mkdir my_awesome_project cd my_awesome_project pipenv install requests Notice the output: Creating a virtualenv for this project... and Adding requests to Pipfile's [packages]... If you clone a project that has a Pipfile , you simply run:
[packages] my-private-lib = version=" ", index="private" requests = " " You can install directly from Git repositories: Pipfile
[packages] requests = editable = true, ref = "main", git = "https://github.com/requests/requests.git" Need Windows vs. Linux packages? Use environment markers: Linux packages
To install only production packages (e.g., for a Docker image): For decades, the humble requirements
Learn the Pipfile structure. Even if you never use Pipenv, you will understand the anatomy of modern Python dependency management—a skill that transfers directly to Poetry, PDM, and the emerging standards of tomorrow.
For decades, the humble requirements.txt file has been the cornerstone of Python dependency management. It’s simple, ubiquitous, and gets the job done. However, as Python projects grow from simple scripts to complex applications, the limitations of requirements.txt become painfully apparent: lack of environment separation, global installation conflicts, and ambiguity between top-level and sub-dependencies.