Managing dependencies in a Python project can be done using a virtual environment along with a requirements.txt file. Tools like pip and pipenv simplify the process of installing and updating packages.

Managing dependencies effectively is crucial for maintaining a stable and reproducible Python project. One of the best practices for dependency management is to use a virtual environment. Tools like venv or virtualenv allow developers to create isolated environments for their projects, ensuring that dependencies do not interfere with each other. Within this virtual environment, you can use pip, Python’s package installer, to install packages as needed. To keep track of the specific versions of installed packages, you can create a requirements.txt file. This file lists all dependencies, making it easy for others to replicate your environment by running pip install -r requirements.txt. Additionally, tools like pipenv or Poetry provide more advanced dependency management features, such as automatic version resolution and the ability to create a Pipfile for managing dependencies. By adhering to these practices, developers can maintain clean and manageable Python projects, ensuring that all team members or collaborators have a consistent development environment.