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+[![Travis](https://img.shields.io/travis/numpy/numpy.svg)](https://travis-ci.org/numpy/numpy) 
+
+NumPy is the fundamental package needed for scientific computing with Python.
+This package contains:
+
+   * a powerful N-dimensional array object
+   * sophisticated (broadcasting) functions
+   * tools for integrating C/C++ and Fortran code
+   * useful linear algebra, Fourier transform, and random number capabilities.
+
+It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.
+
+More information can be found at the website:
+
+* http://www.numpy.org
+
+After installation, tests can be run with:
+
+    python -c 'import numpy; numpy.test()'
+
+The most current development version is always available from our
+git repository:
+
+* http://github.com/numpy/numpy