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string - Reading a text file and splitting it into single words in python

I have this text file made up of numbers and words, for example like this - 09807754 18 n 03 aristocrat 0 blue_blood 0 patrician and I want to split it so that each word or number will come up as a new line.

A whitespace separator would be ideal as I would like the words with the dashes to stay connected.

This is what I have so far:

f = open('words.txt', 'r')
for word in f:
    print(word)

not really sure how to go from here, I would like this to be the output:

09807754
18
n
3
aristocrat
...
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Given this file:

$ cat words.txt
line1 word1 word2
line2 word3 word4
line3 word5 word6

If you just want one word at a time (ignoring the meaning of spaces vs line breaks in the file):

with open('words.txt','r') as f:
    for line in f:
        for word in line.split():
           print(word)    

Prints:

line1
word1
word2
line2
...
word6 

Similarly, if you want to flatten the file into a single flat list of words in the file, you might do something like this:

with open('words.txt') as f:
    flat_list=[word for line in f for word in line.split()]

>>> flat_list
['line1', 'word1', 'word2', 'line2', 'word3', 'word4', 'line3', 'word5', 'word6']

Which can create the same output as the first example with print ' '.join(flat_list)...

Or, if you want a nested list of the words in each line of the file (for example, to create a matrix of rows and columns from a file):

with open('words.txt') as f:
    matrix=[line.split() for line in f]

>>> matrix
[['line1', 'word1', 'word2'], ['line2', 'word3', 'word4'], ['line3', 'word5', 'word6']]

If you want a regex solution, which would allow you to filter wordN vs lineN type words in the example file:

import re
with open("words.txt") as f:
    for line in f:
        for word in re.findall(r'wordd+', line):
            # wordN by wordN with no lineN

Or, if you want that to be a line by line generator with a regex:

 with open("words.txt") as f:
     (word for line in f for word in re.findall(r'w+', line))

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