title: numpy.disutils.system_info.NotFoundError: no lapack/blas resources found
body: <p>Problem:  Linking numpy to correct Linear Algebra libraries. Process is so complicated that I might be looking for the solution 6th time and I have no idea whats going wrong. I am on Ubuntu 12.04.5.
  I reinstalled blas and lapack and then reinstalled numpy using pip. I did that in system environment and then also tried in virtualenv environment. None of the things seem to be working. </p>
  
  <p>Here is my <code>numpy.__config__.show()</code>:</p>
  
  <pre><code>lapack_info:
    NOT AVAILABLE
  lapack_opt_info:
    NOT AVAILABLE
  openblas_lapack_info:
    NOT AVAILABLE
  blas_info:
    NOT AVAILABLE
  atlas_3_10_blas_threads_info:
    NOT AVAILABLE
  atlas_threads_info:
    NOT AVAILABLE
  blas_src_info:
    NOT AVAILABLE
  atlas_3_10_threads_info:
    NOT AVAILABLE
  atlas_blas_info:
    NOT AVAILABLE
  atlas_3_10_blas_info:
    NOT AVAILABLE
  lapack_src_info:
    NOT AVAILABLE
  atlas_blas_threads_info:
    NOT AVAILABLE
  openblas_info:
    NOT AVAILABLE
  blas_mkl_info:
    NOT AVAILABLE
  blas_opt_info:
    NOT AVAILABLE
  atlas_info:
    NOT AVAILABLE
  atlas_3_10_info:
    NOT AVAILABLE
  lapack_mkl_info:
    NOT AVAILABLE
  mkl_info:
    NOT AVAILABLE
  </code></pre>
  
  <p>This is a very common error and has lots of solution depending on the user's environment and history. I recently went through the whole process of installing BLAS and LAPACK as instructed here: <a href="https://stackoverflow.com/a/9173550/3413239">https://stackoverflow.com/a/9173550/3413239</a>. 
  I was able to successfully install both. </p>
  
  <p>However, I initially had these libraries: (<code>ls /usr/lib | grep blas</code>)</p>
  
  <pre><code>libopenblas.so.0
  openblas-base/
  libblas.so.3gf
  libblas.3
  </code></pre>
  
  <p>How should I link my numpy to linear algebra libraries. Is it mandatory to have all the linaear algebra libraries? i.e. lapack, blas, atlas? </p>
  
  <p>I am assuming once the numpy is linked all other modules like scipy and Orange will work. </p>