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python基础班

python基础班

1-1 linux基础

01-课程简介

02-操作系统简介

03-linux命令简介

04-目录相关命令

05-文件相关命令

06-远程管理命令

07-用户权限

08-组管理

09-用户管理

10-系统信息

11-其他命令

12-打包压缩

13-ubuntu软件安装

14-vi编辑器

1-2 python基础

01-python简介

02-第一个程序

03-python执行方式和pycharm设置

04-程序的注释和算术运算符

05-程序执行原理

06-变量的使用以及类型

07-变量的计算和输入输出

08-变量的命名

09-if判断语句

10-石头剪刀布

11-while循环基本使用

12-循环嵌套

13-函数的基本使用

14-函数的参数和返回值

15-函数的嵌套调用

16-模块的简介

17-列表

18-元祖

19-字典

20-字符串

21-容器类型公共方法

22-名片管理系统

23-变量的引用以及是否可变

24-局部变量和全局变量

25-函数的返回值和参数进阶

1-3 面向对象

01-面向对象基础

02-面向对象练习

03-单继承和方法的重写

04-私有方法和属性

05-多继承

06-多态

07-类属性、类方法、静态方法

08-单例模式

09-异常

10-模块和包

11-文件操作

12-文本编码

13-内建函数eval

1-4 项目飞机大战

01-项目准备

02-游戏窗口和绘制图像

03-游戏循环和键盘事件

04-精灵和精灵组

05-框架搭建

06-背景图像

07-敌人飞机

08-英雄飞机

09-发射子弹以及碰撞检测

python就业班 [71.35G]

01 网络编程 [954.87M]

01-基本概念 [233.87M]

01-网络通信概述.flv [27.99M]

02-ip地址.flv [30.57M]

03-linux、windows查看网卡信息.flv [33.32M]

04-ip地址的分类-ipv4和ipv6介绍.flv [45.65M]

05-（重点）端口.mp4 [41.88M]

06-端口分类：知名端口、动态端口.flv [16.94M]

07-socket介绍.mp4 [37.52M]

02-udp [345.30M]

01-udp发送数据demo-1.flv [56.67M]

02-udp发送数据-demo-2.flv [12.14M]

03-关闭vmware的虚拟网卡（了解）.flv [8.89M]

04-udp发送数据的强调.flv [9.25M]

05-（重点）运行python程序以及python交互模式，encode编码，发送udp的练习.flv [28.30M]

06-（重点）接收udp数据.flv [65.62M]

07-（重点）端口绑定的问题.flv [36.42M]

08-网络中重要概念复习.flv [24.49M]

09-输入对方ip、port、全双工、半双工、单工等.flv [51.26M]

10-案例：udp聊天器.flv [52.25M]

03-tcp客户端 [71.82M]

01-tcp介绍.flv [36.25M]

02-（重点）tcp客户端.flv [35.57M]

04-tcp服务器 [169.07M]

01-（重点）tcp服务器-1.flv [56.71M]

02-（重点）tcp服务器-2-循环为多个客户端服务.flv [57.54M]

03-（重点）tcp服务器-3-循环为多个客户端服务.mp4 [54.81M]

05-tcp下载文件 [134.81M]

01-案例：下载文件.flv [90.84M]

02-知识点快速总结，listen里的参数.flv [7.41M]

03-qq不绑定端口、昨日知识点复习.flv [36.56M]

02 多任务 [1.13G]

01-线程 [327.80M]

01-多任务介绍、以及thread的基本使用.flv [49.69M]

02-thread创建线程 完成多任务.flv [23.10M]

03-查看正在运行的线程、主线程等待子线程先结束.flv [61.44M]

04-通过继承thread类完成创建线程.flv [14.42M]

05-通过继承thread类完成创建线程-补充.flv [3.74M]

06-多线程共享全局变量.flv [25.97M]

07-多线程共享全局变量-args参数.flv [16.52M]

08-创建线程是指定传递的参数、多线程共享全局变量的问题.flv [31.01M]

09-同步概念、互斥锁解决资源竞争的问题.flv [38.16M]

10-死锁、银行家算法.flv [30.38M]

11-案例：多线程版udp聊天器.flv [33.37M]

02-进程 [431.17M]

01-线程知识点复习.mp4 [40.00M]

02-进程、程序的概念.flv [19.03M]

03-使用process完成多进程.flv [48.19M]

04-使用process完成多进程-补充.flv [31.82M]

05-进程、线程的区别.flv [41.38M]

06-通过队列完成进程间通信.flv [51.56M]

07-进程池概述.mp4 [25.53M]

08-进程池的创建.flv [30.88M]

09-案例：多任务文件夹copy.flv [142.78M]

03-协程 [394.57M]

01-迭代器.flv [92.71M]

02-完善迭代器.flv [27.94M]

03-（重点）迭代器的应用.flv [39.03M]

04-迭代器使用的其他方式.flv [4.17M]

05-生成器-1.flv [39.95M]

06-生成器-2-send方式.flv [40.00M]

07-（重点）生成器-小总结.flv [4.99M]

08-使用yield完成多任务.flv [11.40M]

09-使用greenlet、gevent完成多任务.flv [50.38M]

10-案例：图片下载器.flv [74.93M]

11-（重点）进程、线程、协程对比.flv [9.08M]

03 web服务器v3.1 [1.43G]

01-正则表达式 [251.54M]

01-正则表达式简介.flv [12.88M]

02-匹配单个字符-1.flv [34.84M]

03-匹配单个字符-2.flv [20.46M]

04-匹配多个字符.flv [38.28M]

05-案例：简单判断变量名是否符合要求、匹配结尾开头.flv [20.77M]

06-案例：简单判断email、转义.flv [10.52M]

07-分组等.flv [45.20M]

08-re的高级用法：search、sub等.flv [68.58M]

02-http协议 [153.29M]

01-此阶段知识的介绍.flv [8.04M]

02-http协议的通俗讲解.flv [122.19M]

03-通过网络调试助手充当http服务器来验证http协议.flv [23.06M]

03-简单web服务器实现 [268.02M]

01-案例：返回固定页面的http服务器.flv [35.92M]

02-tcp3次握手、4次挥手.flv [57.19M]

03-tcp3次握手、4次挥手-强调.mp4 [33.98M]

04-案例：返回浏览器需要的页面http服务器-介绍.mp4 [37.37M]

05-案例：返回浏览器需要的页面http服务器-代码实现.flv [103.55M]

04-并发web服务器实现 [452.90M]

01-http协议复习.flv [55.99M]

02-多进程、线程实现http服务器.flv [46.69M]

03-多进程、线程实现http服务器-补充.flv [18.45M]

04-gevent实现http服务器.flv [13.00M]

05-（重要）单进程、线程、非堵塞实现并发的原理.flv [34.29M]

06-单进程、线程、非堵塞实现并发的验证-1.flv [41.61M]

07-单进程、线程、非堵塞实现并发的验证-2、debug的思想.flv [30.37M]

08-长连接、短连接.flv [36.79M]

09-单进程、线程、非堵塞、长连接的http服务器.flv [56.31M]

10-（重要）epoll的原理过程讲解.flv [24.22M]

11-epoll版的http服务器.flv [95.17M]

05-网络通信 [338.22M]

01-tcp ip协议.flv [60.00M]

02-wireshark抓包工具-安装.flv [7.95M]

03-wireshark抓包工具-使用.flv [65.02M]

04-2台电脑通信、网络掩码.flv [39.99M]

05-集线器、交换器组网、arp获取mac地址等.flv [63.42M]

06-路由器链接多个网络、默认网关.flv [46.69M]

07-浏览器访问服务器的过程.flv [36.83M]

08-ip不变、mac地址发生变化.flv [18.31M]

04 python高级语法v3.1 [728.35M]

01-gil锁 [88.31M]

01-gil-1.flv [46.79M]

02-gil-2.flv [41.52M]

02-深拷贝和浅拷贝 [91.48M]

01-深拷贝、浅拷贝-1.flv [32.81M]

02-深拷贝、浅拷贝-2.flv [10.25M]

03-深拷贝、浅拷贝-3.flv [24.51M]

04-深拷贝、浅拷贝-4.flv [23.91M]

03-私有化、import、封装继承多态 [145.59M]

01-私有化.flv [13.81M]

02-import导入模块.flv [31.99M]

03-多个模块import导入注意点.flv [45.09M]

04-再议封装、继承、多态.flv [54.71M]

04-方法解析顺序表mro [162.78M]

01-（重点）多继承中的mro顺序.flv [83.22M]

02-（重点）※args、※※kwargs的另外用处拆包.mp4 [49.37M]

03-单继承中mro、继承的面试题.mp4 [30.19M]

05-类对象和实例对象访问属性的区别和property属性 [144.32M]

01-类对象、实例对象、类方法、实例方法、类属性、实例属性、静态方法.flv [39.04M]

02-（重点）property属性.flv [45.73M]

03-property属性的应用.flv [1.88M]

04-创建property属性的方式-装饰器.flv [16.56M]

05-创建property属性的方式-类属性.flv [29.10M]

06-property属性的应用2.flv [12.01M]

06-私有属性和名字重整、魔法属性和方法、上下文管理器 [95.87M]

01-修改、查看私有属性、名字重整.flv [10.61M]

02-魔法属性、方法.flv [23.16M]

03-面向对象设计.flv [27.08M]

04-（重点）with、上下文管理器.flv [35.01M]

05 mysql数据库v3.1 [1.81G]

01-数据库的基本使用 [452.55M]

01-课程介绍.flv [2.34M]

02-数据库介绍.flv [67.96M]

03-rdbms、mysql介绍.flv [46.24M]

04-mysql服务器、客户端安装以及使用.flv [48.19M]

05-通过navicat操作数据库.flv [23.69M]

06-数据类型、约束.flv [44.17M]

07-（重点）-数据库的操作.flv [29.64M]

08-（重点）-数据表的操作.flv [49.49M]

09-（重重点）-数据的增删改查.flv [140.84M]

02-数据库查询 [472.94M]

01-课程介绍.flv [4.10M]

02-数据准备、基本的查询.flv [50.31M]

03-条件查询.flv [52.55M]

04-范围查询、null.flv [25.41M]

05-排序.flv [38.10M]

06-聚合、分组.flv [72.92M]

07-分页.flv [48.85M]

08-链接查询.flv [68.55M]

09-自关联.flv [50.13M]

10-子查询-简单.flv [10.38M]

11-数据库设计.flv [51.65M]

03-mysql与python交互 [494.03M]

01-数据的准备，基本查询.flv [129.03M]

02-数据操作演练：拆为多个表.flv [91.89M]

03-数据操作演练：拆为多个表2.flv [49.98M]

04-python安装pymysql.mp4 [29.82M]

05-python操作sql：查询数据.flv [38.30M]

06-案例：京东商城-查询.flv [47.48M]

07-python操作sql：添加、修改、删除数据.flv [34.89M]

08-案例：京东商城-添加，防止sql注入.flv [53.95M]

09-作业要求.mp4 [18.70M]

04-mysql高级 [432.32M]

01-视图.flv [81.87M]

02-事务-1.flv [52.59M]

03-事务-2.flv [26.44M]

04-索引-1.flv [35.68M]

05-索引-2.flv [47.28M]

06-（了解）账户管理.flv [77.37M]

07-mysql主从.flv [111.10M]

06 mini-web框架v3.1 [1.82G]

01-wsgi-mini-web框架 [428.45M]

01-课程介绍.flv [6.15M]

02-多进程-面向对象-web服务器.flv [50.76M]

03-静态资源、动态资源、web服务器支持动态解析.flv [62.90M]

04-静态、动态资源强调.flv [3.53M]

05-实现很简单的框架，让web服务器支持.flv [33.05M]

06-（重点）wsgi的介绍.flv [38.02M]

07-web服务器支持wsgi.flv [44.79M]

08-web服务器通过字典将需要的参数传递给mini_frame框架.flv [40.26M]

09-mini_frame获取页面模板数据.flv [77.91M]

10-给程序传递参数、添加web服务器的配置文件、添加shell功能.flv [71.08M]

02-闭包 [101.24M]

01-闭包-1.flv [27.69M]

02-闭包-2.flv [48.30M]

03-闭包-3-补充.flv [12.37M]

04-闭包-4-修改数据.flv [12.88M]

03-装饰器 [197.63M]

01-装饰器-1-介绍.flv [40.46M]

02-装饰器-2-手动实现装饰器.flv [11.08M]

03-装饰器-3-作用demo、对有参数函数、无参数函数的装饰.flv [21.58M]

04-装饰器-4-再理解.flv [41.69M]

05-装饰器-5-不定长参数的函数装饰.flv [14.16M]

06-装饰器-6-对应有返回值函数进行装饰、通用装饰器.flv [14.54M]

07-装饰器-7-多个装饰器对同一个函数装饰.flv [26.33M]

08-装饰器-8-多个装饰器对同一个函数装饰demo.flv [13.90M]

09-装饰器-9-（了解）用类对函数进行装饰.flv [13.89M]

04-mini-web框架添加路由和mysql功能 [348.60M]

01-带有参数的装饰器.flv [49.97M]

02-用装饰器完成路由功能-1.flv [38.18M]

03-用装饰器完成路由功能-2.flv [22.67M]

04-用装饰器完成路由功能-3.flv [33.33M]

05-用装饰器完成路由功能-4.flv [4.85M]

06-静态、动态、伪静态url.flv [38.79M]

07-让web服务器支持伪静态.flv [18.26M]

08-mini_frame框架添加mysql功能-1.flv [88.22M]

09-mini_frame框架添加mysql功能-2.flv [54.34M]

05-mini-web框架添加正则和log日志功能 [348.83M]

01-今日课程介绍.flv [2.59M]

02-股票列表.flv [19.03M]

03-关注股票.flv [103.79M]

04-取消关注.flv [54.09M]

05-更新备注信息.flv [77.99M]

06-url编解码.flv [25.29M]

07-log日志功能.flv [66.04M]

06-元类 [232.87M]

01-类也是对象、globals查看所有的全局对象引用.flv [56.45M]

02-元类创建类，类创建实例对象.mp4 [70.89M]

03-通过type来创建复杂的类，元类应用demo.flv [48.22M]

04-元类应用demo-补充.mp4 [57.31M]

07-orm [204.71M]

01-orm介绍.flv [11.37M]

02-orm-实现.flv [86.81M]

03-orm-实现2.flv [34.20M]

04-python高级知识快速复习-1.flv [42.67M]

05-python高级知识快速复习-2.flv [29.65M]

07 html和css [4.62G]

01-html文档结构和常用标签 [554.42M]

001前端概述.flv [49.54M]

002html文档结构.flv [71.35M]

003标题-段落-字符实体-换行.flv [106.83M]

004语义标签-图片.flv [181.69M]

005html复习1.flv [48.24M]

006链接.flv [38.69M]

007列表.flv [58.09M]

02-表格标签和传统布局 [340.78M]

01表格.flv [93.45M]

02传统布局实例.flv [182.55M]

03复习.flv [64.77M]

03-表单标签 [186.48M]

01表单01.flv [72.71M]

02表单02.flv [96.82M]

03表单03.flv [16.95M]

04-css基本语法 [102.27M]

01样式介绍.flv [30.17M]

02引入样式的方式.flv [72.10M]

05-css常用文本样式 [182.21M]

01常用文本样式01.flv [80.32M]

02css常用文本样式02.flv [101.89M]

06-css样式选择器 [194.19M]

01css选择器01.flv [75.80M]

02css选择器02.flv [118.39M]

07-盒子模型 [262.22M]

01盒子模型.flv [102.73M]

02盒子模型练习-盒子真实尺寸.mp4 [48.61M]

03复习-标题练习.flv [110.88M]

08-margin和overflow属性 [212.84M]

01margin使用技巧.flv [17.56M]

02margin使用技巧02.flv [43.21M]

03margin合并及实例.flv [57.70M]

04margin-top塌陷.flv [43.80M]

05元素溢出.flv [50.58M]

09-display属性 [257.65M]

01块元素-内联元素.flv [111.92M]

02内联块-实例.flv [80.63M]

03display属性.flv [65.09M]

10-浮动布局 [400.64M]

01用列表制作菜单.flv [74.71M]

02清除浮动.flv [74.85M]

03浮动01.flv [71.25M]

04浮动02.flv [44.46M]

05复习-练习.flv [135.36M]

11-定位布局 [232.54M]

01定位.flv [159.18M]

02定位实例.flv [73.37M]

12-background属性 [251.32M]

01background属性-实例.flv [125.23M]

02复习-雪碧图背景列表练习.flv [126.09M]

13-布局练习和图片格式 [434.11M]

01布局练习.flv [217.24M]

02图片格式.flv [216.86M]

14-ps常用操作 [368.09M]

01ps界面-移动选择-矩形框.flv [137.49M]

02图层自由变换-选区移动-选区自由变换.flv [58.76M]

03套索工具.flv [52.23M]

04选区的操作.flv [119.61M]

15-制作登陆页效果图 [433.93M]

01效果图制作01.flv [77.45M]

02效果图制作02.flv [135.22M]

03练习复习.flv [221.25M]

16-ps切图和制作雪碧图 [313.95M]

01切图.flv [177.38M]

02雪碧图制作.flv [78.14M]

03雪碧图制作02.flv [58.43M]

08 首页布局案例和移动布局 [2.52G]

01-首页布局 [833.84M]

01首页布局03.flv [275.34M]

02首页布局04.flv [237.12M]

03重置样式reset.css.flv [39.33M]

04首页头部制作.flv [132.93M]

05首页logo-搜索框-购物车.flv [149.11M]

02-css3动画 [594.47M]

01翻面动画02.flv [41.79M]

02animation动画.flv [92.79M]

03loading动画.flv [60.66M]

04圆角-透明度-rgba.flv [66.90M]

05transiton动画01.flv [19.52M]

06走路动画.flv [45.71M]

07transiton动画02.flv [40.82M]

08transform.flv [83.49M]

09复习-tansform变形-翻面动画01.flv [142.78M]

03-css3选择器和css权重 [39.56M]

01css权重.flv [39.56M]

04-屏幕适配 [238.88M]

01视口-retina屏幕适配.flv [104.76M]

02背景图尺寸设置.flv [42.25M]

03流体布局.flv [48.31M]

04响应式布局.flv [43.55M]

05-移动端布局实例 [793.70M]

01复习-rem布局原理.flv [150.76M]

02cssrem安装-流体布局制作首页.flv [123.16M]

03rem首页布局02.flv [169.08M]

04rem首页布局03.flv [255.47M]

05rem首页布局.flv [61.40M]

06rem首页布局01.mp4 [33.82M]

06-css3前缀和h5新增标签 [81.21M]

01css3前缀.flv [27.46M]

02h5新增标签-表单控件-属性.flv [53.74M]

09 javascriptv [2.00G]

01-javascript变量和操作元素 [271.21M]

01操作元素属性.flv [50.74M]

02中括号操作属性.flv [27.05M]

03改变元素内容.flv [18.36M]

04js介绍-js引入页面.flv [27.42M]

05js变量类型-获取元素.flv [84.22M]

06复习.flv [63.42M]

02-javascript函数 [221.72M]

01函数定义和调用.flv [36.40M]

02提取行间事件.flv [27.66M]

03复习-匿名函数.flv [32.69M]

04网页换肤.flv [40.74M]

05函数和变量预解析.flv [30.08M]

06函数传参-return关键字.flv [54.14M]

03-分支语句 [269.18M]

01加法运算练习.flv [14.49M]

02求余-赋值运算符.flv [34.32M]

03条件运算符.flv [36.25M]

04switch语句.flv [27.61M]

05条件语句-切换例子.flv [50.98M]

06多重条件判读语句.flv [55.93M]

07作业.flv [17.93M]

08复习.flv [31.68M]

04-数组和循环语句 [212.66M]

01数组及操作方法.flv [88.12M]

02多维数组.flv [10.11M]

03for循环-实例.flv [57.98M]

04复习-数组去重.flv [56.44M]

05-javascript组成和字符串 [174.19M]

01标签获取元素-实例.flv [63.92M]

02javascript组成.mp4 [20.90M]

03字符串操作方法-实例.flv [89.38M]

06-定时器和变量作用域 [551.18M]

01往复运动动画.flv [26.54M]

02无缝滚动01.flv [82.72M]

03无缝滚动02.flv [52.08M]

04变量作用域.flv [59.01M]

05时钟.flv [106.18M]

06倒计时.flv [107.11M]

07定时器-动画实例.flv [72.23M]

08作业.flv [6.08M]

09复习.flv [39.23M]

07-封闭函数和常用内置对象 [347.17M]

01封闭函数.flv [61.11M]

02常用内置对象01.flv [74.28M]

03math对象.flv [57.74M]

04调试js的方法.flv [51.68M]

05作业.flv [10.16M]

06复习-倒计时弹框练习.flv [92.20M]

10 jquery和js库 [4.54G]

01-jquery介绍、加载和jquery选择器 [230.84M]

01jqury介绍-jquery加载.flv [92.65M]

02jquery选择器01.flv [58.88M]

03jquery选择器02.flv [79.32M]

02-样式操作和click事件 [235.35M]

01样式的操作.flv [57.95M]

02绑定click事件.flv [84.40M]

03索引值-选项卡.flv [93.00M]

03-jquery特效和链式调用 [98.64M]

01jquery特性效果.flv [43.48M]

02特性效果-链式调用-层级菜单.flv [46.35M]

03修正反复点击持续动画的bug.flv [8.81M]

04-jquery animate动画 [138.43M]

01滑动选项卡.flv [49.54M]

02animate动画.flv [50.44M]

03作业.flv [4.09M]

04复习.flv [34.37M]

05-元素的尺寸、位置和页面滚动事件 [336.87M]

01元素尺寸-元素位置-加入购物车.flv [131.53M]

02scrollleft-top-悬浮菜单.flv [113.08M]

03悬浮菜单-滚动到顶部.flv [92.26M]

06-元素属性操作和jquery循环 [167.81M]

01属性操作.flv [49.49M]

02手风琴01.flv [53.13M]

03手风琴02.flv [26.00M]

04jquery循环.mp4 [39.18M]

07-jquery事件 [367.28M]

01bind绑定事件和解绑.flv [23.06M]

02事件冒泡-阻止事件冒泡.flv [49.24M]

03阻止事件冒泡-弹框实例.flv [76.80M]

04事件委托.flv [56.49M]

05jquery事件.flv [122.72M]

06复习.flv [38.97M]

08-节点操作 [266.72M]

01节点操作.flv [104.77M]

02todolist01.flv [66.95M]

03todolist02.flv [95.00M]

09-整屏滚动 [292.74M]

01整屏滚动01.flv [156.29M]

02复习.flv [46.99M]

02整屏滚动02.flv [89.46M]

10-幻灯片 [341.33M]

01幻灯片01.flv [108.09M]

02幻灯片02.flv [55.60M]

03幻灯片03.flv [75.48M]

04幻灯片04.flv [102.16M]

11-ajax和jsonp [256.92M]

01json.flv [13.42M]

02配置服务器环境.flv [36.13M]

03ajax01.flv [57.33M]

04ajax02.flv [33.02M]

05jsonp-360联想词获取.flv [117.02M]

12-jquery ui和本地存储 [234.20M]

01本地存储.flv [84.72M]

02只弹一次的弹框.flv [55.25M]

03jqueryui-拖拽.flv [94.22M]

13-移动端js事件和swiper库 [211.09M]

01移动端js事件和库.flv [93.40M]

02swiper参数设置-自定义.flv [117.69M]

14-bootstrap容器、栅格、按钮、表单 [569.46M]

01表单-字体图标.flv [125.37M]

02bootstrap介绍-容器.flv [93.10M]

03栅格系统.flv [59.05M]

04栅格响应式原理.flv [42.61M]

05栅格偏移-栅格隐藏.flv [58.21M]

06按钮的创建.flv [136.78M]

07复习.flv [54.34M]

15-bootstrap菜单、对话框、布局实例 [686.21M]

01菜单01.flv [72.18M]

02菜单切换效果.flv [33.38M]

03模态框.flv [48.46M]

04js控制弹框弹出和隐藏.flv [47.09M]

05布局实例01.flv [162.41M]

06布局实例02.flv [322.69M]

16-正则表达式和前端性能优化 [218.86M]

01正则表达式-表单验证.flv [120.27M]

02表单验证02.flv [21.12M]

03前端性能优化.flv [77.47M]

11 django框架 [3.00G]

01-django框架简介与环境搭建 [210.70M]

01_mvc框架简介1.flv [15.93M]

02_mvc框架简介.flv [26.42M]

03_django简介.flv [42.08M]

04_虚拟环境的创建和使用.flv [67.43M]

05_django项目和应用创建.flv [58.84M]

02-django的基本使用 [424.11M]

01_orm简介.flv [17.19M]

02_模型_模型类设计和表生成.flv [50.93M]

03_模型_通过模型类操作数据表.flv [28.04M]

04_模型_模型类关系和关系查询.flv [65.66M]

05_django后台管理.flv [57.06M]

06_视图_使用.flv [70.74M]

07_模板_使用.flv [64.60M]

08_mvt综合案例.flv [69.87M]

03-model属性及后端配置 [481.40M]

01_模型_django配置使用mysql数据库.flv [35.99M]

02_复习案例_1.flv [74.22M]

03_复习案例_重定向.flv [30.02M]

04_答疑_页面url地址的设置.flv [8.00M]

05_模型_字段属性和选项.flv [98.90M]

06_查询_相关函数1.flv [129.16M]

07_查询_相关函数2.flv [71.49M]

08_查询集.flv [33.62M]

04-模型关系及相关操作 [233.83M]

01_模型_模型类关系.flv [33.41M]

02_模型_关联查询.flv [43.94M]

03_模型_插入和删除.flv [3.00M]

04_模型_自关联.flv [47.83M]

05_模型_模型管理器对象.flv [73.75M]

06_模型_模型管理器类和模型类关系.flv [13.52M]

07_模型_元选项.flv [18.38M]

05-登录案例 [293.46M]

01_视图_url匹配的过程.flv [28.95M]

02_视图_错误视图.flv [29.78M]

03_视图_捕获url参数.flv [14.31M]

04_视图_登录案例1.flv [31.47M]

05_视图_登录案例2_request对象属性.flv [53.84M]

06_视图_ajax请求.flv [61.61M]

07_视图_ajax同步和异步.flv [11.75M]

08_视图_ajax登录案例.flv [61.75M]

06-cookie与session [243.67M]

01_状态保持_cookie.flv [69.07M]

02_状态保持_cookie记住用户名.flv [30.27M]

03_状态保持_session.flv [92.56M]

04_状态保存_session记住登录状态.mp4 [48.39M]

05_状态保持_cookie和session应用场景.flv [3.37M]

07-模板templates [290.51M]

01_模板_模板文件使用.flv [36.10M]

02_模板_模板文件加载顺序.flv [22.43M]

03_模板语言_模板变量.flv [35.58M]

04_模板语言_模板标签和过滤器.flv [76.42M]

05_模板语言_自定义过滤器.flv [28.75M]

06_模板语言_模板注释.flv [6.45M]

07_模板语言_小结.flv [8.66M]

08_模板_模板继承.flv [42.36M]

09_模板_html转义.flv [33.77M]

08-基于模板登录案例 [276.94M]

01_模板_登录装饰器.flv [84.15M]

02_模板_csrf伪造.flv [68.12M]

03_模板_django_csrf防护.flv [9.69M]

04_模板_验证码.flv [55.95M]

05_模板_url反向解析.flv [59.03M]

09-django功能-静态文件、中间件、后台 [283.46M]

01_静态文件.flv [48.81M]

02_中间件_概念.flv [56.70M]

03_中间件_执行流程.flv [81.94M]

04_中间件_小结.flv [6.35M]

05_后台管理_列表页选项.flv [58.40M]

06_后台管理_编辑页选项.flv [22.40M]

07_后台管理_自定义页面.flv [8.86M]

10-图片上传及分页 [337.94M]

01_上传图片_后台管理页面上传.flv [50.25M]

02_上传图片_自定义页面上传.flv [79.88M]

03_分页.flv [77.03M]

04_分页_小结.flv [16.17M]

05_省市县案例_获取省.flv [64.53M]

06省市县案例_获取市和县.flv [50.08M]

12 git版本管理 [614.29M]

01-git基本操作 [219.80M]

01_git_简介.flv [29.42M]

02_git_版本创建.flv [21.64M]

03_git_版本回退.flv [41.22M]

04_git_工作区和暂存区.flv [37.78M]

05_git_管理修改.flv [13.47M]

06_git_撤销修改.flv [15.26M]

07_git_对比文件不同.flv [18.61M]

08_git_删除文件.flv [20.15M]

09_git_基本操作小结.flv [16.34M]

10_补充_删除文件.flv [5.91M]

02-git分支管理 [305.27M]

01_git分支_基本操作.flv [54.61M]

02_git分支_解决冲突.flv [39.85M]

03_git分支_分支管理策略.flv [64.83M]

04_git分支_bug分支.mp4 [137.73M]

05_git分支_小结.flv [8.25M]

03-github使用 [89.22M]

01_github_创建仓库.flv [22.40M]

02_github_添加ssh账户.flv [14.88M]

03_github_克隆项目.flv [8.77M]

04_github_推送代码.flv [16.29M]

05_github_跟踪远程.flv [10.65M]

06_github_拉取代码.flv [3.69M]

07_工作git使用流程.flv [12.55M]

13 redis数据库 [716.92M]

01-redis安装和配置 [118.40M]

01_redis_nosql和redis简介.flv [42.51M]

02_redis_redis安装.flv [24.01M]

03_redis_redis配置.flv [30.78M]

04_redis_启动服务端和客户端.flv [21.11M]

02-redis数据类型及其操作 [133.05M]

01_redis数据类型_简介.flv [4.59M]

02_redis数据类型_string和键命令.flv [35.45M]

03_redis数据类型_hash命令mp4.flv [24.50M]

04_redis数据类型_list命令.flv [27.32M]

05_redis数据类型_set和zset命令.flv [25.44M]

06_redis数据类型_小结.flv [15.74M]

03-redis与python交互 [281.92M]

01_redis_python和redis交互.mp4 [149.04M]

02_redis_redis存储session信息.mp4 [132.88M]

04-redis搭建主从服务 [49.86M]

01_redis_主从配置.flv [35.00M]

02_redis_主从概念.flv [14.86M]

05-redis集群 [133.70M]

01_redis_集群概念.flv [15.08M]

02_redis_集群配置.flv [105.89M]

03_redis_python和集群交互.flv [12.73M]

14 天天生鲜django项目 [4.96G]

01-天天生鲜需求分析 [151.39M]

01_天天生鲜_商业模式.flv [24.33M]

02_天天生鲜_web项目开发流程.flv [32.89M]

03_天天生鲜_需求分析.flv [61.91M]

04_天天生鲜_架构预览.flv [11.27M]

05_天天生鲜_架构设计.flv [21.00M]

02-天天生鲜数据库设计 [369.74M]

01_天天生鲜_数据库设计1.flv [124.13M]

02_天天生鲜_数据库设计2.flv [34.73M]

03天天生鲜_模型类设计.flv [58.02M]

04_天天生鲜_连接远程数据库.flv [32.70M]

05_天天生鲜_choices选项和富文本编辑器.flv [37.42M]

06_天天生鲜_项目框架搭建.flv [82.75M]

03-用户注册 [476.64M]

01_注册基本逻辑.flv [115.67M]

02_显示注册页面和注册处理使用同一个url地址.flv [10.10M]

03_类视图使用.flv [23.83M]

04_类视图原理.flv [16.24M]

05_生成激活用户token.flv [54.65M]

06_注册用户激活流程.flv [33.82M]

07_django内置函数发送激活邮件.flv [65.90M]

08_用户注册流程小结.flv [25.22M]

09_celery异步发送邮件.flv [105.38M]

10_celery使用流程小结.flv [25.83M]

04-用户登录 [255.92M]

01_登录基本逻辑.flv [43.83M]

02_配置redis作为django缓存和session存储后端.mp4 [144.16M]

03_记住用户名.mp4 [67.93M]

05-用户中心 [479.69M]

01_父模板页抽象.flv [95.66M]

02_用户中心页面显示.flv [35.10M]

03_登录装饰器和登录后页面跳转.flv [47.47M]

04_loginrequiredmixin类的使用.flv [20.64M]

05_loginrequiredmixin类的原理.flv [9.16M]

06_登录后欢迎信息.flv [26.07M]

07_退出用户登录.flv [17.43M]

08_登录判断_欢迎信息_退出登录小结.flv [35.40M]

09_用户中心_地址页.flv [55.90M]

10_模型管理器类方法封装.flv [30.32M]

11_用户中心_个人信息页.flv [12.39M]

12_历史记录存储格式设计.flv [35.18M]

13_获取用户历史浏览记录.flv [58.96M]

06-分布式fastdfs文件系统 [295.47M]

01_fastdfs文件系统简介.flv [33.57M]

02_fastdfs上传文件和下载文件流程.flv [9.05M]

03_fastdfs的安装和配置.flv [33.69M]

04_nginx配合fastdfs使用的安装和配置.flv [40.96M]

05_python和fastdfs交互.flv [9.11M]

06_虚拟机中fastdfs配置文件的修改.flv [16.23M]

07_项目中上传和使用图片的流程.flv [20.15M]

08_自定义文件存储类.flv [60.87M]

09_amdin页面测试文件存储类.flv [44.68M]

10_改进自定义文件存储类.flv [21.13M]

11_fastdfs上传图片小结.flv [6.04M]

07-天天生鲜首页 [467.28M]

01_页面静态化_celery生成首页静态页面.flv [73.53M]

02_配置nginx提交静态页面.flv [29.95M]

03_admin管理更新首页数据表数据时重新生成index静态页面.flv [51.17M]

04_静态index页面和indexview的调度说明.flv [24.43M]

05_首页数据缓存设置和获取.flv [70.23M]

06_首页缓存数据的更新.flv [12.81M]

07_页面静态化和缓存数据_小结.flv [8.80M]

08_商品模型模型类概述.flv [38.85M]

09_首页内容获取和展示.flv [86.70M]

10_首页内容获取和展示小结.flv [12.89M]

11_redis存储购物车记录分析.flv [31.60M]

12_首页获取购物车商品数目.flv [26.32M]

08-天天生鲜详情页 [145.86M]

01_用户历史浏览记录的添加.flv [40.70M]

02_商品详情信息的获取和显示.flv [81.38M]

03_获取同一spu的其他规格的商品信息.flv [23.78M]

09-天天生鲜列表页 [144.09M]

01_列表页页码控制.flv [22.42M]

02_商品列表页内容的获取和显示.flv [121.67M]

10-天天生鲜商品搜索 [209.66M]

01_商品搜索_全文检索概念.flv [31.97M]

02_商品搜索_全文检索框架和引擎的安装和配置.flv [24.39M]

03_商品搜索_生成索引文件.flv [42.23M]

04_商品搜索_全文检索的使用.flv [52.56M]

05_商品搜索_更改分词方式.flv [37.79M]

06_商品搜索_小结.flv [20.73M]

11-天天生鲜购物车记录添加 [269.46M]

01_商品详情页js代码.flv [53.22M]

02_购物车记录添加后台view.flv [72.75M]

03_购物车记录添加前端js.flv [64.02M]

04_购物车记录添加_小结.flv [17.79M]

05_购物车页面显示.flv [61.68M]

12-天天生鲜购物车记录更新 [333.32M]

01_购物车js_全选_全不选_商品的选中和不选中.flv [102.51M]

02_购物车记录更新_后台view.flv [25.14M]

03_购物车记录更新_前端数目增加js.flv [64.65M]

04_购物车记录更新_前端数目减少_手动输入js.flv [35.58M]

05_购物车记录删除_后台view.flv [22.12M]

06_购物车记录删除_前端js.flv [26.49M]

07_购物车模块_小结.flv [56.83M]

13-天天生鲜订单生成 [364.59M]

01_订单生成_mysql事务概念.flv [44.78M]

02_订单生成_django中使用事务.flv [39.31M]

03_提交订单页面显示.flv [104.75M]

04_创建订单前端js.flv [56.84M]

05_创建订单后台view.flv [118.91M]

14-天天生鲜订单并发处理 [147.13M]

01_订单生成_订单并发问题.flv [14.98M]

02_订单并发_悲观锁.flv [38.13M]

03_订单并发_乐观锁.flv [81.84M]

04_订单并发_总结.flv [12.19M]

15-天天生鲜订单支付、评论 [486.92M]

01_订单支付_获取支付结果.flv [102.50M]

02_用户中心-订单页面.flv [91.99M]

03_订单支付_支付宝简介.flv [108.57M]

04_订单支付_网站对接支付宝流程图.flv [64.22M]

05_订单支付_订单支付代码.flv [119.63M]

16-天天生鲜部署 [288.09M]

01_订单评论代码走读.flv [73.74M]

02_部署_uwsgi作为web服务器.flv [39.18M]

03_部署_基本部署架构解析.flv [20.73M]

04_部署_nginx转交请求给uwsgi.flv [18.08M]

05_部署_nginx配置处理静态文件.flv [34.48M]

06_部署_nginx转交请求给其他地址.flv [53.14M]

07_部署_nginx配置upstream实现负载均衡.flv [41.28M]

08_部署_小结.flv [7.46M]

17-天天生鲜项目总结 [196.06M]

01_天天生鲜项目_总结.flv [196.06M]

15 flask框架 [2.11G]

01-flask安装配置 [131.48M]

01_回顾http通讯.flv [46.10M]

02_认识flask.flv [42.10M]

03_虚拟环境工具说明.flv [25.14M]

04_第一个flask程序.flv [18.13M]

02-app对象的初始化和配置 [77.02M]

01_flask应用对象初始化参数说明.flv [18.64M]

02_静态文件目录与路由说明.flv [10.04M]

03_flask的配置参数设置.flv [24.69M]

04_读取配置参数的方式.flv [13.45M]

05_app的run使用说明.flv [10.21M]

03-视图函数的路由 [179.20M]

01_视图函数的路由规则设置说明.flv [51.98M]

02_路由提取参数与自定义路由转换器.flv [54.13M]

03_路由转换器的进阶使用.flv [73.09M]

04-request对象 [162.36M]

01_request的form_data_args用法.flv [95.47M]

02_上传文件.flv [39.45M]

03_with使用.flv [27.44M]

05-abort函数、自定义错误、 视图函数的返回值 [89.98M]

01_abort函数的使用.flv [22.33M]

02_自定义错误处理方法.flv [16.23M]

03_设置响应信息的方法.flv [25.73M]

04_返回json数据的方法.flv [25.69M]

06-cookie和session [176.29M]

01_cookie的使用.mp4 [70.79M]

02_postman的安装.mp4 [20.64M]

03_session机制说明.flv [84.86M]

07-flask上下文和请求钩子 [135.95M]

01_请求钩子的补充说明.flv [17.14M]

02_flask的上下文对象.flv [51.78M]

03_请求钩子.flv [42.91M]

04_flask_script脚本扩展的使用.flv [24.12M]

08-模板 [295.27M]

01_模板与自定义过滤器.flv [75.55M]

02_引入表单扩展.flv [49.58M]

03_创建表单模型类与模板使用.flv [56.58M]

04_使用表单接受并检验参数.flv [30.64M]

05_关于表单的补充说明.flv [21.90M]

06_模板宏的使用.flv [18.23M]

07_宏定义在外部的使用.flv [10.00M]

08_模板的闪现使用.flv [32.80M]

09-数据库扩展包flask-sqlalchemy [268.62M]

01_使用sqlalchemy的配置.flv [49.05M]

02_创建模型类.flv [54.68M]

03_创建数据库表.flv [15.28M]

04_保存数据.flv [22.14M]

05_sqlalchemy数据库查询.flv [84.99M]

06_关联查询与自定义显示信息.flv [24.12M]

07_数据的修改与删除.flv [18.36M]

10-图书案例 [210.19M]

01_图书作者小案例.flv [176.44M]

02_图书作者小案例2.flv [33.75M]

11-数据库迁移扩展包flask-migrate、 邮件扩展包flask-mail [74.34M]

01数据库migrate扩展的使用简介.flv [19.26M]

02_migrate扩展的使用.flv [36.22M]

03_使用flask发送邮件.flv [18.86M]

12-不使用蓝图解决模块划分问题 [44.34M]

01_循环引用.flv [22.66M]

02_使用装饰器解决模块分割问题.flv [21.68M]

13-使用蓝图划分模块 [63.72M]

01_蓝图的基本定义与使用.flv [18.77M]

02_以目录形式定义蓝图.flv [29.23M]

03_蓝图里模板目录的处理.flv [15.72M]

14-单元测试 [172.02M]

01_单元测试引入.flv [15.89M]

02_assert断言的使用.flv [18.84M]

03_实现简单的单元测试.flv [64.20M]

04_单元测试的setup与flask的测试模式.flv [43.63M]

05_数据库测试.flv [29.45M]

15-flask部署 [83.92M]

01_flask部署.flv [71.10M]

02_sqlalchemy操作mysql提示警告的问题.flv [12.82M]

16 [586.10M]

01-开发配置和服务器接入 [188.82M]

01_认识.flv [27.66M]

02_了解开发.flv [44.21M]

03_开发的配置说明.flv [29.25M]

04_学校服务器使用说明.flv [26.92M]

05_接入服务器开发.flv [60.77M]

02-接收和发送消息 [238.20M]

01_开发者服务器收发消息的流程.flv [51.52M]

02_xmltodict工具的使用.flv [33.24M]

03_收发消息数据开发.flv [68.92M]

04_其他消息与事件消息.mp4 [39.60M]

05测试消息接口.mp4 [44.91M]

03-网页授权 [159.09M]

01_网页获取用户资料开发.flv [153.54M]

02_获取用户资料流程说明.flv [5.55M]

17 爱家租房项目 [4.10G]

01-项目说明 [153.15M]

01_项目资料说明.flv [9.54M]

02_前后端分离的认识.flv [39.55M]

03_前端后分离对于搜索引擎的缺点.flv [42.60M]

04_项目业务说明.flv [61.47M]

02-项目文件目录结构 [234.11M]

01_在单一文件中构建所有依赖工具.flv [59.96M]

02_创建工程目录1.flv [55.47M]

03_创建工程目录2.flv [56.44M]

04_循环导入的解决.flv [14.93M]

05_日志功能.flv [47.32M]

03-数据库设计 [160.12M]

01_项目数据库设计.flv [104.23M]

02_项目模型类说明.flv [40.14M]

03_日志级别bug处理.flv [9.99M]

04_数据库迁移处理.flv [5.76M]

04-静态文件接口 [151.25M]

01_提供静态文件的蓝图编写.flv [59.42M]

02_csrf防护机制.flv [65.94M]

03_在静态路由中添加生成csrf_token的cookie值.flv [25.88M]

05-图片验证码 [264.04M]

01_图片验证码的使用流程.flv [31.19M]

02_restful风格介绍.flv [51.12M]

03_图片验证码后端接口编写.flv [91.61M]

04_开发流程与接口文档编写.flv [25.18M]

05_图片验证码的前端编写.flv [64.94M]

06-短信验证 [379.62M]

01_云通讯使用介绍.flv [54.87M]

02_云通讯发送短信工具封装.flv [51.41M]

03_发送短信验证码后端编写.flv [99.15M]

04_测试发送短信验证码.flv [22.77M]

05_补充防止对同一个图片验证码进行校验的逻辑.flv [25.69M]

06_后端补充禁止60秒重复操作的逻辑.flv [53.80M]

07发送短信验证码前端编写.flv [71.93M]

07-注册 [349.03M]

01注册的后端编写.flv [84.25M]

02密码加密与property装饰器使用.flv [87.49M]

03_密码作为只允许设置的逻辑编写.flv [31.81M]

04_注册后端测试.flv [23.74M]

05_注册前端编写.flv [50.90M]

06_补充csrf的逻辑.flv [51.25M]

07作业说明.flv [19.59M]

08-登录 [203.71M]

01_登录后端逻辑编写.flv [98.15M]

02_登录测试与前端代码.flv [24.43M]

03_检查登录状态与退出代码.flv [33.76M]

04_登录验证装饰器.flv [47.37M]

09-个人信息 [248.29M]

01_图片存储服务的引入.flv [28.07M]

02_七牛上传图片的使用.flv [49.05M]

03_保存头像后端编写.flv [51.17M]

04_上传图片的前端代码.flv [32.13M]

05_图片表单的使用说明.mp4 [39.77M]

06_作业接口说明.mp4 [48.11M]

10-城区信息 [258.77M]

01_城区信息后端编写.flv [42.21M]

02_缓存机制的介绍.flv [18.05M]

03_为城区信息补充缓存.flv [39.02M]

04_缓存数据同步的问题.flv [13.79M]

05_用户模块修改用户名_获取个人资料_实名认证代码说明.flv [65.48M]

06_城区信息前端编写与前端模板的使用.flv [80.22M]

11-发布房源 [310.63M]

01_保存房屋基本信息数据后端编写.flv [144.02M]

02_保存房屋图片后端接口编写.flv [48.73M]

03_保存房屋基本信息前端代码.flv [73.27M]

04_保存房屋图片前端代码与测试.flv [25.33M]

05_map函数的使用.flv [19.28M]

12-celery [92.93M]

01_celery模型说明.flv [37.75M]

02_celery的基本使用.flv [55.18M]

13-房屋管理 [152.96M]

01_房屋管理后端接口后端说明.flv [89.81M]

02_房屋管理前端代码说明.flv [63.15M]

14-房屋列表 [384.84M]

01_房屋列表页业务分析.flv [16.31M]

02_房屋列表后端参数判断编写.flv [51.28M]

03_构造时间条件.flv [99.87M]

04_房屋列表页分页补充与测试.flv [59.16M]

06_房屋列表页缓存处理.flv [61.92M]

07redis的pipeline使用.flv [16.22M]

08_房屋列表页前端代码.flv [80.09M]

15-订单 [160.42M]

01_订单模块后端代码讲解.flv [130.13M]

02_订单模块前端代码讲解.flv [30.29M]

16-订单支付 [426.33M]

01_支付宝接入流程.flv [39.85M]

02_支付宝手机网站支付流程.flv [35.55M]

03_支付宝秘钥说明与sdk工具使用.flv [87.19M]

04_支付宝支付的后端接口编写.flv [96.35M]

05_支付宝支付测试.flv [36.00M]

06_获取支付宝支付结果修改订单数据.flv [131.40M]

17-项目优化 [271.89M]

01_csrf_token缺失bug的解决.flv [47.97M]

02_数据库优化介绍1.flv [143.92M]

03数据库优化介绍2.flv [48.79M]

04_工作账号介绍.flv [31.21M]

18 通用爬虫模块使用 [2.61G]

01-爬虫基本概念 [327.77M]

01爬虫课程的介绍和概念.flv [81.47M]

02爬虫的流程.flv [19.02M]

03markdown介绍.flv [7.07M]

04http和http的概念.flv [14.29M]

05搜索引擎的工作原理及robots协议.flv [67.67M]

06浏览器发送请求的流程.flv [51.19M]

07url格式和http请求格式.flv [68.05M]

08字符换知识点的复习.flv [19.01M]

02-爬虫requests库 [467.45M]

01requests模块发送带headers的请求和带参数的请求.flv [111.81M]

02贴吧爬虫.flv [88.33M]

03requests模块发送post请求.flv [85.75M]

04requests模块使用代理.flv [49.19M]

05requests模拟登陆的三种方式.flv [77.15M]

06requests模块发送请求和获取网页的字符串.flv [49.35M]

07requests保存图片.flv [5.86M]

03-chrome分析post与json [205.44M]

01寻找post的地址.flv [101.71M]

02寻找js和分析js.flv [33.76M]

03requests的小技巧.flv [69.97M]

04-爬虫数据-json数据处理 [309.92M]

01数据的分类.flv [25.14M]

02json模块的学习01.flv [114.38M]

03json模块的学习02.flv [19.92M]

04kr的练习.flv [44.08M]

05豆瓣爬虫练习.flv [106.40M]

05-爬虫数据-正则处理数据 [156.86M]

01正则和原始字符串r.flv [78.03M]

02内涵段子爬虫.flv [78.83M]

06-爬虫数据-xpath处理数据 [185.28M]

01xml的了解.flv [13.17M]

02xpath的学习01.flv [90.98M]

03xpath模块的学习02.flv [33.38M]

04lxml模块的学习.flv [47.74M]

07-通用爬虫案例 [385.04M]

01贴吧爬虫01.flv [74.56M]

02贴吧爬虫02.flv [88.91M]

03糗百爬虫01.flv [20.23M]

04糗百爬虫02.flv [59.59M]

05爬虫思路总结.flv [61.91M]

06csv和作业.flv [19.86M]

07多线程爬虫的实现.flv [59.98M]

08-爬取动态html数据 [135.85M]

01分析.flv [48.83M]

02后续代码的建议和动态hemlt的介绍.flv [17.50M]

03selenium的入门使用.flv [69.53M]

09-豆瓣登录案例 [368.82M]

01豆瓣登录.mp4 [72.38M]

02打码平台的使用.flv [53.53M]

03验证码识别总结.mp4 [138.33M]

04元素定位的方法和iframe的切换和selenium使用的注意点.flv [104.58M]

10-斗鱼爬虫 [133.59M]

01tesseract的使用.flv [19.57M]

02driver的安装.flv [11.93M]

03斗鱼爬虫.flv [102.09M]

19 mongodb数据库

01-mongodb安装配置及基本操作

02-mongodb高级操作及案例

20 爬虫scrapy框架及案例 [2.22G]

01-scrapy框架介绍 [172.39M]

01scrapy的介绍.mp4 [56.92M]

02scrapy的流程.flv [28.35M]

03sacrapy的入门使用.flv [87.13M]

02-scrapy-pipline、item、shell [393.25M]

01pipeline的介绍.flv [15.70M]

02logging模块的使用.flv [50.00M]

03构造请求和腾讯爬虫.flv [65.83M]

04item的介绍和使用.flv [50.78M]

05阳光政务平台爬虫.flv [70.58M]

06debug信息的认识.flv [32.59M]

07scrapy shell的使用.flv [25.05M]

08scrapy ettings和管道的深入.flv [82.71M]

03-苏宁图书案例 [193.93M]

01苏宁图书爬虫01.flv [103.09M]

02苏宁图书爬虫02.flv [90.84M]

04-scrapy-crawlspider [111.45M]

01crawlspider爬虫案例.flv [87.57M]

02crawlspdier爬虫介绍.flv [23.88M]

05-scrapy-downloadmiddleware [252.07M]

01携带cookie登录.flv [51.21M]

02下载中间件的学习.flv [61.46M]

03发送post请求登录.flv [84.44M]

04介绍和总结.flv [54.96M]

06-百度贴吧-crawlspider版本 [139.25M]

01贴吧爬虫和crawlspider爬虫.flv [139.25M]

07-scrapy-分布式 [385.78M]

01scrapyredis的介绍.flv [18.83M]

02 redis复习.flv [44.35M]

03domz程序介绍.flv [69.27M]

04scrapy_redis的源码介绍.flv [119.92M]

05 jd爬虫.flv [133.41M]

08-分布式爬虫案例 [621.62M]

01当当爬虫01.flv [208.48M]

02当当爬虫02.flv [22.31M]

03当当爬虫运行演示.flv [22.13M]

04亚马逊爬虫.flv [8.84M]

05亚马逊爬虫02.flv [71.90M]

06亚马逊爬虫03.flv [153.65M]

07pycharm发布代码.flv [82.24M]

08crontab的使用.flv [52.06M]

21 数据分析 [1.79G]

01-数据分析介绍和环境安装 [48.01M]

01数据分析的介绍(1).flv [22.30M]

02jupyter和conda的使用.flv [25.71M]

02-matplotlib折线图 [285.52M]

01matplotlib的基础绘图01.flv [27.87M]

02matplotlib的基础绘图和调整x轴的刻度.flv [31.28M]

03matplotlib的绘制10点到12点的气温.mp4 [20.42M]

04matplotlib设置显示中文.flv [47.51M]

05matplotlib的设置图形信息.mp4 [39.68M]

06matplotlib绘制多次图形和不同图形的差异介绍和总结.flv [118.76M]

03-matplotlib常用统计图 [233.34M]

01绘制散点图.flv [29.66M]

02绘制条形图.flv [42.08M]

03绘制多次条形图.flv [20.03M]

04绘制直方图.flv [76.93M]

05更多的绘图工具的了解.flv [64.65M]

04-numpy数组 [111.02M]

01数组的计算和数组的计算.flv [80.12M]

02numpy的数组的创建.flv [30.90M]

05-numpy读取本地数据和索引 [99.14M]

01numpy读取本地数据.flv [47.81M]

02numpy中的索引和切片.flv [31.96M]

03numpy中更多的索引方式.flv [19.37M]

06-numpy中的nan和常用方法 [162.44M]

01数据的拼接.flv [10.92M]

02numpy中的随机方法.flv [40.52M]

03numpy中的nan和常用统计方法.flv [43.09M]

04numpy中填充nan和youtube数据的练习.flv [67.91M]

07-series和读取外部数据 [76.66M]

01pandas的series的了解.flv [52.98M]

02pandas读取外部数据.flv [23.68M]

08-dataframe [142.36M]

01pandas的dataframe的创建.flv [30.98M]

02dataframe的描述信息.flv [36.37M]

03dataframe的索引.flv [26.16M]

04bool索引和缺失数据的处理.flv [48.85M]

09-统计方法和字符串离散化 [99.65M]

01电影数直方图.flv [62.27M]

02padas的常用统计方法.flv [37.38M]

10-数据的合并和分组聚合 [296.81M]

01字符串离散化的案例.flv [40.65M]

02数据合并.flv [45.91M]

03数据分组聚合.flv [46.98M]

04数据分组聚合02.flv [31.05M]

05数据的索引学习.flv [31.33M]

06数据分组聚合练习和总结.flv [100.88M]

11-时间序列 [156.89M]

01pandas时间序列01.flv [87.19M]

02pandas时间序列02.flv [69.70M]

12-pandas案例 [125.62M]

01案例.flv [7.44M]

02pm2.5案例.flv [58.83M]

03pm2.5案例02.flv [8.91M]

04豆瓣电视的案例.flv [50.43M]

22 机器学习 [2.06G]

01-机器学习介绍 [70.91M]

01_机器学习简介.flv [46.84M]

02_机器学习概述.flv [24.07M]

02-特征工程和文本特征提取 [183.45M]

03_数据集的组成.flv [26.80M]

04_特征工程的定义.flv [31.37M]

05_字典特征数据抽取.flv [43.35M]

06_文本特征抽取以及中文问题.flv [51.25M]

07_tf-df分析问题.flv [30.68M]

03-数据特征预处理 [169.90M]

08_特征预处理-归一化.mp4 [75.41M]

09_归一化以及标准化对比.flv [75.40M]

10_标准化总结以及缺失值处理.flv [2.02M]

11_标准化总结以及缺失值处理.flv [17.07M]

04-数据降维 [197.06M]

12_数据的降维之特征选择.flv [73.68M]

13_降维案例1.flv [44.71M]

14_降维案例2.flv [20.57M]

15_机器学习算法分类以及开发流程.flv [58.11M]

05-机器学习概述 [108.08M]

01_第一天复习.flv [10.35M]

02_数据的划分和介绍.flv [66.16M]

03_转换器与估计器.flv [31.58M]

06-k-近邻算法 [201.79M]

04_k-近邻算法以及案例预测入住位置.flv [124.78M]

05_k-近邻算法案例.flv [53.40M]

06_k-近邻算法总结.flv [23.61M]

07-朴素贝叶斯算法 [239.13M]

07_朴素贝叶斯算法原理.flv [78.63M]

08_朴素贝叶斯算法对新闻进行分类案例.flv [35.04M]

09_朴素贝叶斯算法总结.flv [11.03M]

10_精确率和召回率.flv [49.50M]

11_交叉验证与网格搜索对k-近邻算法调优.flv [64.93M]

08-决策树和随机森林 [297.83M]

12_决策树之信息论基础.flv [45.19M]

13_决策树的划分以及案例.flv [131.00M]

14_决策树的保存结果分析.flv [18.08M]

15_随机森林的原理以及案例调优.flv [60.57M]

16_每日总结.flv [42.98M]

09-线性回归 [334.02M]

01_第二天知识回顾.flv [6.18M]

02_线性回归的定义以及矩阵的运算.flv [86.18M]

03_线性回归策略，优化，案例.flv [124.73M]

04_线性回归两种求解方式总结.flv [37.22M]

05_过拟合以及欠拟合.flv [63.23M]

06_ridge岭回归分析.flv [16.48M]

10-逻辑回归 [211.71M]

07_模型的保存与加载.flv [21.10M]

08_逻辑回归定义，损失函数，优化与线性回归比较.flv [66.85M]

09_逻辑回归预测癌症案例.flv [73.38M]

10_逻辑回归总结.flv [27.57M]

11_京东金融数据集介绍.flv [22.81M]

11-k-means [98.24M]

12_k-means原理以及案例.flv [98.24M]

23 深度学习 [2.69G]

01-tensorflow介绍 [67.14M]

01_tensorflow基本介绍.flv [67.14M]

02-图和会话 [292.96M]

01tensorflow图的结构.mp4 [107.76M]

02_图.flv [35.19M]

03_会话.flv [40.81M]

04_会话的run方法.mp4 [109.20M]

03-张量和基本运算 [120.14M]

01张量的定义以及数据.flv [74.06M]

02运算api介绍.flv [46.08M]

04-变量和模型保存加载 [331.69M]

01可视化学习.flv [61.90M]

02_线性回归的原理复习以及实现.flv [104.82M]

03_trainable,学习率的调整，梯度爆炸.flv [56.98M]

04_增加损失值等变量显示.flv [35.81M]

05_模型的保存与加载.flv [44.72M]

06自定义命令行参数.flv [27.47M]

05-数据读取 [252.97M]

01_tensorflow解决读取数据、实现同步模拟.flv [60.79M]

02_队列管理器和协程协调器实现异步读取训练.flv [68.40M]

03_文件读取流程.flv [21.56M]

04_csv文件读取案例.flv [102.22M]

06-文件读取分析存储 [396.49M]

01图像基本知识分析.flv [51.12M]

02图片文件读取.flv [65.46M]

03二进制文件读取分析.flv [29.57M]

04二进制文件读取.flv [90.94M]

05tfrecords文件的读取与存储.flv [159.40M]

07-简单神经网络 [350.48M]

01_感知机模型.flv [67.72M]

02_神经网络结构.flv [100.85M]

03_简单的神经网络实现手写数字图片识别.flv [137.09M]

04_简单的单层神经网络预测手写数字图片.flv [44.81M]

08-卷积神经网络 [314.09M]

01_卷积神经网络介绍以及卷积层结构.flv [101.71M]

02_激活层与池化层.flv [53.76M]

03面试题分析.flv [10.92M]

04卷积神经网络识别手写数字.flv [147.70M]

09-验证码识别 [353.32M]

01_第六天复习.flv [13.49M]

02_验证码识别原理分析.flv [61.92M]

03_验证码识别程序流程以及图片数据的处理.flv [131.26M]

04_验证码识别的实现.flv [146.64M]

10-分布式系统和线性回归 [273.86M]

01_分布式的原理，架构，更新参数模式.flv [81.49M]

02自实现一个线性回归.flv [192.37M]

24 数据结构和算法 [2.59G]

01-数据结构和算法基础 [328.05M]

01-代码执行时间测量模块timeit.flv [13.41M]

02时间复杂度与大o表示法.flv [86.28M]

03-数据结构引入.flv [32.25M]

04-算法引入.flv [65.84M]

05-python列表类型不同操作的时间效率.flv [46.99M]

06-最坏时间复杂度与计算规则.flv [45.98M]

07-python列表与字典操作的时间复杂度.flv [23.13M]

08-常见时间复杂度与大小关系.flv [14.18M]

02-顺序表 [188.48M]

01-内存、类型本质、连续存储.flv [39.62M]

02-顺序表添加与删除元素_python列表的实现.flv [46.85M]

03-基本顺序表与元素外围顺序表.flv [43.99M]

04-顺序表的一体式结构与分离式结构.flv [43.58M]

05-顺序表数据区替换与扩充.flv [14.44M]

03-链表 [785.67M]

01-单向循环链表遍历和求长度.flv [57.94M]

02链表的提出.flv [25.45M]

03双向链表及添加元素.flv [79.79M]

04-单链表的adt模型.flv [16.33M]

05单向循环链表添加元素.flv [65.55M]

06-双向链表删除元素.flv [32.84M]

07-python中变量标识的本质.flv [27.70M]

08-单向循环链表删除元素.flv [87.85M]

09-单链表及结点的定义代码.flv [43.03M]

10-单向循环链表删除元素复习及链表扩展.flv [51.65M]

11-单链表的判空、长度、遍历与尾部添加结点的代码实现.flv [101.67M]

12-单链表尾部添加和在指定位置添加.flv [92.06M]

13-单链表查找和删除元素.flv [75.26M]

14单链表与顺序表的对比.flv [28.57M]

04-栈与队列 [208.23M]

01-栈的实现.flv [38.89M]

02队列与双端队列的实现.mp4 [95.76M]

03-栈与队列的概念.mp4 [73.58M]

05-排序与搜索 [924.30M]

01-插入算法.flv [14.99M]

02-二分查找.flv [59.65M]

03-归并排序.flv [98.23M]

04-快速排序.flv [39.02M]

05-冒泡排序及实现.flv [74.99M]

06-排序算法的稳定性.flv [9.00M]

07-希尔排序.flv [67.65M]

08-选择排序算法及实现.flv [69.32M]

09-插入排序1.flv [16.89M]

10-二分查找时间复杂度.flv [9.44M]

11-归并排序_代码执行流程.flv [62.43M]

12-快速排序实现1.flv [22.82M]

13-希尔排序实现.flv [62.42M]

14-插入排序2.flv [65.97M]

15-归并排序时间复杂度及排序算法复杂度对比.flv [35.97M]

16快速排序实现2.flv [215.49M]

06-树与树算法 [220.52M]

01-二叉树的广度优先遍历.flv [25.92M]

02-树的概念.flv [64.52M]

03-二叉树的概念.flv [19.13M]

04-二叉树的实现.flv [16.89M]

05-二叉树的先序、中序、后序遍历.flv [67.28M]

06-二叉树由遍历确定一棵树.flv [26.78M]

25-36章为老师发的线上课程 [19.81G]

25 python网络爬虫 [13.16G]

01-爬虫前奏 [498.65M]

1-网络爬虫概述.flv [176.32M]

2-http协议和chrome抓包工具（1）.flv [128.73M]

3-http协议和chrome抓包工具（2）.flv [193.60M]

02-网络请求 [1.17G]

10-【实战】爬虫自动登录访问授权页面.mp4 [91.74M]

11-cookie信息的加载与保存.flv [84.61M]

12-requests库的基本使用.flv [134.34M]

13-requests发送post请求.flv [58.57M]

14-requests使用代理ip.flv [85.92M]

15-requests处理cookie信息.flv [62.30M]

16-requests处理不信任的ssl证书.flv [14.33M]

1-urllib库之urlopen函数用法.flv [70.35M]

2-urllib库之urlretrieve函数用法.flv [35.54M]

3-urllib库之参数编码和解码函数.flv [78.14M]

4-urllib库之urlparse和urlsplit函数用法.mp4 [31.38M]

5-【实战】用request爬取拉勾网职位信息.flv [153.75M]

6-【作业】内涵段子爬虫作业.flv [17.99M]

7-proxyhandler实现代理ip.flv [139.83M]

8-cookie原理和格式详解.flv [83.19M]

9-【实战】爬虫使用cookie模拟登录.mp4 [54.08M]

03-数据解析 [3.78G]

10-【作业】腾讯招聘网爬虫作业.flv [30.77M]

11-beautifulsoup4库的基本介绍.flv [59.02M]

12-beautifulsoup4库的基本使用.flv [62.05M]

13-beautifulsoup4库提取数据详解.flv [301.42M]

14-css常用选择器介绍.flv [132.64M]

15-select和css选择器提取元素.flv [102.03M]

16-beaufifulsoup拾遗.flv [204.18M]

17-【实战】中国天气网爬虫之页面分析.flv [79.22M]

18-【实战】中国天气网爬虫之华北城市数据爬取.flv [141.97M]

19-【实战】中国天气网爬虫之所有城市数据爬取.flv [161.01M]

1-xpath简介以及工具安装.flv [71.13M]

20-【实战】中国天气网爬虫之数据可视化.flv [168.90M]

21-正则表达式之单个字符匹配规则.flv [156.06M]

22-正则表达式之匹配多个多个字符.flv [49.73M]

23-正则表达式之多个小案例.flv [81.44M]

24-正则表达式之开始结束和或语法.flv [135.65M]

25-正则表达式之转义字符和原生字符串.flv [89.32M]

26-正则表达式之group分组.flv [51.02M]

27-正则表达式之re模块常用函数.flv [104.86M]

28-【实战】正则表达式之古诗文网爬虫实战.flv [244.10M]

29-【作业】正则表达式之糗事百科爬虫作业.flv [11.93M]

2-xpath语法详解.flv [190.08M]

3-lxml解析html代码和文件.flv [149.63M]

4-lxml和xpath结合使用详解.flv [276.43M]

5-【实战】豆瓣电影爬虫.flv [186.18M]

6-【实战】电影天堂爬虫之网页分析.flv [145.94M]

7-【实战】电影天堂爬虫之爬取详情页url.flv [71.41M]

8-【实战】电影天堂爬虫之解析详情页.flv [320.84M]

9-【实战】电影天堂爬虫之爬虫完成.flv [88.10M]

04-数据存储 [342.04M]

1-json字符串介绍.flv [42.20M]

2-dump成json字符串以及编码问题.flv [67.36M]

3-load成python对象.flv [22.04M]

4-读取csv文件的两种方式.flv [138.14M]

5-写入csv文件的两种方式.flv [72.30M]

05-爬虫进阶 [2.77G]

10-【作业】多线程下载百思不得姐段子爬虫作业.flv [34.70M]

11-ajax介绍和爬取ajax数据的两种方式.flv [169.26M]

12-selenium+chromedriver安装和入门.flv [88.94M]

13-selenium关闭页面和浏览器.flv [26.79M]

14-selenium定位元素的方法详解.flv [98.46M]

15-selenium操作表单元素.flv [137.40M]

16-selenium行为链.flv [42.93M]

17-selenium操作cookie.flv [47.44M]

18-selenium的隐式等待和显式等待.flv [86.01M]

19-selenium打开多窗口和切换窗口.flv [83.12M]

1-多线程概念和threading模块介绍.flv [79.18M]

20-selenium使用代理ip.flv [70.05M]

21-selenium中的webelement类补充.avi [29.90M]

22-【实战】selenium完美实现拉勾网爬虫之列表页解析.avi [101.78M]

23-【实战】selenium完美实现拉勾网爬虫之详情页解析.avi [119.30M]

24-【实战】selenium完美实现拉勾网爬虫之跑通流程.avi [178.14M]

25-【实战】selenium完美实现拉勾网爬虫之细节处理.flv [83.20M]

26-【作业】使用selenium实现boss直聘爬虫作业.flv [39.57M]

27-tesseract库介绍.flv [54.27M]

28-tesseract在终端下识别图片.flv [103.31M]

29-tesseract代码识别图片.flv [53.54M]

2-使用thread类创建多线程.flv [46.34M]

30-tesseract处理拉勾网验证码.flv [52.97M]

3-多线程共享全局变量以及锁机制.flv [84.25M]

4-lock版生产者和消费者模式.flv [207.85M]

5-condition版生产者与消费者模式.flv [158.08M]

6-queue线程安全队列讲解.flv [133.62M]

7-【实战】多线程下载表情包之同步爬虫完成.flv [200.23M]

8-【实战】多线程下载表情包之异步爬虫完成.flv [143.96M]

9-gil全局解释器锁详解.flv [85.45M]

06-scrapy框架 [4.62G]

10-request和response对象讲解.flv [58.79M]

11-【实战】scrapy模拟登录人人网.flv [102.59M]

12-【实战】scrapy模拟登录豆瓣网.flv [213.05M]

13-【实战】自动识别豆瓣网图形验证码.flv [84.19M]

14-【实战】汽车之家宝马5系高清图片下载爬虫（1）.flv [76.52M]

15-【实战】汽车之家宝马5系高清图片下载爬虫（2）.flv [31.47M]

16-【实战】汽车之家宝马5系高清图片下载爬虫（3）.flv [75.90M]

17-【实战】汽车之家宝马5系高清图片下载爬虫（4）.flv [211.64M]

18-【反爬虫】下载器中间件讲解.flv [82.79M]

19-【反爬虫】反爬虫-设置随机请求头.flv [116.88M]

1-scrapy框架架构详解.flv [46.54M]

20-【反爬虫】开放ip代理池和独享代理配置.flv [158.48M]

21-【scrapy框架】实战-攻克boss直聘反爬虫之正常爬取.flv [271.33M]

22-【scrapy框架】实战-攻克boss直聘反爬虫之无限制爬取.flv [138.00M]

23-scrapy框架实战-简书网整站爬虫之页面解析.flv [242.77M]

24-scrapy框架实战-简书网整站爬虫之保存数据到mysql.flv [197.96M]

25-scrapy框架实战-简书网整站爬虫之爬取ajax数据.flv [206.30M]

26-分布式爬虫-分布式爬虫介绍.flv [68.26M]

27-分布式爬虫-redis介绍.flv [46.92M]

28-分布式爬虫-linux下安装redis.flv [42.11M]

29-分布式爬虫-windows下redis安装与配置.flv [63.99M]

2-scrapy框架快速入门.flv [108.28M]

3-【实战】scrapy糗事百科之爬虫编写.avi [128.31M]

30-分布式爬虫-配置其他机器连接本机redis服务器.flv [63.25M]

31-分布式爬虫-redis的字符串操作.flv [24.65M]

32-分布式爬虫-redis的列表操作.flv [67.46M]

33-分布式爬虫-redis的集合操作.flv [40.55M]

34-分布式爬虫-redis的哈希操作.flv [35.39M]

35-分布式爬虫实战-房天下全国658城市所有房源信息抓取（1）.flv [84.24M]

36-分布式爬虫实战-房天下全国658城市所有房源信息抓取（2）.flv [90.16M]

37-分布式爬虫实战-房天下全国658城市所有房源信息抓取（3）.flv [217.85M]

38-分布式爬虫实战-房天下全国658城市所有房源信息抓取（4）.flv [317.11M]

39-分布式爬虫实战-房天下全国658城市所有房源信息抓取（5）.flv [254.83M]

4-【实战】scrapy糗事百科之pipeline保存数据.avi [58.63M]

40-分布式爬虫实战-房天下全国658城市所有房源信息抓取（6）.flv [103.63M]

41-分布式爬虫实战-房天下全国658城市所有房源信息爬取（7）.flv [166.50M]

5-【实战】scrapy糗事百科之优化数据存储的方式.avi [45.87M]

6-【实战】scrapy糗事百科之抓取多个页面.avi [32.90M]

7-crawlspider讲解.flv [47.33M]

8-【实战】crawlspider实现小程序社区爬虫.flv [248.98M]

9-scrapy shell的使用.flv [57.15M]

26 机器学习入门篇 [427.00M]

1-算法：线性回归算法 [68.13M]

1-线性回归算法概述.flv [17.57M]

2-误差项分析.flv [15.56M]

3-似然函数求解.flv [11.08M]

4-目标函数推导.flv [11.05M]

5-线性回归求解.flv [12.88M]

2-算法：逻辑回归算法 [32.87M]

1-逻辑回归算法原理推导.flv [13.79M]

2-逻辑回归求解.flv [19.08M]

3-案例：python实现逻辑回归与梯度下降 [79.75M]

1-案例实战：python实现逻辑回归任务概述.flv [13.16M]

2-案例实战：完成梯度下降模块.flv [22.32M]

3-案例实战：停止策略与梯度下降案例.flv [20.20M]

4-案例实战：实验对比效果.flv [24.07M]

4-案例实战-信用卡欺诈检测 [246.26M]

10-smote样本生成策略.flv [38.19M]

1-案例背景和目标.mp4 [29.80M]

2-样本不均衡解决方案.mp4 [37.13M]

3-下采样策略.mp4 [24.40M]

4-交叉验证.mp4 [35.78M]

5-模型评估方法.flv [17.71M]

6-正则化惩罚.flv [11.05M]

7-逻辑回归模型.flv [14.76M]

8-混淆矩阵.flv [19.93M]

9-逻辑回归阈值对结果的影响.flv [17.51M]

27 机器学习入门篇2 [1.02G]

10-案例：python实现线性判别分析 [40.75M]

1-实现线性判别分析进行降维任务.flv [20.82M]

2-求解得出降维结果.flv [19.93M]

11-算法：pca主成分分析 [39.30M]

1-pca降维概述.flv [9.64M]

2-pca要优化的目标.flv [16.06M]

3-pca求解.flv [13.60M]

12-案例：python实现pca主成分分析 [34.22M]

1-pca降维实例.flv [34.22M]

1-算法：决策树 [74.23M]

1-决策树原理概述.flv [15.31M]

2-衡量标准-熵.flv [15.98M]

3-决策树构造实例.flv [13.44M]

4-信息增益率.flv [7.36M]

5-决策树剪枝策略.flv [22.14M]

2-决策树sklearn实例 [120.20M]

1-案例：决策树复习.flv [12.14M]

2-案例：决策树涉及参数.flv [30.35M]

3-案例：树可视化与sklearn库简介.flv [54.71M]

4-案例：sklearn参数选择.flv [23.00M]

3-算法：随机森林与集成算法 [55.29M]

1-集成算法-随机森林.flv [15.79M]

2-特征重要性衡量.flv [15.47M]

3-提升模型.flv [15.00M]

4-堆叠模型.flv [9.03M]

4-集成算法实例 [224.83M]

1-集成算法实例概述.flv [27.87M]

2-roc与auc指标.flv [26.04M]

3-基础模型.flv [25.84M]

4-集成实例.flv [54.11M]

5-stacking模型.flv [44.90M]

6-效果改进.flv [46.07M]

5-算法：贝叶斯算法 [80.36M]

1-贝叶斯算法概述.flv [8.52M]

2-贝叶斯推导实例.flv [8.99M]

3-贝叶斯拼写纠错实例.flv [13.83M]

4-垃圾邮件过滤实例.flv [17.22M]

5-贝叶斯实现拼写检查器.flv [31.80M]

6-案例：python文本数据分析 [167.46M]

1-文本分析与关键词提取.flv [14.61M]

2-相似度计算.flv [14.80M]

3-新闻数据与任务简介.flv [29.15M]

4-tf-idf关键词提取.flv [40.08M]

5-lda建模.flv [24.26M]

6-基于贝叶斯算法进行新闻分类.flv [44.56M]

7-算法：kmeans聚类 [45.00M]

1-kmeans算法概述.flv [13.87M]

2-kmeans工作流程.flv [10.38M]

3-kmeans迭代可视化展示.flv [20.75M]

8-算法：dbscan聚类 [58.05M]

1-dbscan聚类算法.flv [15.01M]

2-dbscan工作流程.flv [21.84M]

3-dbscan可视化展示.flv [21.20M]

9-案例：聚类实践 [102.52M]

1-多种聚类算法概述.mp4 [9.91M]

2-聚类案例实战.mp4 [92.61M]

28 机器学习提升篇 [397.30M]

01-算法：em算法 [52.75M]

1-em算法要解决的问题.flv [13.32M]

2-隐变量问题.flv [7.68M]

3-em算法求解实例.flv [20.54M]

5-gmm模型.flv [11.21M]

02-案例：gmm聚类实践

03-算法：推荐系统

04-案例：推荐系统实践

05-算法：线性支持向量机

06-案例：svm实践

07-算法：时间序列airma模型

08-案例：时间序列预测任务

09-算法：xgboost提升算法

10-案例：xgboost调参实例 [141.91M]

1-xgboost安装.flv [15.67M]

2-保险赔偿任务概述.flv [30.72M]

3-xgboost参数定义.flv [17.28M]

4-基础模型定义.flv [14.55M]

5-树结构对结果的影响.flv [27.08M]

6-学习率与采样对结果的影响.flv [36.60M]

11-案例：探索性数据分析-农粮数据分析 [202.65M]

农业-1数据背景简介.flv [27.91M]

农业-2数据切片分析.flv [43.99M]

农业-3单变量分析.flv [40.29M]

农业-4峰度与偏度.flv [21.14M]

农业-5数据对数变换.flv [17.86M]

农业-6数据分析维度.flv [16.51M]

农业-7变量关系可视化展示.flv [34.95M]

12-机器学习套路与benchmark

29 数据挖掘篇 [1.26G]

1-泰坦尼克号获救预测 [226.04M]

10-登船地点特征分析.flv [23.91M]

1-数据挖掘任务流程.flv [19.00M]

2-数据介绍.flv [19.57M]

3-python兵器库介绍.flv [16.99M]

4-sklearn库介绍.flv [45.29M]

5-数据读取与统计分析.flv [21.21M]

6-性别特征分析.flv [18.48M]

7-船舱等级特征分析.flv [14.32M]

8-缺失值问题.flv [18.49M]

9-年龄特征缺失值填充与分析.flv [28.79M]

2-用户画像 [167.64M]

1-用户画像概述.flv [16.32M]

2-如何建立用户画像.flv [16.93M]

3-用户搜索数据介绍.flv [21.80M]

4-任务概述与方案.flv [23.32M]

5-构造词向量特征.flv [25.53M]

6-构造输入特征.flv [25.82M]

7-建立预测模型.flv [37.91M]

3-kaggle数据科学 [195.24M]

1-kaggle数据科学调查介绍.flv [23.66M]

2-基本情况可视化展示.flv [32.71M]

3-工资情况.flv [18.89M]

4-技能使用情况.flv [27.18M]

5-数据集与平台.flv [26.39M]

6-python和r哪家强.flv [31.44M]

7-调查总结.flv [34.97M]

4-xgboost实战 [185.57M]

1-xgboost算法概述.flv [12.81M]

2-xgboost模型构造.flv [14.72M]

3-xgboost建模衡量标准.flv [16.14M]

4-xgboost安装.flv [15.67M]

5-保险赔偿任务概述.flv [30.72M]

6-xgboost参数定义.flv [17.28M]

7-基础模型定义.flv [14.55M]

8-树结构对结果的影响.flv [27.08M]

9-学习率与采样对结果的影响.flv [36.60M]

5-京东购买预测 [389.99M]

1-项目与数据介绍.flv [41.52M]

2-数据挖掘流程.flv [30.60M]

3-数据检查.flv [24.82M]

4-构建用户特征表单.flv [47.58M]

5-构建商品特征表单.flv [37.72M]

6-数据探索概述.avi [31.17M]

7-购买因素分析.avi [50.11M]

8-特征工程.avi [49.48M]

9-基本特征构造.avi [76.99M]

6-房价预测 [123.12M]

1-房价预测任务概述.flv [29.49M]

2-离散形数据.flv [21.61M]

3-数据对数变换.flv [20.54M]

4-缺失值处理与box-cox变换.flv [24.66M]

5-模型预测.flv [26.81M]

30 深度学习必备原理与实战 [339.35M]

案例：案例实战cifar图像分类任务 [136.27M]

1-神经网络案例-cifar分类任务.flv [37.21M]

2-神经网络案例-分模块构造神经网络.flv [36.40M]

3-神经网络案例-训练神经网络完成分类任务.flv [35.42M]

4-神经网络架构-感受神经网络的强大.flv [27.24M]

算法：深度学习必备基础知识点 [44.36M]

1-线性分类.flv [10.17M]

2-损失函数.flv [11.19M]

3-正则化惩罚项.flv [8.07M]

4-softmax分类器.flv [14.94M]

算法：深度学习概述与计算机视觉挑战 [55.64M]

1-深度学习概述.flv [17.78M]

2-挑战与常规套路.flv [13.06M]

3-用k近邻来进行分类.flv [12.31M]

4-超参数与交叉验证.flv [12.50M]

算法：神经网络整体架构 [64.18M]

1-整体架构.flv [11.37M]

2-实例演示.flv [34.59M]

3-过拟合解决方案.flv [18.22M]

算法：最优化与反向传播 [38.89M]

1-最优化形象解读.flv [8.43M]

2-最优化问题细节.flv [13.09M]

3-反向传播.flv [17.37M]

31 深度学习必备原理与实战2 [585.48M]

案例：gensim中文词向量建模 [85.28M]

1-使用gensim库构造词向量.flv [14.30M]

2-维基百科中文数据处理.flv [36.75M]

3-gensim构造word2vec模型.flv [17.44M]

4-测试模型相似度结果.flv [16.79M]

案例：案例实战cnn网络 [152.00M]

1-卷积池化反向传播.avi [47.92M]

2-卷积网络代码1.avi [45.28M]

3-卷积网络代码2.avi [58.80M]

案例：使用word2vec进行分类任务 [120.43M]

1-影评情感分类.flv [39.76M]

2-基于词袋模型训练分类器.flv [23.70M]

3-准备word2vec输入数据.flv [19.86M]

4-使用gensim构建word2vec词向量.flv [37.11M]

算法：卷积参数详解 [47.94M]

1-pading与stride.flv [20.97M]

2-卷积参数共享.flv [14.26M]

3-池化层原理.flv [12.72M]

算法：卷积神经网络基本原理 [70.17M]

1-卷积神经网络的应用.flv [30.26M]

2-卷积层解释.flv [17.23M]

3-卷积计算过程.flv [22.68M]

算法：自然语言处理-word2vec [109.67M]

0-开篇.flv [6.60M]

10-负采样模型.flv [7.61M]

1-自然语言处理与深度学习.flv [13.70M]

2-语言模型.flv [6.36M]

3-n-gram模型.flv [10.26M]

4-词向量.flv [9.83M]

5-神经网络模型.flv [11.84M]

6-hierarchical softmax.flv [11.15M]

7-cbow模型实例.flv [13.97M]

8-cbow求解目标.flv [6.48M]

9-锑度上升求解.flv [11.87M]

32 深度学习必备原理与实战3 [824.08M]

框架：tensorflow构建cnn网络 [110.15M]

1-卷积神经网络模型架构.flv [19.71M]

2-卷积神经网络模型参数.flv [45.14M]

3-模型的保存和读取.flv [45.30M]

框架：tensorflow构建rnn网络 [79.58M]

1-使用rnn处理mnist数据集.flv [17.31M]

2-rnn网络模型.flv [26.68M]

3-训练rnn网络.flv [35.58M]

框架：tensorflow加载训练好的模型 [52.82M]

1-加载训练好的vgg网络模型.flv [23.22M]

2-使用vgg模型进行测试.flv [29.60M]

框架：tensorflow框架构造回归模型 [103.54M]

1-构造线性回归模型.flv [28.12M]

2-mnist数据集简介.flv [17.62M]

3-逻辑回归框架.flv [24.15M]

4-迭代完成逻辑回归模型.flv [33.66M]

框架：tensorflow神经网络模型 [81.47M]

1-神经网络模型架构.avi [27.39M]

2-训练神经网络.avi [54.08M]

框架：深度学习框架tensorflow基本操作 [59.37M]

1-tensorflow简介.flv [928.29K]

2-tensorflow安装.flv [15.24M]

3-基本计算单元-变量.flv [15.63M]

4- 常用基本操作.flv [27.59M]

算法：经典网络架构与物体检测任务 [72.44M]

1-经典网络架构.flv [19.75M]

2-分类与回归任务.flv [23.76M]

3-三代物体检测算法.flv [28.92M]

算法：网络模型训练技巧 [143.09M]

1-数据增强策略.flv [13.56M]

2-transferlearning.flv [11.21M]

3-巧妙设计神经网络.flv [118.32M]

项目：深度学习项目实战-验证码识别 [121.62M]

1-验证码数据生成.flv [25.35M]

2-构造网络的输入数据和标签.flv [26.14M]

3-卷积网络模型定义.flv [37.90M]

4-迭代及测试网络效果.flv [32.23M]

33 深度学习必备原理与实战4 [545.52M]

框架：caffe框架常用工具 [96.35M]

1-生成网络配置文件.flv [24.20M]

2-对训练的网络模型绘制loss曲线.flv [25.38M]

3-对训练结果进行分类任务.flv [46.77M]

框架：caffe框架小技巧 [101.50M]

1-使用命令行训练网络.flv [34.82M]

2-使用python定义自己的层.flv [43.92M]

3-绘制网络结构图.flv [22.76M]

框架：caffe制作数据源 [218.65M]

1-制作lmdb数据源.flv [174.36M]

2-多label问题之hdf5数据源.flv [44.29M]

框架：深度学习框架caffe网络配置 [129.03M]

1-caffe简介.flv [16.94M]

2-网络配置文件-数据层.flv [31.82M]

3-网络配置文件-计算层.flv [42.19M]

4-超参数solver文件.flv [38.09M]

34 深度学习项目实战 [671.60M]

项目实战：关键点检测第二阶段模型实现（基于caffe） [223.97M]

1-第二三阶段数据源制作.flv [60.44M]

2-第二三阶段网络模型训练.flv [24.82M]

3-网络模型参数初始化.flv [28.24M]

4-完成全部测试结果.flv [34.03M]

5-人脸关键点检测效果.flv [23.13M]

6-项目总结分析.flv [24.16M]

7-算法框架分析.flv [29.15M]

项目实战：关键点检测第一阶段网络训练（基于caffe） [157.75M]

0-人脸关键点算法概述.flv [15.72M]

1-多标签数据源制作及其坐标转换.flv [60.05M]

2-对数据进行增强.flv [22.98M]

3-完成第一阶段数据源制作.flv [37.41M]

4-第一阶段网络训练.flv [21.59M]

项目实战：人脸检测数据源制作与网络训练（基于caffe） [130.24M]

0-项目概述.flv [2.44M]

1-数据获取.flv [19.45M]

2-正负样本数据裁剪.flv [19.20M]

3-txt数据制作.flv [20.58M]

4-lmdb脚本文件.flv [12.08M]

5-制作lmdb数据源.flv [16.38M]

6-网络配置文件.flv [18.10M]

7-超参数和训练网络.flv [22.02M]

项目实战：实现人脸检测（基于caffe） [159.64M]

1-检测框架.flv [19.83M]

2-scale变换和预处理.flv [29.01M]

3-坐标变换.flv [23.65M]

4-nms完成代码.flv [15.47M]

5-测试效果及改进.flv [17.70M]

6-矫正过程.flv [20.47M]

7-如何提高精度.flv [11.12M]

8-项目总结.flv [22.39M]

35 深度学习项目实战2 [695.39M]

第5节 项目实战：机器人写唐诗 [183.61M]

0-开场_rnn.flv [1.43M]

10-训练唐诗生成模型.flv [9.34M]

11-测试唐诗生成效果.flv [17.56M]

1-递归神经网络（rnn）概述.flv [11.19M]

2-rnn网络细节.flv [12.06M]

3-lstm网络架构.flv [12.22M]

4-任务概述与环境配置.flv [12.13M]

5-参数配置.flv [17.40M]

6-数据预处理模块.flv [29.74M]

7-batch数据制作.flv [23.06M]

8-rnn模型定义.flv [14.54M]

9-完成训练模块.flv [22.93M]

第6节 项目实战：文本分类任务解 [93.21M]

1-开场.flv [3.81M]

2-数据任务简介.flv [6.42M]

3-使用cnn进行文本分类原理.flv [15.03M]

4-使用tensorflow配置参数.flv [24.55M]

5-数据读取.flv [21.53M]

6-数据切分.flv [21.88M]

项目实战：dqn让ai自己玩游戏（基于tensorflow） [51.51M]

1-deepqnetwork原理.flv [7.38M]

2-dqn网络细节.flv [12.44M]

3-dqn网络参数配置.flv [12.36M]

4-搭建dqn网络模型.flv [19.33M]

项目实战：lstm情感分析（基于tensorflow） [125.78M]

1-rnn网络架构.flv [15.06M]

2-lstm网络架构.flv [12.99M]

3-案例：使用lstm进行情感分类.flv [25.77M]

4-情感数据集处理.flv [28.39M]

5-基于word2vec的lstm模型.flv [43.58M]

项目实战：对抗生成网络（基于tensorflow） [102.67M]

1-对抗生成网络原理概述.flv [15.62M]

2-gan网络结构定义.flv [17.52M]

3-gan迭代生成.flv [30.97M]

4-dcgan网络特性.flv [14.16M]

5-dcgan训练.flv [24.41M]

项目实战：强化学习基础（基于tensorflow） [138.61M]

10-qlearning效果演示.flv [11.22M]

1-强化学习概念（开场）.flv [16.20M]

2-强化学习基本概念.flv [11.04M]

3-马尔科夫决策过程.flv [10.53M]

4-bellman方程.flv [14.95M]

5-值迭代求解.flv [11.62M]

6-完成值迭代代码.flv [18.46M]

7-求解流程详解.flv [22.76M]

8-qlearning基本原理.flv [9.15M]

9-qlearning迭代计算实例.flv [12.69M]

36 深度学习项目实战3

3.项目实战：style-transfer工作原理（基于tensorflow）

4.项目实战：style-transfer实战（基于tensorflow）

第1节 项目实战：seq2seq序列生

第2节 项目实战：seq2seq序列模

第5节 12306抢票实战

课件资料 [30.95G]

安装包、开发工具、注册 [11.66G]

pycharm开发工具与激活方法 [2.47G]

anaconda3-5.0.1-linux-x86_64.sh [525.28M]

anaconda3-5.0.1-macosx-x86_64.pkg [568.89M]

anaconda3-5.0.1-windows-x86_64.exe [514.82M]

notepad++_7.5.4_installer.exe [3.97M]

pycharm-professional-2017.3.2.dmg [330.34M]

pycharm-professional-2017.3.2.exe [243.77M]

pycharm-professional-2017.3.2.tar.gz [339.55M]

pycharm-professional-2017.x环境搭建安装与激活–请先看我！！！.pdf [1.60M]

虚拟机安装包以及注册机 [9.19G]

00ubuntu安装资料.zip [1.53M]

centos-6.9-x86_64-bin-dvd.iso [3.70G]

centos-6.9-x86_64-min.iso [408.00M]

ubuntu-16.04.zip [4.82G]

vmware workstation 12.rar [283.17M]

vmware workstation 12或者14 pro永久激活密钥.txt [0.17K]

基础班-就业班课件资料 -1-4位基础班 5-14就业班 [19.28G]

01python核心编程阶段-linux基础 [4.61M]

linux_html.rar [3.62M]

vi_markdown.zip [0.99M]

02python核心编程阶段-python基础 [11.70M]

代码 [280.25K]

01_python基础.zip [10.09K]

02_分支.zip [9.90K]

03_循环_01_基础.zip [6.44K]

03_循环_02_完整.zip [11.02K]

04_函数.zip [11.35K]

05_高级数据类型_day05.zip [14.23K]

05_高级数据类型_day06.zip [17.40K]

06_名片管理视频代码和备课代码.zip [184.10K]

07_语法进阶.zip [15.72K]

课件 [11.43M]

day01_markdown.zip [1.20M]

day02_markdown.zip [6.08M]

day03_markdown.zip [3.23M]

day04_markdown.zip [6.36K]

day05_markdown.zip [302.75K]

day06_markdown.zip [354.60K]

day07_markdown.zip [270.38K]

03python核心编程阶段-面向对象 [14.97M]

代码 [72.69K]

08_面向对象基础.zip [16.24K]

09_面向对象特性.zip [15.87K]

10_python综合.zip [40.58K]

课件 [14.89M]

面向对象_html.zip [14.89M]

04python核心编程阶段-飞机大战 [3.18M]

代码 [665.53K]

飞机大战.rar [665.53K]

课件 [2.53M]

飞机大战_markdown.zip [2.53M]

05python和linux高级编程阶段 [328.52M]

1-6代码和截图 [239.63M]

01-网络-udp [2.38M]

[email protected] [585.27K]

[email protected] [726.63K]

[email protected] [272.87K]

[email protected] [473.23K]

[email protected] [378.90K]

代码.rar [3.93K]

02-网络-tcp [2.14M]

[email protected] [58.76K]

qq20171012-100003@2x(1).png [135.40K]

[email protected] [144.50K]

[email protected] [463.41K]

[email protected] [389.38K]

[email protected] [992.06K]

代码.rar [6.62K]

03-多任务-线程 [1.46M]

enumerate的复习.png [100.61K]

[email protected] [412.87K]

[email protected] [409.80K]

[email protected] [232.26K]

代码.rar [4.90K]

修改全局变量复习.png [335.62K]

04-多任务-进程 [1.96M]

代码.rar [1.96M]

05-多任务-协程 [0.98M]

[email protected] [540.64K]

[email protected] [456.94K]

代码.rar [6.95K]

06-正则表达式 [4.85K]

代码.rar [4.85K]

07-http协议、http服务器的实现-1 [22.94M]

http的request和response.txt [1.07K]

tcp三次握手、四次挥手.png [524.44K]

代码.rar [22.42M]

08-http服务器的实现-2 [23.18M]

[email protected] [401.80K]

[email protected] [285.77K]

代码.rar [22.51M]

09-tcp ip协议、wireshark、网络通信过程 [2.17M]

[email protected] [160.68K]

[email protected] [386.83K]

[email protected] [749.86K]

[email protected] [920.40K]

10-python提高-1 [1.58M]

[email protected] [141.01K]

[email protected] [48.05K]

[email protected] [94.69K]

[email protected] [152.94K]

[email protected] [70.31K]

[email protected] [253.25K]

[email protected] [277.76K]

[email protected] [65.65K]

代码.rar [7.35K]

浅拷贝.png [286.50K]

深拷贝.png [222.06K]

11-python提高-2 [4.79M]

[email protected] [428.01K]

[email protected] [819.07K]

[email protected] [304.84K]

[email protected] [178.27K]

[email protected] [536.09K]

[email protected] [431.91K]

[email protected] [370.36K]

[email protected] [407.89K]

[email protected] [144.74K]

[email protected] [552.84K]

[email protected] [389.64K]

[email protected] [163.87K]

[email protected] [177.33K]

代码.rar [0.56K]

12-mysql-1 [6.73K]

课堂笔记.sql [6.73K]

13-mysql-2

14-mysql-3

15-mysql-4 [308.10K]

[email protected] [186.26K]

[email protected] [109.93K]

课堂笔记.sql [11.91K]

16-wsgi、mini_frame（web框架） [166.06M]

web服务器示意图 [651.30K]

web服务器示意图.001.jpeg [308.79K]

web服务器示意图.002.jpeg [342.51K]

mini-frame（web框架）.png [530.75K]

[email protected] [595.22K]

代码.rar [164.33M]

17-闭包和装饰器 [3.26M]

[email protected] [266.39K]

[email protected] [397.57K]

[email protected] [369.70K]

[email protected] [369.62K]

[email protected] [741.00K]

[email protected] [919.42K]

[email protected] [269.30K]

代码.rar [5.22K]

18-mini_fram框架添加路由、mysql功能 [2.10M]

[email protected] [304.67K]

[email protected] [546.54K]

[email protected] [241.49K]

stock_db.sql [9.34K]

代码.rar [1.03M]

19-mini_frame路由支持正则、log日志 [1.32M]

代码.rar [1.32M]

20-元类、orm [2.99M]

元类、orm [1.99M]

元类、orm.001(1).jpeg [337.03K]

元类、orm.002.jpeg [361.52K]

元类、orm.003.jpeg [398.06K]

元类、orm.004.jpeg [398.76K]

元类、orm.005.jpeg [385.22K]

元类、orm.006.jpeg [158.22K]

python高级-快速复习、重点划分.text [4.64K]

[email protected] [120.97K]

[email protected] [212.44K]

[email protected] [688.19K]

1-6课件 [88.90M]

python高级-全部（html版）.rar [88.90M]

06前端开发阶段 [65.67M]

7-10前端资料.zip [65.67M]

07web全栈开发阶段-django框架-git版本管理-redis数据库-天天生鲜项目 [382.66M]

11-14django代码v3.1.zip [326.79M]

11-14django课件v3.1.zip [55.88M]

08-web全栈开发阶段-flask框架 [7.11M]

15-代码 [3.79M]

第二天 [1.06M]

code.zip [278.72K]

flask上下文.png [209.77K]

json模块的使用.png [157.84K]

session机制.png [257.11K]

session跨服务器.png [185.74K]

第三天 [241.90K]

code.zip [52.50K]

flask_sqlalchemy与数据库驱动.png [189.39K]

第四天 [1.05M]

code.zip [69.54K]

nginx.png [133.91K]

部署的结构图.png [169.78K]

解决sqlalchemy警告.png [250.48K]

循环引用.png [446.77K]

第一天 [1.44M]

code.zip [10.35K]

http通讯过程.png [291.30K]

to_python.png [615.19K]

to_url.png [558.97K]

15-课件 [3.33M]

flask课件资料.rar [3.33M]

09-web全栈开发阶段- [6.00M]

16-code.zip [13.23K]

16-课件.zip [5.39M]

服务器使用说明.png [617.30K]

10-web全栈开发阶段-爱家租房项目 [34.45M]

17-爱家租房项目 [34.45M]

第二天 [4.05M]

csrf防护过程.png [193.92K]

ihome_python04_day02.zip [2.93M]

开启csrf防护机制.png [415.58K]

图片验证码流程.png [215.53K]

未开启csrf防护时的攻击.png [319.67K]

第六天 [3.48M]

code_day06.zip [3.15M]

eq方法.png [101.87K]

参数说明.png [97.01K]

房屋列表时间条件编写.png [138.07K]

第七天 [7.97M]

ihome_python04_最终完整版.zip [3.15M]

rsa验证.png [1.16M]

手机网站支付流程.png [857.78K]

支付宝支付使用.docx [2.70M]

主从同步.png [127.87K]

第三天 [2.94M]

ihome_python04_day03.zip [2.94M]

第四天 [3.37M]

ihome_python04_day04.zip [3.10M]

缓存机制.png [274.03K]

第五天 [8.97M]

celery.zip [5.27M]

celery的结果说明.png [596.36K]

ihome_python04_day05.zip [3.11M]

第一天 [857.58K]

ihome_python04_day01.zip [17.95K]

房屋设施关系.png [442.44K]

前后端分离示意图.png [247.51K]

数据库模型关系.png [149.68K]

flask项目资料.zip [2.84M]

11-爬虫开发阶段-爬虫基础-mongodb数据库-爬虫scrapy框架和案例 [54.20M]

18-20爬虫代码v3.1.zip [15.81M]

18-20爬虫课件v3.1.zip [38.39M]

12-人工智能阶段-数据分析 [161.38M]

21-数据分析资料.zip [161.38M]

13-人工智能阶段-机器学习-深度学习 [215.18M]

22-24机器学习和深度学习资料.zip [215.18M]

14-人工智能阶段：-机器学习-深度学习-实战项目 [17.98G]

25-python网络爬虫代码和笔记 [71.73M]

网络爬虫部分笔记资料.zip [71.73M]

26-28机器学习算法ppt [23.87M]

26-28机器算法学习资料.zip [23.87M]

26-28机器学习算法配套案例实战 [5.05G]

gmm聚类.zip [1.25M]

python时间序列.zip [110.70M]

word2vec.zip [4.71G]

xgboost调参.zip [26.06M]

贝叶斯python文本分析.zip [67.40M]

贝叶斯-拼写检查器.zip [2.37M]

贝叶斯-新闻分类.zip [9.91M]

降维算法.zip [443.73K]

聚类算法.zip [611.79K]

决策树.zip [138.04K]

科比数据集分析.zip [1.28M]

逻辑回归-信用卡欺诈检测.zip [66.12M]

神经网络.zip [43.57K]

数据预处理.zip [227.72K]

探索性数据分析.zip [35.06M]

梯度下降求解逻辑回归.zip [681.70K]

推荐系统.zip [21.57M]

支持向量机.zip [2.25M]

29-数据挖掘案例 [1.25G]

kaggle数据调查.zip [13.96M]

xgboost调参.zip [26.06M]

房价预测.zip [1.78M]

京东购买意向预测.zip [499.49M]

泰坦尼克号.zip [1.23M]

用户画像.zip [738.56M]

30-36深度学习 [11.59G]

anaconda-python3.5.zip [389.15M]

lstm情感分析.zip [98.48M]

seq2seq项目.zip [376.41M]

styletransfer.zip [84.04M]

tensorflow课程.zip [679.70M]

tensorflow垃圾邮件分类.zip [2.61M]

word2vec.zip [2.17G]

对抗生成网络.zip [1.18G]

强化学习.zip [127.74M]

深度学习 人脸检测数据代码.zip [5.32G]

深度学习-caffe案例.zip [216.95M]

深度学习-论文.zip [57.31M]

深度学习-人脸关键点.zip [583.81M]

神经网络入门基础（ppt，代码）.zip [173.67M]

唐诗生成项目.zip [197.27M]

markdown编辑器 [42.86M]

typora-setup-x64.exe [42.86M]

必读.txt [0.09K]

激活码2018692.txt [2.92K]