Managing dependencies in Python can be done using virtual environments and package managers like pip. Create a virtual environment for each project and use a requirements.txt file to list and install dependencies.

Effectively managing dependencies in Python is crucial for ensuring that projects run smoothly and do not conflict with each other. The best practice for managing dependencies is to use virtual environments, which allow you to create isolated environments for each project. This prevents conflicts between different projects that may require different versions of the same package. You can create a virtual environment using the venv module: python -m venv myenv. Once activated, you can install packages using pip, which installs them only within that environment. To track the dependencies for your project, maintain a requirements.txt file that lists all the packages your project needs. You can generate this file automatically using pip freeze > requirements.txt, and later, others can install the same dependencies using pip install -r requirements.txt. Regularly updating your dependencies is also important; you can use tools like pip list --outdated to check for updates. By following these practices, you can effectively manage dependencies in Python and maintain the integrity of your projects.