本文实例讲述了Python实现数据结构线性链表（单链表）算法。分享给大家供大家参考，具体如下：

初学python，拿数据结构中的线性链表存储结构练练手，理论比较简单，直接上代码。

#!/usr/bin/python# -*- coding:utf-8 -*-# Author: Hui# Date: 2017-10-13# 结点类，class Node: def __init__(self, data): self.data = data # 数据域 self.next = None # 指针域 def get_data(self): return self.data# 链表类class List: def __init__(self, head): self.head = head # 默认初始化头结点 def is_empty(self): # 空链表判断 return self.get_len() == 0 def get_len(self): # 返回链表长度 length = 0 temp = self.head while temp is not None: length += 1 temp = temp.next return length def append(self, node): # 追加结点（链表尾部追加） temp = self.head while temp.next is not None: temp = temp.next temp.next = node def delete(self, index): # 删除结点 if index < 1 or index > self.get_len(): print "给定位置不合理" return if index == 1: self.head = self.head.next return temp = self.head cur_pos = 0 while temp is not None: cur_pos += 1 if cur_pos == index-1: temp.next = temp.next.next temp = temp.next def insert(self, pos, node): # 插入结点 if pos < 1 or pos > self.get_len(): print "插入结点位置不合理..." return temp = self.head cur_pos = 0 while temp is not Node: cur_pos += 1 if cur_pos == pos-1: node.next = temp.next temp.next =node break temp = temp.next def reverse(self, head): # 反转链表 if head is None and head.next is None: return head pre = head cur = head.next while cur is not None: temp = cur.next cur.next = pre pre = cur cur = temp head.next = None return pre def print_list(self, head): # 打印链表 init_data = [] while head is not None: init_data.append(head.get_data()) head = head.next return init_dataif __name__ == '__main__': head = Node("head") list = List(head) print '初始化头结点：\t', list.print_list(head) for i in range(1, 10): node = Node(i) list.append(node) print '链表添加元素：\t', list.print_list(head) print '链表是否空：\t', list.is_empty() print '链表长度：\t', list.get_len() list.delete(9) print '删除第9个元素:\t',list.print_list(head) node = Node("insert") list.insert(3, node) print '第3个位置插入‘insert'字符串 :\t', list.print_list(head) head = list.reverse(head) print '链表反转：', list.print_list(head)

执行结果：

更多关于Python相关内容感兴趣的读者可查看本站专题：《Python数据结构与算法教程》、《Python加密解密算法与技巧总结》、《Python编码操作技巧总结》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》及《Python入门与进阶经典教程》

希望本文所述对大家Python程序设计有所帮助。