From 94c24cf9729ae36422c4b68f36272eee86e925c5 Mon Sep 17 00:00:00 2001
From: Arild <arild@klavaro.se>
Date: Tue, 8 Nov 2016 13:10:13 +0100
Subject: [PATCH] Update ch02.rst

---
 book/ch02.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/book/ch02.rst b/book/ch02.rst
index 4e22f4ce..ec75df0a 100755
--- a/book/ch02.rst
+++ b/book/ch02.rst
@@ -274,6 +274,7 @@ Let's compare genres in their usage of modal verbs.  The first step
 is to produce the counts for a particular genre.  Remember to
 ``import nltk`` before doing the following:
 
+    >>> import nltk
     >>> from nltk.corpus import brown
     >>> news_text = brown.words(categories='news')
     >>> fdist = nltk.FreqDist(w.lower() for w in news_text)