Python Dependency Management: uv vs pip

Managing Python packages can quickly become overwhelming with version conflicts and slow installation times. Understanding how to use classic tools alongside modern, high-performance alternatives is essential for efficient software development. This text-only course guides you through the modern Python packaging ecosystem, helping you transition from basic setups to professional, reproducible workflows. You will start by mastering foundational concepts, including package indexes, versioning, and virtual environments, before diving into practical comparisons. Through clear, written explanations and step-by-step code examples, you will learn to configure both tools effectively. What you'll learn: 1. Understand the core concepts of Python packaging, dependencies, and environment isolation. 2. Manage project requirements using classic pip and standard configuration files. 3. Configure uv to dramatically accelerate package installation and dependency resolution. 4. Create reproducible environments using lockfiles and modern packaging standards. 5. Resolve complex dependency conflicts and handle multi-platform requirements. 6. Apply best practices for structuring dependencies in professional Python workflows. This course begins with essential definitions and the structure of Python environments, then progresses to hands-on configuration scenarios comparing pip and uv. It is designed for beginner to intermediate Python developers looking to streamline their setup, with no prior packaging experience required. Start reading to optimize your Python development workflow today.