Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modern Python Workflows with uv: Lightning-Fast Packaging, Dependency, and Project Management

Modern Python Workflows with uv: Lightning-Fast Packaging, Dependency, and Project Management

Wexford, Caelan

Paperback

Programming

ISBN13: 9798896653998
Publisher: Nobletrex Press
Published: Jun 24 2026
Pages: 308
Weight: 0.91
Height: 0.65 Width: 6.00 Depth: 9.00
Language: English

Modern Python Workflows with uv: Lightning-Fast Packaging, Dependency, and Project Management

Python packaging and environment management have long been powerful but fragmented. This book is for experienced Python developers, platform engineers, and technical leads who want a sharper, faster, and more coherent workflow built around uv. Rather than treating uv as a simple performance upgrade, it presents it as a unified operational surface for modern Python development, from interpreter management to dependency locking, tool execution, packaging, and CI automation.

Readers will learn how uv models projects through pyproject.toml , uv.lock , and virtual environments; how dependency declarations, groups, extras, and alternative sources interact; and how exact synchronization creates reproducible systems. The book also covers controlled upgrades, pip-compatible migration paths, isolated CLI tool workflows, monorepo workspaces, package building and publishing, and high-performance CI caching strategies. By the end, readers will be able to design and operate uv-based workflows that are fast, deterministic, and scalable across teams.

The treatment is advanced, practical, and architecture-aware. It assumes familiarity with Python packaging concepts and focuses on deep operational understanding, trade-offs, and implementation choices rather than introductory explanations. Structured as a progressive guide, the book helps readers move from core mental models to production-grade adoption patterns with confidence.

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