In [18]:
# speaking of fuzzy matching...

from fuzzywuzzy import fuzz, process

SEARCH = 'Anthony'
CHOICES = ['Anth', 'Anthony', 'Anthony Y', 'Bob', 'Bobthony']
STRATS = [fuzz.partial_ratio, fuzz.ratio, fuzz.token_set_ratio]

for strat in STRATS:
    print(f'Results for {strat.__name__}')
    print(process.extract(SEARCH, CHOICES, scorer=strat), end='\n'*2)

Results for partial_ratio
[('Anth', 100), ('Anthony', 100), ('Anthony Y', 100), ('Bobthony', 71), ('Bob', 33)]

Results for ratio
[('Anthony', 100), ('Anthony Y', 88), ('Anth', 73), ('Bobthony', 67), ('Bob', 20)]

Results for token_set_ratio
[('Anthony', 100), ('Anthony Y', 100), ('Anth', 73), ('Bobthony', 67), ('Bob', 20)]
In [19]:
!jupyter nbconvert --to html *.ipynb --output-dir="../../../static/notebooks"

[NbConvertApp] Converting notebook notes.ipynb to html
[NbConvertApp] Writing 578087 bytes to ../../../static/notebooks/notes.html