由于您要求的是一个词，而不是一个字符串，我想提出一个解决方案，这是不敏感的前缀/后缀和忽略大小写:

#!/usr/bin/env python

import re


def is_word_in_text(word, text):
    """
    Check if a word is in a text.

    Parameters
    ----------
    word : str
    text : str

    Returns
    -------
    bool : True if word is in text, otherwise False.

    Examples
    --------
    >>> is_word_in_text("Python", "python is awesome.")
    True

    >>> is_word_in_text("Python", "camelCase is pythonic.")
    False

    >>> is_word_in_text("Python", "At the end is Python")
    True
    """
    pattern = r'(^|[^\w]){}([^\w]|$)'.format(word)
    pattern = re.compile(pattern, re.IGNORECASE)
    matches = re.search(pattern, text)
    return bool(matches)


if __name__ == '__main__':
    import doctest
    doctest.testmod()

如果你的单词可能包含正则表达式特殊字符(例如+)，那么你需要re.escape(word)

解决方案之一是在测试单词的开头和结尾放置一个空格。如果单词位于句首或句尾，或在任何标点符号旁边，则不适用。我的解决方案是编写一个函数，用空格替换测试字符串中的任何标点符号，并在开头和结尾或测试字符串和测试单词之间添加一个空格，然后返回出现的次数。这是一个简单的解决方案，不需要任何复杂的正则表达式。

def countWords(word, sentence):
    testWord = ' ' + word.lower() + ' '
    testSentence = ' '

    for char in sentence:
        if char.isalpha():
            testSentence = testSentence + char.lower()
        else:
            testSentence = testSentence + ' '

    testSentence = testSentence + ' '

    return testSentence.count(testWord)

计算一个单词在字符串中出现的次数:

sentence = "A Frenchman ate an apple"
print(countWords('a', sentence))

返回1

sentence = "Is Oporto a 'port' in Portugal?"
print(countWords('port', sentence))

返回1

使用'if'中的函数来测试单词是否存在于字符串中

高级的方法来检查确切的单词，我们需要在一个长字符串中找到:

import re
text = "This text was of edited by Rock"
#try this string also
#text = "This text was officially edited by Rock" 
for m in re.finditer(r"\bof\b", text):
    if m.group(0):
        print("Present")
    else:
        print("Absent")

如果你想知道一个完整的单词是否在一个以空格分隔的单词列表中，只需使用:

def contains_word(s, w):
    return (' ' + w + ' ') in (' ' + s + ' ')

contains_word('the quick brown fox', 'brown')  # True
contains_word('the quick brown fox', 'row')    # False

这种优雅的方法也是最快的。与Hugh Bothwell和daSong的方法相比:

>python -m timeit -s "def contains_word(s, w): return (' ' + w + ' ') in (' ' + s + ' ')" "contains_word('the quick brown fox', 'brown')"
1000000 loops, best of 3: 0.351 usec per loop

>python -m timeit -s "import re" -s "def contains_word(s, w): return re.compile(r'\b({0})\b'.format(w), flags=re.IGNORECASE).search(s)" "contains_word('the quick brown fox', 'brown')"
100000 loops, best of 3: 2.38 usec per loop

>python -m timeit -s "def contains_word(s, w): return s.startswith(w + ' ') or s.endswith(' ' + w) or s.find(' ' + w + ' ') != -1" "contains_word('the quick brown fox', 'brown')"
1000000 loops, best of 3: 1.13 usec per loop

编辑:Python 3.6+略有不同，同样快:

def contains_word(s, w):
    return f' {w} ' in f' {s} '

拆分字符串，剥离单词和标点符号怎么样?

w in [ws.strip(',.?!') for ws in p.split()]

如有需要，请注意小写或大写:

w.lower() in [ws.strip(',.?!') for ws in p.lower().split()]

也许是这样:

def wcheck(word, phrase):
    # Attention about punctuation and about split characters
    punctuation = ',.?!'
    return word.lower() in [words.strip(punctuation) for words in phrase.lower().split()]

示例:

print(wcheck('CAr', 'I own a caR.'))

我没有检查性能……

您可以将字符串拆分为单词并检查结果列表。

if word in string.split():
    print("success")