创建一个长英文字符串，给出字符串中的单词（应删除标点符号）组成的列表，计算单词总数量

"The quick brown fox jumps over the lazy dog. She sells seashells by the seashore. Peter Piper picked a peck of pickled peppers. How much wood would a woodchuck chuck, if a woodchuck could chuck wood?"

单词列表：The, quick, brown, fox, jumps, over, the, lazy, dog, She, sells, seashells, by, the, seashore, Peter, Piper, picked, a, peck, of, pickled, peppers, How, much, wood, would, a, woodchuck, chuck, if, a, woodchuck, could, chuck, wood

共计30个单词。

相关问题

用Python创建一个长英文字符串，给出字符串中的单词（应删除标点符号）组成的列表，计算单词总数量

可以使用以下代码创建长英文字符串，给出单词列表并计算单词总数量：

import string

# 创建长英文字符串
long_string = """In the beginning God created the heavens and the earth. Now the earth was formless and empty, darkness was over the surface of the deep, and the Spirit of God was hovering over the waters."""

# 删除标点符号
translator = str.maketrans('', '', string.punctuation)
long_string = long_string.translate(translator)

# 给出单词列表
word_list = long_string.split()

# 计算单词总数量
word_count = len(word_list)

print(word_list)
print(word_count)

输出为：

['In', 'the', 'beginning', 'God', 'created', 'the', 'heavens', 'and', 'the', 'earth', 'Now', 'the', 'earth', 'was', 'formless', 'and', 'empty', 'darkness', 'was', 'over', 'the', 'surface', 'of', 'the', 'deep', 'and', 'the', 'Spirit', 'of', 'God', 'was', 'hovering', 'over', 'the', 'waters']
35

在Python中，创建一个长英文字符串，给出字符串中的单词（应删除标点符号），计算单词总数量 -提示：用列表推导

以下是一个示例：

text = "Python is a high-level programming language, with applications in numerous areas, including web programming, scripting, scientific computing, and artificial intelligence. It is very popular and used by organizations such as Google, NASA, and CERN. Python's design philosophy emphasizes code readability and ease of use, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java."

# 将标点符号替换为空格，然后按空格分割字符串，得到单词列表
words = text.replace(",", "").replace(".", "").replace("'", "").split()

# 使用列表推导计算单词总数
word_count = len([word for word in words])

print("单词总数为：", word_count)

输出结果为：

单词总数为： 63