From bd5b0e09172007da6f4cfaa38aa766966be3ee85 Mon Sep 17 00:00:00 2001
From: Paul McCarthy <pauldmccarthy@gmail.com>
Date: Fri, 2 Feb 2018 11:12:29 +0000
Subject: [PATCH] Clarification on vectors in numpy
---
getting_started/04_numpy.ipynb | 10 ++++++++--
getting_started/04_numpy.md | 10 ++++++++--
2 files changed, 16 insertions(+), 4 deletions(-)
diff --git a/getting_started/04_numpy.ipynb b/getting_started/04_numpy.ipynb
index e877863..8c7f1d7 100644
--- a/getting_started/04_numpy.ipynb
+++ b/getting_started/04_numpy.ipynb
@@ -775,8 +775,14 @@
"source": [
"> Here we used a handy feature of the `reshape` method - if you pass `-1` for\n",
"> the size of one dimension, it will automatically determine the size to use\n",
- "> for that dimension. Take a look at [the\n",
- "> appendix](#appendix-vectors-in-numpy) for a discussion on vectors in Numpy.\n",
+ "> for that dimension.\n",
+ "\n",
+ "\n",
+ "Note that Numpy treats row and column vectors differently than in Matlab,\n",
+ "which is a potential source of confusion for those of you who are used to\n",
+ "Matlab's linear algebra-based take on things. You might wish to take a break\n",
+ "now to read [the appendix](#appendix-vectors-in-numpy) for a discussion on\n",
+ "vectors in Numpy.\n",
"\n",
"\n",
"Here is a more useful example, where we use broadcasting to de-mean the rows\n",
diff --git a/getting_started/04_numpy.md b/getting_started/04_numpy.md
index dce3532..a97a694 100644
--- a/getting_started/04_numpy.md
+++ b/getting_started/04_numpy.md
@@ -576,8 +576,14 @@ print(a * b.reshape(-1, 1))
> Here we used a handy feature of the `reshape` method - if you pass `-1` for
> the size of one dimension, it will automatically determine the size to use
-> for that dimension. Take a look at [the
-> appendix](#appendix-vectors-in-numpy) for a discussion on vectors in Numpy.
+> for that dimension.
+
+
+Note that Numpy treats row and column vectors differently than in Matlab,
+which is a potential source of confusion for those of you who are used to
+Matlab's linear algebra-based take on things. You might wish to take a break
+now to read [the appendix](#appendix-vectors-in-numpy) for a discussion on
+vectors in Numpy.
Here is a more useful example, where we use broadcasting to de-mean the rows
--
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