忍不住想报一句粗口“卧槽”这尼玛python的数据结构也太特么方便了吧

想到当初学c语言的数据结构的时候,真的是一笔一划都要自己写出来,这python尼玛直接一个模块就ok

真的是没有对比就没有伤害啊,之前试着用类来模拟栈与队列的时候就感觉,我擦这还挺方便的。

现在直接就可以import了,直接使用函数了,唉,这这这现在只想说一声,

人生苦短,我用python

当然栈好像没有这个库

.栈(stacks)是一种只能通过访问其一端来实现数据存储与检索的线性数据结构,具有后进先出(last in first out,LIFO)的特征

我们可以用这张图来说明栈的应用,那么栈呢有以下功能

    def push(self, num):
# 把一个元素添加到栈的最顶层
def pop(self):
# 删除栈最顶层的元素,并返回这个元素
def peek(self):
# 返回最顶层的元素,并不删除它
def isEmpty(self):
# 判断栈是否为空
def size(self):
# 返回栈中元素的个数

我们这里用顺序来实现栈的功能

class Stack(object):
def __init__(self):
self.__Stack = []
def push(self, num):
# 把一个元素添加到栈的最顶层
self.__Stack.append(num)
def pop(self):
# 删除栈最顶层的元素,并返回这个元素
return self.__Stack.pop()
def peek(self):
return self.__Stack[len(self.__Stack)-1]
# 返回最顶层的元素,并不删除它
def isEmpty(self):
return self.__Stack == []
# 判断栈是否为空
def size(self):
return len(self.__Stack)
# 返回栈中元素的个数 s = Stack()

当然如果你愿意的话同样可以构成一个链式的栈

队列(queue·)我操,这个就厉害了直接导入一个函数就ok了

import queue

我们不妨大胆的help一下    help(queue)

就有了这样的东西

我们只需要关注 queue 和lifoqueue(先进先出队列),priorityqueue(优先级队列)

当然一般的queue都是先进后出啦,

 empty(self)
| Return True if the queue is empty, False otherwise (not
reliable!).
|
| This method is likely to be removed at some point. Use
qsize() == 0
| as a direct substitute, but be aware that either approach
risks a race
| condition where a queue can grow before the result of
empty() or
| qsize() can be used.
|
| To create code that needs to wait for all queued tasks to
be
| completed, the preferred technique is to use the join()
method.
|
| full(self)
| Return True if the queue is full, False otherwise (not
reliable!).
|
| This method is likely to be removed at some point. Use
qsize() >= n
| as a direct substitute, but be aware that either approach
risks a race
| condition where a queue can shrink before the result of
full() or
| qsize() can be used.
|
| get(self, block=True, timeout=None)
| Remove and return an item from the queue.
|
| If optional args 'block' is true and 'timeout' is None (the
default),
| block if necessary until an item is available. If 'timeout' is
| a non-negative number, it blocks at most 'timeout'
seconds and raises
| the Empty exception if no item was available within that
time.
| Otherwise ('block' is false), return an item if one is
immediately
| available, else raise the Empty exception ('timeout' is
ignored
| in that case).
|
| get_nowait(self)
| Remove and return an item from the queue without
blocking.
|
| Only get an item if one is immediately available.
Otherwise
| raise the Empty exception.
|
| join(self)
| Blocks until all items in the Queue have been gotten and
processed.
|
| The count of unfinished tasks goes up whenever an item
is added to the
| queue. The count goes down whenever a consumer
thread calls task_done()
| to indicate the item was retrieved and all work on it is
complete.
|
| When the count of unfinished tasks drops to zero, join()
unblocks.
|
| put(self, item, block=True, timeout=None)
| Put an item into the queue.
|
| If optional args 'block' is true and 'timeout' is None (the
default),
| block if necessary until a free slot is available. If 'timeout'
is
| a non-negative number, it blocks at most 'timeout'
seconds and raises
| the Full exception if no free slot was available within that
time.
| Otherwise ('block' is false), put an item on the queue if a
free slot
| is immediately available, else raise the Full exception
('timeout'
| is ignored in that case).
|
| put_nowait(self, item)
| Put an item into the queue without blocking.
|
| Only enqueue the item if a free slot is immediately
available.
| Otherwise raise the Full exception.
|
| qsize(self)
| Return the approximate size of the queue (not reliable!).
|
| task_done(self)
| Indicate that a formerly enqueued task is complete.
|
| Used by Queue consumer threads. For each get() used
to fetch a task,
| a subsequent call to task_done() tells the queue that the
processing
| on the task is complete.
|
| If a join() is currently blocking, it will resume when all
items
| have been processed (meaning that a task_done() call
was received
| for every item that had been put() into the queue).
|
| Raises a ValueError if called more times than there were
items
| placed in the queue.

好啦这是直接help出来的,总结一下就是

get(self, block=True, timeout=None) # 出队列

put(self, item, block=True, timeout=None) # 进队列 block是堵塞的意思,如果等于false则报错,

task_done(self) # 指示以前加入队列的任务已完成

python之 栈与队列的更多相关文章

  1. 【DataStructure In Python】Python模拟栈和队列

    用Python模拟栈和队列主要是利用List,当然也可以使用collection的deque.以下内容为栈: #! /usr/bin/env python # DataStructure Stack ...

  2. 使用python实现栈和队列

    1.使用python实现栈: class stack(): def __init__(self): self.stack = [] def empty(self): return self.stack ...

  3. Python实现栈、队列

    目录 1. 栈的Python实现 1.1 以列表的形式简单实现栈 1.2 以单链表形式实现栈 2. 队列的Python实现 2.1 以列表实现简单队列 2.2 以单链表形式实现队列   本文将使用py ...

  4. python之栈与队列

    这个在官网中list支持,有实现. 补充一下栈,队列的特性: 1.栈(stacks)是一种只能通过访问其一端来实现数据存储与检索的线性数据结构,具有后进先出(last in first out,LIF ...

  5. Python 实现栈与队列

    #基于Python2.7 #基于顺序表实现 #发现用Python写题时,没有像写C++时方便的STL可用,不过查阅资料之后发现用class实现也很简洁,不过效率应该不是很高 Python实现栈并使用: ...

  6. python之栈和队列

    1. 栈 1.1 示例 #!/usr/bin/env python # -*- codinfg:utf-8 -*- ''' @author: Jeff LEE @file: .py @time: 20 ...

  7. Python数据结构——栈、队列的实现(二)

    1. 一个列表实现两个栈 class Twostacks(object): def __init__(self): self.stack=[] self.a_size=0 self.b_size=0 ...

  8. Python数据结构——栈、队列的实现(一)

    1. 栈 栈(Stack)是限制插入和删除操作只能在一个位置进行的表,该位置是表的末端,称为栈的顶(top).栈的基本操作有PUSH(入栈)和POP(出栈).栈又被称为LIFO(后入先出)表. 1.1 ...

  9. Python的栈和队列实现

    栈 class Node: def __init__(self, data=None): self.next = None self.data = data class Stack: def __in ...

随机推荐

  1. CentOS 7的安装与部署 01

    01 虚拟软件的安装与配置 虚拟机(Virtual Machine)指通过软件模拟的具有完整硬件系统功能的.运行在一个完全隔离环境中的完整计算机系统.在实体计算机中能够完成的工作在虚拟机中都能够实现. ...

  2. 【折半枚举+二分】POJ 3977 Subset

    题目内容 Vjudge链接 给你\(n\)个数,求出这\(n\)个数的一个非空子集,使子集中的数加和的绝对值最小,在此基础上子集中元素的个数应最小. 输入格式 输入含多组数据,每组数据有两行,第一行是 ...

  3. 机器分配----线性dp难题(对于我来说)

    题目: 总公司拥有高效设备M台, 准备分给下属的N个分公司.各分公司若获得这些设备,可以为国家提供一定的盈利.问:如何分配这M台设备才能使国家得到的盈利最大?求出最大盈利值.其中M <= 15, ...

  4. BlockCanary界面卡顿检测

    添加依赖: implementation 'com.github.markzhai:blockcanary-android:1.5.0' 运行后会同时安装检测工具,主要检测UI线程运行卡顿现象 pub ...

  5. mysql幻读、MVCC、间隙锁、意向锁(IX\IS)

    IO即性能 顺序主键写性能很高,由于B+树的结构,主键如果是顺序的,则磁盘页的数据会按顺序填充,减少数据移动,随机主键则可能由于记录移动产生很多io 查询二级索引时,会再根据主键id获取数据页,产生一 ...

  6. JavaScript动态显示时间

    <body> <div></div> <script> var div = document.querySelector('div'); retNowT ...

  7. css-2d,3d,过渡,动画

    css2d CSS3 转换可以对元素进行移动.缩放.转动.拉长或拉伸. 2D变换方法: translate()方法,根据左(X轴)和顶部(Y轴)位置给定的参数,从当前元素位置移动 transform: ...

  8. 4G DTU的应用场景介绍

    4G DTU因为信号要比传统的gprs网络要好,目前已经被广泛应用于物联网产业链中的M2M行业,以远向4G DTU LTE-520为例,它的应用场景如智能电网.智能交通.智能家居.金融.移动 POS ...

  9. pytho爬虫使用bs4 解析页面和提取数据

    页面解析和数据提取 关注公众号"轻松学编程"了解更多. 一般来讲对我们而言,需要抓取的是某个网站或者某个应用的内容,提取有用的价值.内容一般分为两部分,非结构化的数据 和 结构化的 ...

  10. python开发基础(二)-运算符以及数据类型

    ##运算符 算数运算符: ---> 赋值运算符 >>>返回结果为值 + # 加 - # 减 * # 乘 / # 除以 ** # 幂运算 % # 取余数 // # 取商 #### ...