Backend Development 4 min read

Online Movie Website Built with Python Flask – Project Overview and Setup Guide

This article introduces a beginner‑friendly online movie website project built with Python Flask, detailing its architecture, front‑end and back‑end features, required environment, dependency installation, and deployment steps, complemented by screenshots and a QR code for free Python learning resources.

Python Programming Learning Circle
Python Programming Learning Circle
Python Programming Learning Circle
Online Movie Website Built with Python Flask – Project Overview and Setup Guide

Today we share an online movie website system developed with the Python Flask framework.

Project Introduction

The front‑end of the site is written in HTML5 using the Bootstrap framework, while the back‑end is implemented in Python 3 with Flask, and MySQL serves as the database. Development is done in PyCharm.

Features include a front‑end module for browsing, searching, filtering, login/registration, and commenting on videos, as well as a back‑end module for managing videos, users, and administrators.

The project files are located in the movie_project directory.

To run the application, execute manage.py inside the movie_project directory.

An nginx.conf file is provided in the project root for reverse‑proxy deployment.

Runtime Environment

Version: Python 3

Install Dependencies

<code>pip3 install -r requirements.txt</code>

Project Screenshots

Home Page

Video Listing Page

Video Playback Page

Admin Management Page

Overall Architecture Diagram

Project Directory Structure

Front‑End Module Diagram

Back‑End Module Diagram

Local Run Diagram

Overall, this project is friendly for beginners and provides a solid example of deploying a small online site.

Scan the QR code below to receive free Python course materials, including e‑books, tutorials, project sources, and more.

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Python Programming Learning Circle
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Python Programming Learning Circle

A global community of Chinese Python developers offering technical articles, columns, original video tutorials, and problem sets. Topics include web full‑stack development, web scraping, data analysis, natural language processing, image processing, machine learning, automated testing, DevOps automation, and big data.

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