To manage dependencies in your Python project, use a virtual environment along with a package manager like pip. Create a requirements.txt file to list your dependencies for easy installation.

Managing dependencies is a crucial aspect of Python project development, as it helps ensure that your code runs consistently across different environments. One of the best practices is to use a virtual environment, which allows you to create an isolated workspace for your project, separate from the system-wide Python installation. Tools like venv or conda are commonly used to create virtual environments. Once your environment is set up, use pip, the Python package installer, to add dependencies. To make managing dependencies easier, create a requirements.txt file that lists all the packages your project needs. You can generate this file with the command pip freeze > requirements.txt, which captures the current environment's packages. Later, you can install these dependencies in a new environment using pip install -r requirements.txt. Additionally, consider using tools like Poetry or Pipenv for more advanced dependency management and environment configuration. By adopting these practices, you can maintain a clean, manageable, and reproducible Python project.