All Projects → mindawei → P2p

mindawei / P2p

一个基于 python 的 flask 框架的资讯网站, http://119.29.100.53:8086/

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to P2p

Bgp Dashboard
BGP Dashboard and Monitoring Web Application
Stars: ✭ 268 (+857.14%)
Mutual labels:  mongodb, flask
Octblog
Yet another blog system powered by Flask and MongoDB
Stars: ✭ 421 (+1403.57%)
Mutual labels:  mongodb, flask
Wikipedia Map
A web app for visualizing the connections between Wikipedia pages.
Stars: ✭ 302 (+978.57%)
Mutual labels:  flask, website
Phpfastcache
A high-performance backend cache system. It is intended for use in speeding up dynamic web applications by alleviating database load. Well implemented, it can drops the database load to almost nothing, yielding faster page load times for users, better resource utilization. It is simple yet powerful.
Stars: ✭ 2,171 (+7653.57%)
Mutual labels:  mongodb, website
Sparrow
运维管理平台(python3+flask+pycharts+apscheduler+gunicorn),模块化结构设计,底层依托mysql、influxdb、elasticsearch、zabbix、k8s等数据源数据
Stars: ✭ 723 (+2482.14%)
Mutual labels:  flask, website
Quokka
LOOKING FOR NEW MAINTAINER - Quokka is a Content Management System - `docker run --rm -it -p 5000:5000 quokka/quokka`
Stars: ✭ 2,198 (+7750%)
Mutual labels:  mongodb, flask
Data Driven Web Apps With Flask
Course demo code and other hand-out materials for our data-driven web apps in Flask course
Stars: ✭ 388 (+1285.71%)
Mutual labels:  mongodb, flask
Vue2 Shop
A shop developed with Vue2 + Vue-router + Axios + Vuex + Node + Express + MongoDB + Webpack
Stars: ✭ 103 (+267.86%)
Mutual labels:  mongodb, website
Flaskex
Simple flask example for quick prototypes and small applications
Stars: ✭ 679 (+2325%)
Mutual labels:  flask, website
Osroom
[很多问题在维修中, 作者疫情期间忙碌,很多问题无法及时处理] 准备v3.0 Beta, v2.2维护少| OS鹿 | Python Flask开源网站
Stars: ✭ 557 (+1889.29%)
Mutual labels:  mongodb, flask
Appkernel
API development made easy: a smart Python 3 API framework
Stars: ✭ 152 (+442.86%)
Mutual labels:  mongodb, flask
Social Listener
Python project used to collect tweets and social-network data from Social's API
Stars: ✭ 9 (-67.86%)
Mutual labels:  mongodb, flask
Origami
🔓 🔑 🔐 Origami: Artificial Intelligence as a Service
Stars: ✭ 140 (+400%)
Mutual labels:  mongodb, flask
Machine Learning
Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)
Stars: ✭ 235 (+739.29%)
Mutual labels:  mongodb, flask
Yspider
yspider -- 轻量级爬虫系统
Stars: ✭ 125 (+346.43%)
Mutual labels:  mongodb, flask
Pepy
pepy is a site to get statistics information about any Python package.
Stars: ✭ 369 (+1217.86%)
Mutual labels:  flask, website
Flask Restful Authentication
An example for RESTful authentication using nginx, uWSGI, Flask, MongoDB and JSON Web Token(JWT).
Stars: ✭ 63 (+125%)
Mutual labels:  mongodb, flask
Blogreworkpro
Rework the BlogRework, a SEO friendly SPA, build with flask, react, redux, mongodb...
Stars: ✭ 86 (+207.14%)
Mutual labels:  mongodb, flask
Pb
pb is a formerly-lightweight pastebin and url shortener
Stars: ✭ 448 (+1500%)
Mutual labels:  mongodb, flask
Eve
REST API framework designed for human beings
Stars: ✭ 6,421 (+22832.14%)
Mutual labels:  mongodb, flask

一个基于 python 的 flask 框架的资讯网站

演示地址: http://119.29.100.53:8086/

1 背景介绍

该比赛要求参赛者开发一款数据舆情产品,帮助用户了解 P2P 行业现状。本人在比赛中负责网站的设计、开发和部署。团队最终排名第2。涉及内容:

  • 前端:HTML5 + CSS + JavaScript+JSON
  • 后台:Python轻量级Web应用框架Flask

2 项目基本介绍

  • 项目介绍PPT
  • 本项目主要是一个展示数据的网站。
  • 数据来源是其它三位队友爬取数据后处理得到的,他们的项目在 others 目录中。
  • 本项目数据源在 static/data 目录中,项目启动前需要将它们导入到 mongodb 数据库中。

3 QuickStart

3.1 安装环境

  1. 安装 python 2.7
    下载 python 安装文件,安装后配置系统环境变量。
    可参考《Flask入门_Windows下安装》

  2. 安装 flask
    命令行运行 pip install flask
    可参考《Flask入门_Windows下安装》

  3. 安装 pymongo
    命令行运行 pip install pymongo

  4. 安装mongodb 数据库

3.2 启动项目

  1. 在 mongodb 目录的 bin 目录中执行 mongod.exe 文件。
    C:\software\mongdb3.6.3\bin>mongod --dbpath C:\software\mongdb3.6.3\db

  2. 将数据导入到 mongodb 数据库中。
    项目目录下运行 data_to_mongodb.py 文件, 命令行输入 python data_to_mongodb.py

  3. 启动项目。
    项目目录下运行 run.py 文件, 命令行输入 python run.py

  4. 访问项目
    输入 http://localhost:8086 进行访问。

4 效果展示

访问地址: http://119.29.100.53:8086/

一个测试账号 用户名:test 密码: 123

5 后续项目

zsw 是基于该项目的一个简化版本,但是增加了一些帖子评论等功能。

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].