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| author | anatoly techtonik <techtonik@gmail.com> | 2015-12-26 13:50:41 +0300 |
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| committer | anatoly techtonik <techtonik@gmail.com> | 2015-12-26 13:50:41 +0300 |
| commit | 1301507a4a7679a2aaa80b82f4b99af9b84bfa85 (patch) | |
| tree | 3cc6720ec4d388e192b607563a5f405ac0845f38 /README.txt | |
| parent | 76f2870e2f9c821b704ead165e13e173282f0aa9 (diff) | |
| download | numpy-1301507a4a7679a2aaa80b82f4b99af9b84bfa85.tar.gz | |
Update and rename README.txt to README.md
Add Travis build status on the main GitHub page. Prettified markup
Diffstat (limited to 'README.txt')
| -rw-r--r-- | README.txt | 22 |
1 files changed, 0 insertions, 22 deletions
diff --git a/README.txt b/README.txt deleted file mode 100644 index a20163a30..000000000 --- a/README.txt +++ /dev/null @@ -1,22 +0,0 @@ -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 |