cider | Hassle-free bootstrapping with Homebrew | Configuration Management library

count_list = [['about', 1], ['almost', 1], ['apple', 1], ['break', 1], ['Singapore', 1], ['cider', 1], ['up', 1], ['day', 1]]
first_proc_count = [['turn', 1], ['there', 1], ['pear', 1], ['up', 1], ['XXXXXX', 0], ['drink', 1], ['near', 1], 

df = pd.DataFrame({'a':[1,2,3], 'b':[4,5,6]})
x_dry = df["a"].tolist()
print(x_dry)

def myfunc(i):
    return 3.14*i + 2.56

mymodeldry = list(map(myfunc, x_dry))
print(mymodeldry)

[1, 2, 3]
[5.7, 8.84, 11.98]

^(?!(?:Honda|Nissan|\d+)$)(\S.*)\n(.*)

import re

text = ("Cider\n"
            "631\n\n"
            "Spruce\n"
            "871\n\n"
            "Honda\n"
            "18813\n\n"
            "Nissan\n"
          

anagram_pairs = [] #  (w_1 from list_A, w_2 from list_B)

for w_1 in list_A:
    for w_2 in list_B:
        if sorted(w_1.lower()) == sorted(w_2.lower()):
            anagram_pairs.append((w_1, w_2))

print(anagram_pairs)

category_dict = {
        ("BEER/ALE/ALCOHOLIC CIDER", ): 1,
        ("CIGARETTES", "CIGARS", "ELECTRONIC SMOKING DEVICES"): 0.25,
        ("COLD CEREAL", ): 0.25,
        ("YOGURT", ): 0.25,
    }

for condition, value in category_dict.it

import re
input_l = ['ICE ERIE', 'ERIE', 'o9 ManGo', 'ManGo SLACKCURRAN 120mL', 'SLACKCURRAN']
reg = re.compile(r'\d*\.?\d+\s*(?:ounce|fl oz|foot|sq ft|pound|gram|inch|sq in|ml)\b', re.I)
print( list(filter(reg.search, input_l)) )
# => 

 pip install "git+https://github.com/salaniz/pycocoevalcap.git"

 Collecting git+https://github.com/salaniz/pycocoevalcap.git
  Cloning https://github.com/salaniz/pycocoevalcap.git to /tmp/pip-req-build-3u0sbfzy
  R

def find_anagrams(seek_word):
    sorted_seek_word = sorted(seek_word.lower())
    for word in open("/usr/share/dict/words"):
        word = word.strip()  # remove trailing newline
        sorted_word = sorted(word.lower())
        if sort

def clean_up(ngrams):
    seen = set()
    for ngram in ngrams:
        if ' ' in ngram:
            seen = seen.union(set(ngram.split()))
    return [ngram for ngram in ngrams if ngram not in seen]


print(clean_up(ngram_list))
# ['apple