From 56c0ae7992e25b2a029a1416fec220abbb1ff935 Mon Sep 17 00:00:00 2001 From: Jens Rantil Date: Sun, 10 Jun 2012 19:59:12 +0200 Subject: [PATCH 1/2] Correct capitalization of "NumPy" --- docs/scenarios/scientific.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/scenarios/scientific.rst b/docs/scenarios/scientific.rst index 37e60bd3a..9c8d70890 100644 --- a/docs/scenarios/scientific.rst +++ b/docs/scenarios/scientific.rst @@ -16,7 +16,7 @@ for matrix operations). The main libraries used are NumPy and SciPy Libraries ::::::::: -Numpy +NumPy ----- `NumPy `_ is a low level library written in C (and FORTRAN) for high level mathematical functions. NumPy cleverly overcomes the From d0774acdf300e7c72aade60864c36f9e2abd16c9 Mon Sep 17 00:00:00 2001 From: Jens Rantil Date: Sun, 10 Jun 2012 20:00:32 +0200 Subject: [PATCH 2/2] Add cross references to `NumPy`and `SciPy` --- docs/scenarios/scientific.rst | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/docs/scenarios/scientific.rst b/docs/scenarios/scientific.rst index 9c8d70890..0b2c16510 100644 --- a/docs/scenarios/scientific.rst +++ b/docs/scenarios/scientific.rst @@ -11,7 +11,8 @@ and it performs really well. Due to its high performance nature, scientific computing in python often refers to external libraries, typically written in faster languages (like C, or FORTRAN -for matrix operations). The main libraries used are NumPy and SciPy +for matrix operations). The main libraries used are `NumPy`_ and +`SciPy`_. Libraries :::::::::