Книга Professional Python Workflows Raymond Colebrook

Professional Python Workflows

Testing, Packaging, and Deployment

Автор: Raymond Colebrook
Език: Английски език
Корици: С меки корици
Издател: Independently published
Наличност: Очаква се зареждане
Издание 09. 06. 2026
20.73 40.54 лв
Professional Python Workflows: Testing, Packaging, and Deployment is the ultimate guide for develope...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2026
страници
218
EAN
9798198335455
Enbook ID
52816633
Издател
Теглоt
299
Размери
152 x 229 x 12

Пълно описание

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.