How do you set up continuous integration for a Python full stack project?

I-Hub Talent: The Best Full Stack Python Institute in Hyderabad

If you're looking for the best Full Stack Python institute in Hyderabad, I-Hub Talent is your ultimate destination. Known for its industry-focused curriculum, expert trainers, and hands-on projects, I-Hub Talent provides top-notch Full Stack Python training to help students and professionals master Python, Django, Flask, Frontend, Backend, and Database Technologies.

At I-Hub Talent, you will gain practical experience in HTML, CSS, JavaScript, React, SQL, NoSQL, REST APIs, and Cloud Deployment, making you job-ready. The institute offers real-time projects, career mentorship, and placement assistance, ensuring a smooth transition into the IT industry.

Join I-Hub Talent’s Full Stack Python course in Hyderabad and boost your career with the latest Python technologies, web development, and software engineering skills. Elevate your potential and land your dream job with expert guidance and hands-on training!

To set up Continuous Integration (CI) for a Python full stack project, follow these steps:

  1. Version Control: Ensure your code is hosted on a platform like GitHub, GitLab, or Bitbucket.

  2. Choose a CI Tool: Popular options include GitHub Actions, GitLab CI/CD, Travis CI, and CircleCI. For GitHub, create a .github/workflows/ci.yml file.

  3. Define the Workflow: In the CI config file, define jobs like installing dependencies, running tests, and linting. Example for GitHub Actions:

    1. Database Setup: If your backend needs a DB, use Docker services (like PostgreSQL) and configure test settings.

    2. Frontend: If using React/Vue, include a step to install Node and run frontend tests (npm ci && npm run test).

    3. Code Quality: Add tools like flake8, black, or mypy for linting and type checking.

    4. Artifacts & Coverage: Optionally upload test reports or coverage data for visibility.

    With this setup, every push or PR triggers automated checks, ensuring code quality and reliability.

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