Hands-On Enterprise Application Development with Python

Design data-intensive Application with Python 3
by Saurabh Badhwar
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eBook

Publisher: Packt Publishing

Publication Date: January 01, 2019

ISBN: 9781789530636

Binding: Kobo eBook

Availability: eBook

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Architect scalable, reliable, and maintainable applications for enterprises with Python

Key Features

  • Explore various Python design patterns used for enterprise software development
  • Apply best practices for testing and performance optimization to build stable applications
  • Learn about different attacking strategies used on enterprise applications and how to avoid them

Book Description

Dynamically typed languages like Python are continuously improving. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. Hands-On Enterprise Application Development with Python will show you how to build effective applications that are stable, secure, and easily scalable.

The book is a detailed guide to building an end-to-end enterprise-grade application in Python. You will learn how to effectively implement Python features and design patterns that will positively impact your application lifecycle. The book also covers advanced concurrency techniques that will help you build a RESTful application with an optimized frontend. Given that security and stability are the foundation for an enterprise application, you’ll be trained on effective testing, performance analysis, and security practices, and understand how to embed them in your codebase during the initial phase. You’ll also be guided in how to move on from a monolithic architecture to one that is service oriented, leveraging microservices and serverless deployment techniques.

By the end of the book, you will have become proficient at building efficient enterprise applications in Python.

What you will learn

  • Understand the purpose of design patterns and their impact on application lifecycle
  • Build applications that can handle large amounts of data-intensive ...