python sentence splitter

>>> from nltk import tokenize
>>> p = "Good morning Dr. Adams. The patient is waiting for you in room number 3."

>>> tokenize.sent_tokenize(p)
['Good morning Dr. Adams.', 'The patient is waiting for you in room number 3.']

Here is what the above code is Doing:
1. We import the sent_tokenize function from the nltk.tokenize module.
2. We create a variable p that contains a string of two sentences.
3. We call the sent_tokenize function on p and print the result.

The sent_tokenize function uses an instance of PunktSentenceTokenizer from the nltk.tokenize.punkt module,
which is already been trained and thus very well knows to mark the end and beginning of sentence.