Kniha Professional Python Workflows Raymond Colebrook

Professional Python Workflows

Testing, Packaging, and Deployment

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Očakávané naskladnenie
Naskladnenie 09. 06. 2026
19.68
Professional Python Workflows: Testing, Packaging, and Deployment is the ultimate guide for develope...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
218
EAN
9798198335455
Enbook ID
52816633
Hmotnosť
299
Rozmery
152 x 229 x 12

Kompletný popis

Professional Python Workflows: Testing, Packaging, and Deployment is the ultimate guide for developers who want to move beyond scripting and start building production-grade Python systems used in real-world environments. Whether you're working on APIs, data tools, automation systems, or open-source libraries, this book teaches you how to structure your development process like a seasoned engineer.

Inside, you'll discover how modern Python teams design, test, package, and ship software with confidence and speed. You'll learn how to eliminate fragile code practices, reduce deployment failures, and build workflows that scale effortlessly across teams and environments.

Inside this book, you will learn how to:
  • Design clean, maintainable Python project structures used in professional environments
  • Build robust automated testing pipelines using modern testing strategies
  • Package Python projects for reuse, distribution, and long-term maintainability
  • Master dependency management and environment isolation for consistent builds
  • Implement continuous integration workflows for reliable code delivery
  • Deploy Python applications safely across development, staging, and production systems
  • Apply industry best practices used in high-performing engineering teams

This book is not about theory-it's about real workflows used by working Python engineers to ship reliable software at scale. You'll learn how to eliminate chaos from your development process and replace it with repeatable systems that just work. By the end, you'll be able to confidently take any Python project from idea to production with clean structure, automated quality checks, and professional-grade deployment pipelines.