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authorYoni Ben-Meshulam <yoni@nestlabs.com>2014-05-08 19:11:03 -0700
committerCharles Harris <charlesr.harris@gmail.com>2014-05-29 16:33:47 -0600
commit631ae81db93e5c6f15198257a172a2f9139ca812 (patch)
tree807634eeceabf3b4b7df8de1336916f0e1f71b8f /doc/source/user
parentd1a2f7d92ff00d4e01e3a99124c76b99f561bfc9 (diff)
downloadnumpy-631ae81db93e5c6f15198257a172a2f9139ca812.tar.gz
DOC: Fix typos, punctuation, and grammar.
Diffstat (limited to 'doc/source/user')
-rw-r--r--doc/source/user/whatisnumpy.rst6
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/source/user/whatisnumpy.rst b/doc/source/user/whatisnumpy.rst
index 1c3f96b8b..80609862b 100644
--- a/doc/source/user/whatisnumpy.rst
+++ b/doc/source/user/whatisnumpy.rst
@@ -106,7 +106,7 @@ code has many advantages, among which are:
- vectorization results in more "Pythonic" code (without
vectorization, our code would still be littered with inefficient and
- difficult to read ``for`` loops.
+ difficult to read ``for`` loops)
Broadcasting is the term used to describe the implicit
element-by-element behavior of operations; generally speaking, in
@@ -122,7 +122,7 @@ unambiguous (for detailed "rules" of broadcasting see
NumPy fully supports an object-oriented approach, starting, once
again, with `ndarray`. For example, `ndarray` is a class, possessing
-numerous methods and attributes. Many, of it's methods mirror
-functions in the outer-most NumPy namespace, giving the programmer has
+numerous methods and attributes. Many of it's methods mirror
+functions in the outer-most NumPy namespace, giving the programmer
complete freedom to code in whichever paradigm she prefers and/or
which seems most appropriate to the task at hand.