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movie_allimi

텔레그램을 활용한 용산아이파크몰 cgv 테넷 IMAX 상영관 예매 오픈 알리미

movie_catalog_springb_microservice

A sample Spring Boot microservice

movie_design

毕设(在线电影订票系统) java vue mysql

movie_history

트랜잭션 및 로그정보로 빅데이터 실습

movie_online

movie_poem

beego搭建的娱乐网站（抓取豆瓣电影与诗词）

movie_recommend

基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统

movie_reservation

영화 예매 프로그램

movie_reservation_application

롯데 jsp과제

movie_reservation_application-1

롯데 - jsp 와 servlet 을 이용한 영화예매 사이트 만들기 [ 과제 ]

movie_reservation_application-2

롯데 jsp과제

movie_reservation_application-3

롯데 jsp과제(영화 예매 사이트)

movie_reservation_application-4

Jsp, Servlet을 활용한 영화예매사이트🎞

movie_review-springboot

영화 리뷰사이트

movie_spider

本工程基于golang开发脚手架https://github.com/wangshibiaoFlytiger/apiproject 创建, 功能: 爬取网络上的免费影片资源, 同时提供api接口, 输出爬取结果 除了用到脚手架内包含的技术, 还用到了goquery, 用于爬取静态页面

movie_sys

电影后台管理系统+电影售票平台，前端使用vue+element开发，后端使用springboot+springsecurity

movie_system

电影院订票管理系统的设计与实现，有SSM和Springboot两个版本，系统功能包括： 后台：电影管理，电影场次管理，影院座位管理，用户管理，管理员管理，订票管理，评论管理，点赞管理，公告管理 前台：用户登陆注册，电影搜索，分页浏览，订票，取消订票，个人中心，评论点赞，订单支付，公告查询等。

movie_ticket

movie_ticket-1

[Spring] 영화 예매 웹 서비스

movie_ticket_booking_springboot_react

movie_web_spring_boot

This movie web app where you can perform CRUD operation on movie and user object. Technology used is Angular for frontend and Springboot,Java for backend. Databases used are mongo and mysql.

mozaik

Mozaïk is a tool based on nodejs / react / redux / nivo / d3 to easily craft beautiful dashboards

mp_take_out

基于SpringBoot + Vue 开发的前后端分离外卖点单系统，采用Shiro进行权限管理，使用uni-app开发微信小程序，支持微信登录、Redis缓存、quartz定时、导出数据等功能。

mps-operations

A Go implementation of the protocols for {MPSI, MPSIU, MPSI-Sum, MPSIU-Sum} described in Estimating Incidental Collection in Foreign Intelligence Surveillance: Large-Scale Multiparty Private Set Intersection with Union and Sum.

mpv

🎥 Command line video player

mreview

M:N 관계 설계 실습을 위한 영화 리뷰 게시판 SpringBoot 더미 프로젝트

ms-zs

学Java做的第一个后台管理项目

ms_novel

Go小说网站接口实战源码

mtbsystem

使用go-micro微服务实现的在线电影院订票系统

multi-level-models

repository of programs ran in SAS and SQL with top to bottom setup of initial database, to regression analysis, to mixed model design