In [1]:

    

#-*- coding:utf-8


    

In [2]:

    

strings = "stressed"
print(strings[::-1])


    

    




desserts

In [3]:

    

strings1 = u"パタトクカシーー"
print(strings1[::2])


    

    




パトカー

In [4]:

    

strings_p = u"パトカー"
strings_t = u"タクシー"
strings_sum = ''
for p, t in zip(strings_p, strings_t):
    strings_sum += p + t
print(strings_sum)


    

    




パタトクカシーー

In [5]:

    

strings3 = "Now I need a drink, alcoholic of course, after the heavy lectures involving quantum mechanics."
count_list = [len(i) for i in strings3.split(' ')]
count_list


    

    
Out[5]:





[3, 1, 4, 1, 6, 9, 2, 7, 5, 3, 5, 8, 9, 7, 10]

In [6]:

    

strings4 = "Hi He Lied Because Boron Could Not Oxidize Fluorine. New Nations Might Also Sign Peace Security Clause. Arthur King Can."
strings4 = strings4.replace('.', '')
strings4 = strings4.split(' ')
dictionary = {}
for i in range(len(strings4)):
    if i+1 in [1, 5, 6, 7, 8, 9, 15, 16, 19]:
        dictionary.update({strings4[i][:1]: strings4[i]})
    else:
        dictionary.update({strings4[i][:2]: strings4[i]})
print(dictionary)


    

    




{'K': 'King', 'S': 'Security', 'Ne': 'New', 'Si': 'Sign', 'P': 'Peace', 'Ar': 'Arthur', 'O': 'Oxidize', 'C': 'Could', 'N': 'Not', 'He': 'He', 'Cl': 'Clause', 'Al': 'Also', 'F': 'Fluorine', 'B': 'Boron', 'Na': 'Nations', 'Mi': 'Might', 'Ca': 'Can', 'Li': 'Lied', 'H': 'Hi', 'Be': 'Because'}

In [7]:

    

def ngram(sequence, n, mode='c'):
    if mode == 'c':
        return [sequence[i:i+n] for i in range(len(sequence)-1)]
    elif mode == 'w':
        sequence  = [s.strip(',.') for s in sequence.split(' ')] # スペースや記号を除去した単語リストの生成
        return [tuple(sequence[i:i+n]) for i in range(len(sequence)-1)]
        

sequence = "I am an NLPer"
print(ngram(sequence, 2))
print(ngram(sequence, 2, 'w'))


    

    




['I ', ' a', 'am', 'm ', ' a', 'an', 'n ', ' N', 'NL', 'LP', 'Pe', 'er']
[('I', 'am'), ('am', 'an'), ('an', 'NLPer')]

In [8]:

    

X = set(ngram('paraparaparadise', 2))
Y = (ngram('paragraph', 2))
print(X.intersection(Y))
print(X.union(Y))
print(X.difference(Y))
print('se' in X)
print('se' in Y)


    

    




{'ap', 'ar', 'pa', 'ra'}
{'ap', 'di', 'ad', 'ra', 'gr', 'ag', 'pa', 'ph', 'ar', 'se', 'is'}
{'di', 'ad', 'se', 'is'}
True
False

In [9]:

    

#-*- coding:utf-8 -*-
def print_template(x, y, z):
    return u'%s時の%sは%s' % (x, y, z)

template = print_template(12, u'気温', 22.4)
print(template)


    

    




12時の気温は22.4

In [10]:

    

def cipher(sequence):
    return "".join((map(str, [chr(219-ord(i)) if i.islower() else i for i in sequence])))

strings = "I am an NLPer"
encryption = cipher(strings)
decryption = cipher(encryption)
print(encryption)
print(decryption)


    

    




I zn zm NLPvi
I am an NLPer

In [11]:

    

import random
sequence = "I couldn't believe that I could actually understand what I was reading : the phenomenal power of the human mind."
[s[0]+"".join(map(str, random.sample(s[1:-1], len(s)-2)))+s[-1] if len(s) >= 5 \
 else str(s) for s in sequence.split(' ')]


    

    
Out[11]:





['I',
 "clound't",
 'bivelee',
 'that',
 'I',
 'cluod',
 'aaullcty',
 'ursetnadnd',
 'what',
 'I',
 'was',
 'rdneiag',
 ':',
 'the',
 'pmaonneehl',
 'pewor',
 'of',
 'the',
 'human',
 'mndi.']

In [ ]: