What are some common Python dependency management tools?

What are some common Python dependency management tools?

Some popular Python dependency management tools include pip, poetry, and conda. Would you like to know more about any of these?

Can you explain how pip works?

Pip is the package installer for Python. It allows you to install and manage libraries and dependencies from the Python Package Index (PyPI). You can use commands like 'pip install package_name' to add packages to your project.

What about poetry? How is it different from pip?

Poetry is a dependency management tool that not only installs packages but also manages project dependencies and virtual environments. It uses a 'pyproject.toml' file to define dependencies, making it easier to manage complex projects.

Is conda suitable for Python projects?

Yes, conda is a package manager that can handle packages from any language, but it's particularly popular in the Python data science community. It manages environments and dependencies effectively, especially for scientific computing.