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Technologies Involved:
DJANGO
Area Of Work: Machine Learning
Project Description

A fast-growing SaaS startup building lightweight web apps needed a clean and replicable project environment for their Django-based system. To speed up development across devices and teams, they required a setup guide that ensured uniformity, minimal errors, and quick deployment. The implementation delivered a fully operational, ready-to-run framework with clear setup steps and virtual isolation.
Scope Of Work

The client wanted to simplify environment setup with the help of Oodles and reduce configuration delays during onboarding. Key areas of work included virtual environment setup, dependency installation, migration execution, and backend launch. The setup aimed to streamline collaboration across development teams, ensuring consistent environments on all machines.
Our Solution

To streamline the startup’s development workflow, a lightweight, modular setup framework was built around Django’s ecosystem.

Key features implemented:

  • Environment Isolation: Used Python's venv to create a self-contained environment, eliminating package conflicts.
  • Centralized Dependency Handling: Enabled quick installation of all required packages via a single requirements.txt file.
  • Database Configuration: Applied Django’s migration tools to set up schema and prepare for immediate development.
  • Launch Readiness: Simplified server startup through runserver, allowing developers to test endpoints right after setup.

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