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    <title>question Re: best way to install/integrate numpy scikit to an existing zeppelin install on sandbox in Archives of Support Questions (Read Only)</title>
    <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116597#M22222</link>
    <description>&lt;P&gt;&lt;A rel="user" href="https://community.cloudera.com/users/393/aervits.html" nodeid="393"&gt;@Artem Ervits&lt;/A&gt; your suggestion worked. This is what i ran to get it to run on my sandbox :&lt;/P&gt;&lt;PRE&gt; yum install -y numpy&lt;/PRE&gt;</description>
    <pubDate>Wed, 09 Mar 2016 00:32:37 GMT</pubDate>
    <dc:creator>azeltov</dc:creator>
    <dc:date>2016-03-09T00:32:37Z</dc:date>
    <item>
      <title>best way to install/integrate numpy scikit to an existing zeppelin install on sandbox</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116595#M22220</link>
      <description>&lt;P&gt;Hello Experts!&lt;/P&gt;&lt;P&gt;I noticed that the default zeppelin install on hdp sandbox does not come with numpy and scikit learn packages. I can install pip manager and install the packages manually, but i want to make sure the zeppelin installation will pickup those packages. Anyone added these packages to their cluster?&lt;/P&gt;&lt;P&gt;This is the error that i am getting:&lt;/P&gt;&lt;PRE&gt;Traceback (most recent call last):  File "/tmp/zeppelin_pyspark.py", line 162, in &amp;lt;module&amp;gt;    eval(compiledCode)  File "&amp;lt;string&amp;gt;", line 1, in &amp;lt;module&amp;gt;ImportError: No module named numpy&lt;/PRE&gt;&lt;P&gt;the zeppelin property in ambari zeppelin.install_python_packages is set to false. I tried switching it to true but it does not do anything, its an install only read property i am assuming than.&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Tue, 08 Mar 2016 22:25:59 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116595#M22220</guid>
      <dc:creator>azeltov</dc:creator>
      <dc:date>2016-03-08T22:25:59Z</dc:date>
    </item>
    <item>
      <title>Re: best way to install/integrate numpy scikit to an existing zeppelin install on sandbox</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116596#M22221</link>
      <description>&lt;A rel="user" href="https://community.cloudera.com/users/325/azeltov.html" nodeid="325"&gt;@azeltov&lt;/A&gt;&lt;P&gt;pyspark required numpy in my case, didn't try it in Zepplin but it wouldn't work in pyspark either if you don't have it on your machine &lt;A href="https://github.com/dbist/datamunging" target="_blank"&gt;https://github.com/dbist/datamunging&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 08 Mar 2016 23:10:06 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116596#M22221</guid>
      <dc:creator>aervits</dc:creator>
      <dc:date>2016-03-08T23:10:06Z</dc:date>
    </item>
    <item>
      <title>Re: best way to install/integrate numpy scikit to an existing zeppelin install on sandbox</title>
      <link>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116597#M22222</link>
      <description>&lt;P&gt;&lt;A rel="user" href="https://community.cloudera.com/users/393/aervits.html" nodeid="393"&gt;@Artem Ervits&lt;/A&gt; your suggestion worked. This is what i ran to get it to run on my sandbox :&lt;/P&gt;&lt;PRE&gt; yum install -y numpy&lt;/PRE&gt;</description>
      <pubDate>Wed, 09 Mar 2016 00:32:37 GMT</pubDate>
      <guid>https://community.cloudera.com/t5/Archives-of-Support-Questions/best-way-to-install-integrate-numpy-scikit-to-an-existing/m-p/116597#M22222</guid>
      <dc:creator>azeltov</dc:creator>
      <dc:date>2016-03-09T00:32:37Z</dc:date>
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