title: Conda and Anaconda both on Windows machine. Jupyter notebook cannot import Python packages
body: <p>The goal is I'm trying to use autograd in Jupyter Notebook on my Windows 7 machine.</p>
  
  <p>Here is what I have done:</p>
  
  <ul>
  <li>I activated a conda environment, in git bash, using <code>source activate myenv</code></li>
  <li>I installed autograd using <code>conda install -c omnia autograd</code></li>
  <li>I started Jupyter notebook with <code>jupyter notebook</code></li>
  </ul>
  
  <p>Now when I try to import autograd in Jupyter notebook, I have the following error: </p>
  
  <pre><code>No module named 'autograd'
  </code></pre>
  
  <p>So I stopped the Jupyter notebook and tried to use <code>pip</code> to install again. But I have this error:</p>
  
  <pre><code>$ pip install autograd
  Requirement already satisfied: autograd in c:\users\******\appdata\local\conda\conda\envs\myenv\lib\site-packages (1.1.2)
  Requirement already satisfied: numpy&gt;=1.9 in c:\users\******\appdata\local\conda\conda\envs\myenv\lib\site-packages (from autograd) (1.14.5)
  Requirement already satisfied: future in c:\users\******\appdata\local\conda\conda\envs\myenv\lib\site-packages (from autograd) (0.16.0)
  </code></pre>
  
  <p>Apparently, conda thinks it already installs autograd.</p>
  
  <p>So I thought I might have two versions of conda installed? Here are the results of my <code>conda env list</code>:</p>
  
  <pre><code># conda environments:
  #
  base                     C:\ProgramData\Anaconda3
  myenv                 *  C:\Users\******\AppData\Local\conda\conda\envs\myenv
  </code></pre>
  
  <p>And in both conda installations there is a 'pkg' folder, with different packages installed. </p>
  
  <p>My speculation is Jupyter notebook is connected to the 'base' anaconda3, which does not have autograd installed? </p>
  
  <p>My question is simply how can I use autograd in Jupyter notebook, and possibly clean everything up so I do not have two condas installed on my machine?</p>
  
  <p>Here are the results for activate myenv and run <code>conda list</code>:</p>
  
  <pre><code># packages in environment at C:\Users\******\AppData\Local\conda\conda\envs\myenv:
  #
  _py-xgboost-mutex         2.0                       cpu_0  
  autograd                  1.1.2               np112py36_0    omnia
  blas                      1.0                         mkl  
  certifi                   2018.4.16                py36_0  
  chardet                   3.0.4                     &lt;pip&gt;
  Cython                    0.28.4                    &lt;pip&gt;
  django                    2.0.5            py36hd476221_0    anaconda
  future                    0.16.0                   py36_1  
  icc_rt                    2017.0.4             h97af966_0  
  idna                      2.7                       &lt;pip&gt;
  intel-openmp              2018.0.3                      0  
  kaggle                    1.3.12                    &lt;pip&gt;
  libxgboost                0.72                          0  
  m2w64-gcc-libgfortran     5.3.0                         6  
  m2w64-gcc-libs            5.3.0                         7  
  m2w64-gcc-libs-core       5.3.0                         7  
  m2w64-gmp                 6.1.0                         2  
  m2w64-libwinpthread-git   5.0.0.4634.697f757               2  
  mkl                       2018.0.3                      1  
  mkl_fft                   1.0.1            py36h452e1ab_0  
  mkl_random                1.0.1            py36h9258bd6_0  
  msys2-conda-epoch         20160418                      1  
  numpy                     1.12.1           py36hf30b8aa_1  
  numpy-base                1.14.5           py36h5c71026_0  
  pandas                    0.23.1           py36h830ac7b_0  
  pip                       10.0.1                   py36_0  
  py-xgboost                0.72             py36h6538335_0  
  pyodbc                    4.0.23                    &lt;pip&gt;
  python                    3.6.5                h0c2934d_0  
  python-dateutil           2.7.3                    py36_0  
  pytz                      2018.4                   py36_0    anaconda
  requests                  2.19.1                    &lt;pip&gt;
  scikit-learn              0.19.1           py36h53aea1b_0  
  scipy                     1.1.0            py36h672f292_0  
  setuptools                39.2.0                   py36_0  
  six                       1.11.0           py36h4db2310_1  
  tqdm                      4.23.4                    &lt;pip&gt;
  urllib3                   1.22                      &lt;pip&gt;
  vc                        14                   h0510ff6_3  
  vs2015_runtime            14.0.25123                    3  
  wheel                     0.31.1                   py36_0  
  wincertstore              0.2              py36h7fe50ca_0  
  xgboost                   0.72                      &lt;pip&gt;
  </code></pre>