Online Movie Website System Developed with Python Flask
This article introduces a Python‑based online movie website built with the Flask framework, detailing its project structure, front‑end using HTML5 and Bootstrap, back‑end in Python 3, MySQL database integration, deployment instructions, and includes screenshots of the UI and architecture.
Today we share an online movie website system developed with Python's Flask framework.
Project Overview: The front‑end is built with HTML5 and the Bootstrap framework, while the back‑end uses Python 3 and Flask, connecting to a MySQL database; development is done in PyCharm.
Features: The front‑end provides video browsing, search, filtering, user login/registration, and comment/collection functions; the back‑end offers management of videos, users, and administrators.
Project Structure: The source resides in the movie_project directory, with manage.py as the entry point and an nginx.conf file for reverse‑proxy deployment.
Runtime Environment: Python 3.
Dependency Installation: pip3 install -r requirements.txt The article also includes several screenshots illustrating the homepage, video pages, backend management interface, overall architecture diagram, directory layout, and module diagrams for both front‑end and back‑end, as well as a local deployment view.
For beginners, this project serves as a friendly example of deploying a small online site.
Additional resources such as a free Python public course and related articles are linked at the end.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
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.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.