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How do I manage dependencies in a Python project?

Use `requirements.txt` or `Pipfile` to list project dependencies. Consider using virtual environments to isolate project dependencies and avoid conflicts.

Managing dependencies in a Python project is crucial for maintaining a clean and functional development environment. One common approach is to create a requirements.txt file that lists all the packages your project depends on, along with their version specifications. This file can be easily created by running pip freeze > requirements.txt. For more complex dependency management, consider using Pipenv, which utilizes a Pipfile and Pipfile.lock to handle project dependencies and their versions more effectively. Additionally, it's essential to use virtual environments, such as venv or virtualenv, to create isolated environments for your projects. This practice prevents conflicts between package versions across different projects. When developing, regularly update your dependencies to ensure you have the latest features and security fixes, but be cautious about breaking changes. Tools like pip-audit can help identify vulnerabilities in your dependencies. By following these practices, you can effectively manage dependencies in your Python projects.

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