本文主要介绍Python中单词字符串的列表(list)，找出列表中所有单词中前一个单词首字母和后一个单词尾字母相同，组成最长的单词链方法代码，并且每个单词不能多次使用。
例如：
words = ['giraffe', 'elephant', 'ant', 'tiger', 'racoon', 'cat', 'hedgehog', 'mouse']
最长的单词链列表：
['hedgehog', 'giraffe', 'elephant', 'tiger', 'racoon']
words = ['giraffe', 'elephant', 'ant', 'tiger', 'racoon', 'cat', 'hedgehog', 'mouse']
def get_results(_start, _current, _seen):
if all(c in _seen for c in words if c[0] == _start[-1]):
yield _current
else:
for i in words:
if i[0] == _start[-1]:
yield from get_results(i, _current+[i], _seen+[i])
new_d = [list(get_results(i, [i], []))[0] for i in words]
final_d = max([i for i in new_d if len(i) == len(set(i))], key=len)
输出结果：
['hedgehog', 'giraffe', 'elephant', 'tiger', 'racoon']
import networkx as nx
import matplotlib.pyplot as plt
words = ['giraffe', 'elephant', 'ant', 'tiger', 'racoon', 'cat',
'hedgehog', 'mouse']
G = nx.DiGraph()
G.add_nodes_from(words)
for word1 in words:
for word2 in words:
if word1 != word2 and word1[-1] == word2[0]:
G.add_edge(word1, word2)
nx.draw_networkx(G)
plt.show()
print(nx.algorithms.dag.dag_longest_path(G))
