fPnz+HLDp//vznn38ejUY7Ojq6urouXbrkPkLH+Rsg06GSKjIdAAAAAMiZNN58XblyRR+w09vb29PT0x3XhawwLnhPT09vb68+PCdhoKOR6VB9KDIdAAAAAMiZTNx86VHCV8gRj1GO9DdApkMlVWQ6AAAAAJAz3Hyhb5lOZF11deXGSBoCgtaDza0Za7+1qbKibp2kfbEO1lZUl8VqbXOu45KCKDIdAAAAAMgZbr6QF5mOMnNJX2bk4UTKFh3UXzYvItbxVGQ6AAAAAJAz3HyBTKerM9rVstYa4hysraiubcl9aJLnRaYDAAAAADnDzRcylulE1lXHpzLFx790derxjTHFqbq2xbLF0VTy7ZtTqOrWtTRV6kmNkRnpf7SYR1QEN2Q6nopMBwAAAAByhpsvZCbTEacyCX/bxuO0NlWasU5S43QU7XcerDWDIT3ccWY61WXVTZHOaFdnNLKxTjbHSk+LmHuVuMh0AAAAACBnuPlCRjId21Qm42VrfOCMrZLNdFTtW7ebkY010zEH4MiO27youizxgspUtItMBwAAAAByiJsvZCrTiY+FsUUnzYtUE7KSzHRk7Uc21jm2y+ZetaqP27JWPSGLsld6M50LIf9mn89Wr4QiKf2uI8f9KX82ObJuB05n4cBpEzkdTnihjH2yd2EBAAAAJECmgyxnOvEyVr2xZi59a7/vmU7zItvqPJRbpT/T8YcuiJsioVd8vtfCKfyus5vpWLt9IeTf7PMfL4zcw8uFIscBAAAA8hKZDjI290rISuxPlTIqvhRxKnOvZO27zfki00l/ZTzT0bTTAd/mQAqhTi4zHS31bmcfmQ4AAABQsMh0kNU1km2ZixmpqJ4zlYk1kl3nXlHJVHYznchxvzC/SdhTmP1kTHoSY4jwa+ZbykZOB4zZXuHjfnNwkDi1SjpiSNptLRJ6RZiBJeuhl56LL/U/wmb//aEL4ukIEZKsz46PB8KWqxE7Bef1iTiPaHRP3f+wtGMAAAAA0olMB33PdMoqLBWPVBTPGm9ZK+xs5imxdXbsY2SSb198lvnGVMbpKB6dTkkq45lOOGCkEpaRL8KcrAshvxEo2AIgIwoxPqhq5HTAzHf0cMfZuBYJvSKbUSXPdLTwa/GdxUZUf8t6rklOxOhAJPSKz/7Stc+Sj78Wth9OcX3Efcy/FeeiOhAAAACAdCPTQd8ynfwu27I7VLorC2skG8NMLljCFNvoFee0IGG0iBm4qBoJvybmDmYMYd2umFGlznSkjRgv3XuuyHTMo0teSs7F7LNqf0te4+Eiqw5kOS/ZgQAAAACkG5kOiirTsayzI87JojJSWZh7ZaXPohIfiWWPMOLkk5LkjdgH4ERic69iY2Gs5ehhonE65oAdo/GEPVfPvXJut75U9tljs9KLrMp0pOfl3k8AAAAA6UOmg75kOrZZUcVXOQ9N8ryymenoU6ISjRYxxEeLhAPiI6jkjbhlOokfXyXvdjgQn4uU/UxH2mdPzSouMpkOAAAAkJeMmy+K0opgnA6V3TJ+PPrLTGY6tgQh/JpkCInI3C6slaNqRDWNyNgh6W4Ls7RsjfRp7lXiTEfZZy/NernIqgOpzotMBwAAAMiYnOcIVP6Ulnymcziu6LdQ0jJ+PPrLDGc6lljBGE7islJvbP9I6BWfM4awNOK6RrIRc8jjEme3rZ/ytEayfb3keIP6GkPJZDqqPiv3V8RPjuvjWMI58ZWXvAQAAACQPjnPEaj8KY1xOlSSZfx49JeZXU8nHBAXeRGXK074RHAz5lA3IjzLPCQO2xFXbpZmE5KlnaVr7nh9lrlmWwzodCC5TEfRZ/X+sWsSOO1ykc19PD7LnEwHAAAAALKLTMd7HTgRHVv/5Y/nJa6x9V8eOGH5bLLfS85PVlXpzXTyhm0KEgAAAAAAeY9Mx3t5DHSMWEf8rHjNL1261NPT4/695PxkVVUsmY5lUpU4pQgAAAAAgMJApuO9bKnN9fO/fOLVntW7e46evvzVFW37oUsPbOoSdxA/a1zwEydOPP74462tre7fS85PVlXFkunYHltOoAMAAAAAKDRkOt7Llum8+MalNXt69HDn/T9/te9Er20H8bPGBX/nnXdqa2vJdAAAAAAAQJ+Q6XgvW2Tzt84r83Z0638v2tnd3aslm+lc6Wr96m9/0q5c+urCq1cuHte0K8ZuOT9ZVaU50zGeN8aWIt4CAAAAAMiE5DOdg7UV1bUt1o0ta8sq1janKzhoWVtWUW2U/Vhpqdamyoq6da3Rrs7Iuupq8XBlFdVliw5KP2WLbKIXr+x8OzY2596NXafOfpVspnPpg4ndf/T1vFnS/Udf9x99l979kXb5C323nGc3qmKcDgAAAAAAeSHfMp3mRdXWpg7WVlSXVTdF0ptNWDOdyo0R4d3Iumr5EW2RzfJXenp6tYde6LohdPH3R3rvXteZWqbz1fnfX+k41Nt6R/cffb2navTdcp7dqIpMBwAAAACAvJBXmU5kY50sTHHGLn0ut0xHcY6OTOfH876865nOFX/ouaJpxiSsFDKd2Bu957v/+D8uvfuv+qucZzeqItMBAAAAACAvpD/TaW2qlM+cEmc5SQOgyLpqxUwro309i9kYn5xlCYBk7ev7t5hdirWfINOJRjbWOWdgSZ9Z/pMFX37ReeX4x5dvqr/Yp0xH03r+9PWeI9/W/855dkOmAwAAAABAXktzpmNmJWa+U9sSD1ziKYl8PI7ts9K3YoGRHtmIbSra1/ePHyuysc7RT8UgoJa1zh7aIpuHX+za/Mal1Xt6nj3Q8/mXV86c/2rCioseM51IJKJZM50rX77T/UffpRM36C9znt2Q6QAAAAAAkNcykOnIxuDYJ2fJGnHJdIz9zZDI+hFV+6r9vWQ6jhMR85qn9/YcbrtcvjD2cuKKi6fPffXyO70JM53333+/trb24MGDWjzT6Y1M722d0fPG4O4/+r66sEffLefZDZkOAAAAAAB5Le1zr5oXSZ4eFdlYZ3+2VIUjSUmQ6diyGEtnlO1Lxg15znRcx+l88vlXq3f3iFueeLXn1eOJM50vv/xyzZo1u3fv1uKZzqVj/6fnjQGXjo366vxLxm45z27IdAAAAAAAyGvJZzqSVW9kc6kO1gpL2ygWP07csj0zcsl0pO2nmuk0L5I80VzMaw582Hv63FeTn4hNtvrJwi//1Hr5PzZ0Jcx0RLb1dEQ5z27IdAAAAAAAyGvJZzrR5kX2EESagIiZS1fL2jLlGBxrNiSZuiXELpK5VGubO9Xtp5jpJH7u1S9CF7e8cekvF6588MlXze/1ht/p/Y/1lkCHTAcAAAAAAGRQCplOV8vaMnuwEn9pW4bGGp2YQ2nUEU/zomrnyjjmB93XSHa2n0qmY21KqLH1kudeqerm+sSZzuX23/a23il9K+fZDZkOAAAAAAB5LZVMx8xW9LKmMy1ry+Rvic8adx2zY2nBOl7G9ixzy+AgWfveMp0EC/3E68D70Zu9xTrjGzoOvG/5bLLfS86zGzIdAAAAAADyWoqZTq7KbR1lKhtFpgMAAAAAQF4g06GSKjIdAAAAAADyQv5kOs6HkedD5fyy5FuR6QAAAAAAkBfyJ9OhCqLIdAAAAAAAyAv5k+kcPnz48OHDtpf5s4XSi0wHAAAAAIC8kD+ZDlUQRaYDAAAAAEBeINOhkioyHQAAAAAA8gKZDpVUkekAAAAAAJAXyHSopIpMBwAAAACAvECmQyVVZDoAAAAAAOQFMh0qqUpvphMJ+X0K/lBE+pFwwOfz+QLh5N5Kjd6gslFr71UdBgAAAAAgI8h0qKSqH2U6ZqIjaVTe874fOxzIl0YAAAAAAHmOTIdKqjI398pjIpPtTMflSMKbRsTTl6PHGunbCaSlEQAAAABAASDToZKqLGY64jgZc9hOfDfJvCh7C+JYGpeMQ9wtfhj3aVX6gWxbwwHrFlmzQifNt/U35UdUnEIyjVguI1EPAAAAABQPMh0qqcpWpiOZ26S/ZYkoZG/FWnDuJ53NJWkuEE6Q6ehvuq6fo2hW0X9/KCI7ovoUPDfivIws+wMAAAAAxYJMh0qqcjL3ShwXE4szbOlGIGxtwR67KBqPRR72UTGSiEjVHSm3Zq39F7tvmzbldgqeG0nYVQAAAABAwfrPvYcpynsZ6Y3+MtOZjjggRcx0zN2E1EJ4Szqax5ltKOZ7yY9kSDhOx61ZW8oi7iqLY+Sn4LkRkFvAugAAIABJREFU+zgd0h0AAAAAAPopW3qTq7lXqWU6joAmtUwn4Xo6iTMd6RpAXjIdx4gk90YkV5JYBwAAAACA/ihLmY5lKIwlpkhm7lXCJYHlk6QsU5pSee6VW7MucYzsEnh6wpe6EdePAQAAAACA/iOrmY6V5DFO1qEnCdZIlo5QUS9m7J6AyEfR2FIW2XuJ4xijq+pT8NyIx6sAAAAAAACKXbbmXgnZhPH4JstgHA/PMpc/DN1B8dDxxKNarIGJ/QAJnmUufek4KcUpJNOIx6sAAAAAAACKWuYyHQAAAAAAAGQKmQ4AAAAAAEDhIdMBAAAAAAAoPGQ6AAAAAAAAhYdMBwAAAAAAoPCQ6QAAAAAAABQeMh0AAAAAAIDCQ6YDAAAAAABQeMh0AAAAAAAACg+ZDgAAAAAAQOEh0wEAAAAAACg8ZDoAAAAAAACFh0wHAAAAAACg8JDpAAAAAAAAFB4yHQAAAAAAgMJDpgMAAAAAAFB4yHQAAAAAAAAKD5kOAAAAAABA4SHTAQAAAAAAKDxkOgAAAAAAAIWHTAcAAAAAAKDwkOkAAAAAAAAUHjIdAAAAAACAwkOmAwAAAAAAUHjIdAAAAAAAAAoPmQ4AAAAAAEDhKYRMJxLy+/yhSGqfDYfdP2g07uUoRmt96ZLz0Kl8NtF5pdBUWk4KAAAAAABkRVFnOp5iGs+ZTtojj4yeV/abAgAAAAAAWUSmQ6ZDpgMAAAAAQOHJcaZz8uTJe+6558Ybb9y0aZNyJ1vsEg75fTGBsLiPKRC2bImFFtZ9hI2OTMe5p601SxQSkXTIpavpPa9IyO8LhGLbAmFbRuPezzSelLOfAAAAAAAgk3KZ6Zw5c+ZrX/uaEQTU1dXJ97NkHz5r8BIIa47BJsYblu3hgC2dsH3W3DnRnpa/zfctf6u6mvbz0j9ri10kmY7YBeEE03JSqn4CAAAAAICMyWWms2TJEmFsh+9b3/qWfD9r9mEdG2Jsl2UIlsAiEpG+Jfkj0Z7iRkv+I7xUdTX95+V6oIQzy9JyUqp+AgAAAACAjMllprN48WIx0/nmN78p308VTAgvwwHZtB9nkGHuFx9womrcZU/NGn+IR/DQ1TSfl/uBVDGNe1PJn5S8nwAAAAAAIGNymemcPHny7/7u74zgZPbs2fL9kghKjGzBOSdIf8uRXyjmXrntqWUv00l8XvmR6cj7CQAAAAAAMibHayS/8847kyZN+ulPf7py5cre3l75TkkFJZpmBhjiDracIhxQjtNJuKdmy0pso3tUS8z0JdNRn5fHTCfpuVepnpTlAwAAAAAAIFMK6lnmHgehSFc7FnMKfa1fl0xHuqd8aWGX5YT7nOl4OS97y87eu/YzLSel7CcAAAAAAMiUosh0NNnyN+LmQNi6iz8UcYx5ka4OI+4ptmbpSSz4sUw5Stc4nYTn5WzZ0h1x0JGsn+k6KUU/AQAAAABAhhRCpgMAAAAAAAArMh0AAAAAAIDCQ6YDAAAAAABQeMh0AAAAAAAACg+ZDgAAAAAAQOEh0wEAAAAAACg8ZDoAAAAAAACFh0wHAAAAAACg8JDpAAAAAAAAFB4yHQAAAAAAgMJDpgMAAAAAAFB4+nWmEw74fP5QRNgSCfl9Pp8vELZvC4S1SMhv2ztx65aGMikS8usHi52BVTLdzlTvkumDsb/yg+Zppu3cvHQyEg4nd7RwIOcXHwAAAABQpPp1puOIXSIhvy8QsN2GO5Of1BrPICPRkSYT8VAqd9Kd6QiXNtVvJ4VOJnsWOlIdAAAAAEBmFG2mc+HChX379l24cMFtJ3vaod9/W+/CUw4NspfpiB2WBg9ZHTIkkd5Mx7oxtaQllU6meCQhcAMAAAAAIH2KM9Opra0tKSkZPXp0SUnJ7Nmz1Ttab9Nj2Yhlo/nCFjSEzUlO1lQoPiUoJAYpEcfejkMLe5sZjHUqlTQa8BBxiJlOqj2xdEVsLBCKvSGZ+2U5Qijg+LxLs+5zr1Snb3/Hfjxnh6UNWc8i/qOwzfbydkE0huoAAAAAADKiCDOd7du3jxw5Uh+h09HRMXr06DVr1qh2Fm/kjVtvcWSFeT9uCRpsd/b63uKQHj3cEYIZMRkx0g/x0H6/2GQg7Igr5HOoJDvZAgQhpUm1J9ZjW3MuW2Ii67Dyirk06zHTUQ1Bkp+pvcPyCxl2pHGOy+TxgkgvCwAAAAAA6VCEmc64ceMaGxuNlzt37hwzZoxyb+uQGCEEMGMa+3AWW7ZibLfGC+ZettjBeGkeJRLy+0MhR6TkadaOrXXpGslCQJVaT+zJSfy15FIkCljUV8zabMJMJ36m0vfdzlRxTc2DRhzLETk64/GCyHsDAAAAAEAaFGems2XLFuNlgkzHGIhjySPEW/REE4LiL+35gxiI2LdbI5NIyO8PRbRwwDE6x5jKpY4EJJmOckxIqj2RBkWyc1Z02OWKuTfrZYSLNDBRnalLg7a3zDOJ50bCDt4viKxpAAAAAADSoAgznU2bNvn9fnHu1cqVK13212//bUNMJBvTn+nE4wghQgmElQviKKKdtGQ6CXqibFT5hrXDHq+Ys1lPYYgs1OlTpqN3XpwqJst0krggZDoAAAAAgPQrwkxH07RZs2YNGDBg9OjRAwYMCAaDvb29LjvrAYYkBLBtTJTpKOf72J6cJe4WDuhrBwuzv+yPUheoRqQkk+mk1hPVw78ShBWOuVS2TyVsVhlwyeY9eTlTL5mO7adgNGUfQOX9gjD3CgAAAACQfsWZ6WiadubMmX379p05cybxrpGQ3++334o7NybMdCyPjEq8RrKwm3WqldG2t7jGGkG4pyyp9kTf2dIx2aVQdVh5xRI1qx72Yum45IQVZ+ox07EM0jEuhOPxYQkviP18AQAAAABIm6LNdJIRDkiW2rXetGteEop4U3oKkOBZ5sKxzcYcwz+cq7pIuy8ZTaSSak8sa8g45iW5d9jtirk26zrHyf2qyM/U23o6wkn4QxEzyoltlzzcXX1BiHQAAAAAAJlBplME5CNVkB9sKzUBAAAAAJAeZDrFgNggfxG4AQAAAAAyg0ynOJDq5C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" alt="" width="1005" height="416" />

安装 setuptools 有以下两种方法：

• 进入 ez_setup.py 所在的目录，执行命令 python ez_setup.py 进行安装 setuptools，此种情况下需要联网，若是出现如下提示信息，说明 setuptools 安装成功。

c:\Python27>python ez_setup.py
Downloading https://pypi.python.org/packages/source/s/setuptools/setuptools-18.1.zip
Extracting in c:\users\aaron\appdata\local\temp\tmp62danx
Now working in c:\users\aaron\appdata\local\temp\tmp62danx\setuptools-18.1
Installing Setuptools
running install
running bdist_egg
running egg_info
writing requirements to setuptools.egg-info\requires.txt
writing setuptools.egg-info\PKG-INFO
writing top-level names to setuptools.egg-info\top_level.txt
writing dependency_links to setuptools.egg-info\dependency_links.txt
writing entry points to setuptools.egg-info\entry_points.txt
reading manifest file 'setuptools.egg-info\SOURCES.txt'
reading manifest template 'MANIFEST.in'
writing manifest file 'setuptools.egg-info\SOURCES.txt'
installing library code to build\bdist.win-amd64\egg
running install_lib
running build_py
creating build
creating build\lib
copying easy_install.py -> build\lib
creating build\lib\pkg_resources
copying pkg_resources\__init__.py -> build\lib\pkg_resources
creating build\lib\setuptools
copying setuptools\archive_util.py -> build\lib\setuptools
copying setuptools\compat.py -> build\lib\setuptools
copying setuptools\depends.py -> build\lib\setuptools
copying setuptools\dist.py -> build\lib\setuptools
copying setuptools\extension.py -> build\lib\setuptools
copying setuptools\lib2to3_ex.py -> build\lib\setuptools
copying setuptools\msvc9_support.py -> build\lib\setuptools
copying setuptools\package_index.py -> build\lib\setuptools
copying setuptools\py26compat.py -> build\lib\setuptools
copying setuptools\py27compat.py -> build\lib\setuptools
copying setuptools\py31compat.py -> build\lib\setuptools
copying setuptools\sandbox.py -> build\lib\setuptools
copying setuptools\site-patch.py -> build\lib\setuptools
copying setuptools\ssl_support.py -> build\lib\setuptools
copying setuptools\unicode_utils.py -> build\lib\setuptools
copying setuptools\utils.py -> build\lib\setuptools
copying setuptools\version.py -> build\lib\setuptools
copying setuptools\windows_support.py -> build\lib\setuptools
copying setuptools\__init__.py -> build\lib\setuptools
creating build\lib\_markerlib
copying _markerlib\markers.py -> build\lib\_markerlib
copying _markerlib\__init__.py -> build\lib\_markerlib
creating build\lib\pkg_resources\_vendor
copying pkg_resources\_vendor\__init__.py -> build\lib\pkg_resources\_vendor
creating build\lib\pkg_resources\_vendor\packaging
copying pkg_resources\_vendor\packaging\specifiers.py -> build\lib\pkg_resources\_vendor\packaging
copying pkg_resources\_vendor\packaging\version.py -> build\lib\pkg_resources\_vendor\packaging
copying pkg_resources\_vendor\packaging\_compat.py -> build\lib\pkg_resources\_vendor\packaging
copying pkg_resources\_vendor\packaging\_structures.py -> build\lib\pkg_resources\_vendor\packaging
copying pkg_resources\_vendor\packaging\__about__.py -> build\lib\pkg_resources\_vendor\packaging
copying pkg_resources\_vendor\packaging\__init__.py -> build\lib\pkg_resources\_vendor\packaging
creating build\lib\setuptools\command
copying setuptools\command\alias.py -> build\lib\setuptools\command
copying setuptools\command\bdist_egg.py -> build\lib\setuptools\command
copying setuptools\command\bdist_rpm.py -> build\lib\setuptools\command
copying setuptools\command\bdist_wininst.py -> build\lib\setuptools\command
copying setuptools\command\build_ext.py -> build\lib\setuptools\command
copying setuptools\command\build_py.py -> build\lib\setuptools\command
copying setuptools\command\develop.py -> build\lib\setuptools\command
copying setuptools\command\easy_install.py -> build\lib\setuptools\command
copying setuptools\command\egg_info.py -> build\lib\setuptools\command
copying setuptools\command\install.py -> build\lib\setuptools\command
copying setuptools\command\install_egg_info.py -> build\lib\setuptools\command
copying setuptools\command\install_lib.py -> build\lib\setuptools\command
copying setuptools\command\install_scripts.py -> build\lib\setuptools\command
copying setuptools\command\register.py -> build\lib\setuptools\command
copying setuptools\command\rotate.py -> build\lib\setuptools\command
copying setuptools\command\saveopts.py -> build\lib\setuptools\command
copying setuptools\command\sdist.py -> build\lib\setuptools\command
copying setuptools\command\setopt.py -> build\lib\setuptools\command
copying setuptools\command\test.py -> build\lib\setuptools\command
copying setuptools\command\upload_docs.py -> build\lib\setuptools\command
copying setuptools\command\__init__.py -> build\lib\setuptools\command
copying setuptools\script (dev).tmpl -> build\lib\setuptools
copying setuptools\script.tmpl -> build\lib\setuptools
copying setuptools\cli-32.exe -> build\lib\setuptools
copying setuptools\cli-64.exe -> build\lib\setuptools
copying setuptools\cli-arm-32.exe -> build\lib\setuptools
copying setuptools\cli.exe -> build\lib\setuptools
copying setuptools\gui-32.exe -> build\lib\setuptools
copying setuptools\gui-64.exe -> build\lib\setuptools
copying setuptools\gui-arm-32.exe -> build\lib\setuptools
copying setuptools\gui.exe -> build\lib\setuptools
copying setuptools\command\launcher manifest.xml -> build\lib\setuptools\command
creating build\bdist.win-amd64
creating build\bdist.win-amd64\egg
copying build\lib\easy_install.py -> build\bdist.win-amd64\egg
creating build\bdist.win-amd64\egg\pkg_resources
creating build\bdist.win-amd64\egg\pkg_resources\_vendor
creating build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\packaging\specifiers.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\packaging\version.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\packaging\_compat.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\packaging\_structures.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\packaging\__about__.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\packaging\__init__.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging
copying build\lib\pkg_resources\_vendor\__init__.py -> build\bdist.win-amd64\egg\pkg_resources\_vendor
copying build\lib\pkg_resources\__init__.py -> build\bdist.win-amd64\egg\pkg_resources
creating build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\archive_util.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\cli-32.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\cli-64.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\cli-arm-32.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\cli.exe -> build\bdist.win-amd64\egg\setuptools
creating build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\alias.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\bdist_egg.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\bdist_rpm.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\bdist_wininst.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\build_ext.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\build_py.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\develop.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\easy_install.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\egg_info.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\install.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\install_egg_info.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\install_lib.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\install_scripts.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\launcher manifest.xml -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\register.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\rotate.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\saveopts.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\sdist.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\setopt.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\test.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\upload_docs.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\command\__init__.py -> build\bdist.win-amd64\egg\setuptools\command
copying build\lib\setuptools\compat.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\depends.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\dist.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\extension.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\gui-32.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\gui-64.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\gui-arm-32.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\gui.exe -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\lib2to3_ex.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\msvc9_support.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\package_index.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\py26compat.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\py27compat.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\py31compat.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\sandbox.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\script (dev).tmpl -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\script.tmpl -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\site-patch.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\ssl_support.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\unicode_utils.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\utils.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\version.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\windows_support.py -> build\bdist.win-amd64\egg\setuptools
copying build\lib\setuptools\__init__.py -> build\bdist.win-amd64\egg\setuptools
creating build\bdist.win-amd64\egg\_markerlib
copying build\lib\_markerlib\markers.py -> build\bdist.win-amd64\egg\_markerlib
copying build\lib\_markerlib\__init__.py -> build\bdist.win-amd64\egg\_markerlib
byte-compiling build\bdist.win-amd64\egg\easy_install.py to easy_install.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging\specifiers.py to specifiers.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging\version.py to version.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging\_compat.py to _compat.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging\_structures.py to _structures.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging\__about__.py to __about__.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\packaging\__init__.py to __init__.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\_vendor\__init__.py to __init__.pyc
byte-compiling build\bdist.win-amd64\egg\pkg_resources\__init__.py to __init__.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\archive_util.py to archive_util.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\alias.py to alias.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\bdist_egg.py to bdist_egg.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\bdist_rpm.py to bdist_rpm.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\bdist_wininst.py to bdist_wininst.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\build_ext.py to build_ext.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\build_py.py to build_py.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\develop.py to develop.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\easy_install.py to easy_install.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\egg_info.py to egg_info.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\install.py to install.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\install_egg_info.py to install_egg_info.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\install_lib.py to install_lib.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\install_scripts.py to install_scripts.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\register.py to register.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\rotate.py to rotate.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\saveopts.py to saveopts.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\sdist.py to sdist.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\setopt.py to setopt.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\test.py to test.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\upload_docs.py to upload_docs.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\command\__init__.py to __init__.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\compat.py to compat.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\depends.py to depends.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\dist.py to dist.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\extension.py to extension.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\lib2to3_ex.py to lib2to3_ex.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\msvc9_support.py to msvc9_support.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\package_index.py to package_index.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\py26compat.py to py26compat.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\py27compat.py to py27compat.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\py31compat.py to py31compat.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\sandbox.py to sandbox.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\site-patch.py to site-patch.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\ssl_support.py to ssl_support.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\unicode_utils.py to unicode_utils.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\utils.py to utils.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\version.py to version.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\windows_support.py to windows_support.pyc
byte-compiling build\bdist.win-amd64\egg\setuptools\__init__.py to __init__.pyc
byte-compiling build\bdist.win-amd64\egg\_markerlib\markers.py to markers.pyc
byte-compiling build\bdist.win-amd64\egg\_markerlib\__init__.py to __init__.pyc
creating build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\PKG-INFO -> build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\SOURCES.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\dependency_links.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\entry_points.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\requires.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\top_level.txt -> build\bdist.win-amd64\egg\EGG-INFO
copying setuptools.egg-info\zip-safe -> build\bdist.win-amd64\egg\EGG-INFO
creating dist
creating 'dist\setuptools-18.1-py2.7.egg' and adding 'build\bdist.win-amd64\egg' to it
removing 'build\bdist.win-amd64\egg' (and everything under it)
Processing setuptools-18.1-py2.7.egg
Removing c:\python27\lib\site-packages\setuptools-18.1-py2.7.egg
Copying setuptools-18.1-py2.7.egg to c:\python27\lib\site-packages
setuptools 18.1 is already the active version in easy-install.pth
Installing easy_install-script.py script to c:\Python27\Scripts
Installing easy_install.exe script to c:\Python27\Scripts
Installing easy_install-2.7-script.py script to c:\Python27\Scripts
Installing easy_install-2.7.exe script to c:\Python27\Scripts

Installed c:\python27\lib\site-packages\setuptools-18.1-py2.7.egg
Processing dependencies for setuptools==18.1
Finished processing dependencies for setuptools==18.1

• 将下载的 setuptools-18.1.zip 解压，进入解压目录，执行命令 python easy_install.py {setuptools 解压目录}，若是出现如下提示信息，说明 setuptools 安装成功。

d:\DevTool\Python_Selenium\setuptools-18.1>python easy_install.py d:\DevTool\Python_Selenium\setuptools-18.1
Processing setuptools-18.1
Writing d:\DevTool\Python_Selenium\setuptools-18.1\setup.cfg
Running setup.py -q bdist_egg --dist-dir d:\DevTool\Python_Selenium\setuptools-18.1\egg-dist-tmp-1itpwz
Copying setuptools-18.1-py2.7.egg to c:\python27\lib\site-packages
Adding setuptools 18.1 to easy-install.pth file
Installing easy_install-script.py script to C:\Python27\Scripts
Installing easy_install.exe script to C:\Python27\Scripts
Installing easy_install-2.7-script.py script to C:\Python27\Scripts
Installing easy_install-2.7.exe script to C:\Python27\Scripts

Installed c:\python27\lib\site-packages\setuptools-18.1-py2.7.egg
Processing dependencies for setuptools==18.1
Finished processing dependencies for setuptools==18.1

三、安装 pip

安装 pip 也有两种方法：

第一种：打开网址： https://pypi.python.org/pypi/pip ，下载最新的 pip zip 文件，如下图所示，下载后解压至本地文件夹。

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命令行进入对应的解压目录，执行命令 python setup.py install ，进行安装，出现如下信息时，说明成功安装了 pip

creating dist
creating 'dist\pip-7.1.0-py2.7.egg' and adding 'build\bdist.win-amd64\egg' to it
removing 'build\bdist.win-amd64\egg' (and everything under it)
Processing pip-7.1.0-py2.7.egg
creating c:\python27\lib\site-packages\pip-7.1.0-py2.7.egg
Extracting pip-7.1.0-py2.7.egg to c:\python27\lib\site-packages
Adding pip 7.1.0 to easy-install.pth file
Installing pip-script.py script to C:\Python27\Scripts
Installing pip.exe script to C:\Python27\Scripts
Installing pip2.7-script.py script to C:\Python27\Scripts
Installing pip2.7.exe script to C:\Python27\Scripts
Installing pip2-script.py script to C:\Python27\Scripts
Installing pip2.exe script to C:\Python27\Scripts

Installed c:\python27\lib\site-packages\pip-7.1.0-py2.7.egg
Processing dependencies for pip==7.1.0
Finished processing dependencies for pip==7.1.0

第二种，进入网址 ： https://pip.pypa.io/en/stable/installing.html 下载 get-pip.py

下载后，命令行执行 python get-pip.py 安装 pip 即可，在此不再赘述！各位小主，自行探索啊 ^_^

(⊙o⊙)…悲剧，突然想起来，pip 自 python 2.7.9（含）和 Python 3.4（含）之后的版本中均已经包含了 pip，若是安装了此版本，则无需再次安装 pip。我这是。。。苍天啊！我这是傻了了么？只希望有安装低版本的小主们有帮助吧，嘿嘿！

四、安装 Selenium

进入命令行控制台，输入 python -m pip install -U selenium 安装 selenium for python，出现如下所示的信息，说明 selenium 安装成功。

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" alt="" />

至此，Win7 环境下 Python 2.7.10 + Selenium 2.47.1 WebUI自动化测试环境配置完成，恭喜各位小主了，还犹豫什么，赶紧开动您的手指吧，体验 Python + Selenium2 的神奇。

至此， PySe-005-基础环境配置（Win7） 顺利完结，希望此文能够给初学 Python + Selenium2 的您一份参考。

最后，非常感谢亲的驻足，希望此文能对亲有所帮助。热烈欢迎亲一起探讨，共同进步。非常感谢！ ^_^