How to Manage Python Environments with uv Instead of venv and pip

Managing Python dependencies is a common challenge that can be solved with virtual environments. The standard library's `venv` module, combined with `pip`, allows developers to create isolated environments and manage packages, but this process involves several manual steps. A newer tool called `uv` streamlines this workflow by integrating environment creation, dependency resolution, lockfile management, and project execution into a single command-line interface. The walkthrough compares setting up a project using both the traditional `venv`/`pip` method and the more modern `uv` approach, highlighting how `uv` simplifies replication and maintenance.