1.可以使用easy_install安装相关包，但是可能会不兼容，比如numpy的包。比较可靠的做法是自己下载相应版本的然后安装：
地址为：[http://www.lfd.uci.edu/~gohlke/pythonlibs/](http://www.lfd.uci.edu/~gohlke/pythonlibs/)
2.需要安装的包大致如下：numpy，scipy，matplotlib，scikit-learn；安装matplotlib需要pyparsing，six，dateutil；还需用到nose
3.测试matplotlib代码：
<span class="kwd">import</span><span class="pln"> numpy </span><span class="kwd">as</span><span class="pln"> np</span><span class="kwd">import</span><span class="pln"> matplotlib</span><span class="pun">.</span><span class="pln">pyplot </span><span class="kwd">as</span><span class="pln"> plt</span><span class="pln"> </span><span class="pln">X </span><span class="pun">=</span><span class="pln"> np</span><span class="pun">.</span><span class="pln">arange</span><span class="pun">(-</span><span class="lit">5.0</span><span class="pun">,</span><span class="pln"> </span><span class="lit">5.0</span><span class="pun">,</span><span class="pln"> </span><span class="lit">0.1</span><span class="pun">)</span><span class="pln">Y </span><span class="pun">=</span><span class="pln"> np</span><span class="pun">.</span><span class="pln">arange</span><span class="pun">(-</span><span class="lit">5.0</span><span class="pun">,</span><span class="pln"> </span><span class="lit">5.0</span><span class="pun">,</span><span class="pln"> </span><span class="lit">0.1</span><span class="pun">)</span><span class="pln"> </span><span class="pln">x</span><span class="pun">,</span><span class="pln"> y </span><span class="pun">=</span><span class="pln"> np</span><span class="pun">.</span><span class="pln">meshgrid</span><span class="pun">(</span><span class="pln">X</span><span class="pun">,</span><span class="pln"> Y</span><span class="pun">)</span><span class="pln">f </span><span class="pun">=</span><span class="pln"> </span><span class="lit">17</span><span class="pln"> </span><span class="pun">*</span><span class="pln"> x </span><span class="pun">**</span><span class="pln"> </span><span class="lit">2</span><span class="pln"> </span><span class="pun">-</span><span class="pln"> </span><span class="lit">16</span><span class="pln"> </span><span class="pun">*</span><span class="pln"> np</span><span class="pun">.</span><span class="pln">abs</span><span class="pun">(</span><span class="pln">x</span><span class="pun">)</span><span class="pln"> </span><span class="pun">*</span><span class="pln"> y </span><span class="pun">+</span><span class="pln"> </span><span class="lit">17</span><span class="pln"> </span><span class="pun">*</span><span class="pln"> y </span><span class="pun">**</span><span class="pln"> </span><span class="lit">2</span><span class="pln"> </span><span class="pun">-</span><span class="pln"> </span><span class="lit">225</span><span class="pln"> </span><span class="pln">fig </span><span class="pun">=</span><span class="pln"> plt</span><span class="pun">.</span><span class="pln">figure</span><span class="pun">()</span><span class="pln">cs </span><span class="pun">=</span><span class="pln"> plt</span><span class="pun">.</span><span class="pln">contour</span><span class="pun">(</span><span class="pln">x</span><span class="pun">,</span><span class="pln"> y</span><span class="pun">,</span><span class="pln"> f</span><span class="pun">,</span><span class="pln"> </span><span class="lit">0</span><span class="pun">,</span><span class="pln"> colors </span><span class="pun">=</span><span class="pln"> </span><span class="str">'r'</span><span class="pun">)</span><span class="pln">plt</span><span class="pun">.</span><span class="pln">show</span><span class="pun">()</span></pre></div>4.测试scikit-learn请自行查看手册：[http://cbio.ensmp.fr/~nvaroquaux/scikit-learn/user_guide.html](http://cbio.ensmp.fr/~nvaroquaux/scikit-learn/user_guide.html)</div>Have fun!
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