summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
-rw-r--r--README.md (renamed from README.txt)16
1 files changed, 9 insertions, 7 deletions
diff --git a/README.txt b/README.md
index a20163a30..e63d2718e 100644
--- a/README.txt
+++ b/README.md
@@ -1,22 +1,24 @@
+[![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.
+ * 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
+* http://www.numpy.org
After installation, tests can be run with:
-python -c 'import numpy; numpy.test()'
+ python -c 'import numpy; numpy.test()'
The most current development version is always available from our
git repository:
-http://github.com/numpy/numpy
+* http://github.com/numpy/numpy