Book Image

Hands-On Enterprise Application Development with Python

By : Saurabh Badhwar
Book Image

Hands-On Enterprise Application Development with Python

By: Saurabh Badhwar

Overview of this book

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.
Table of Contents (24 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Appendix 2. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Software Engineering with Python Brian Allbee

ISBN: 978-1-78862-201-1

  • Understand what happens over the course of a system's life (SDLC)
  • Establish what to expect from the pre-development life cycle steps
  • Find out how the development-specific phases of the SDLC affect development
  • Uncover what a real-world development process might be like, in an Agile way
  • Find out how to do more than just write the code
  • Identify the existence of project-independent best practices and how to use them
  • Find out how to design and implement a high-performance computing process

Clean Code in Python Mariano Anaya

ISBN: 978-1-78883-583-1

  • Set up tools to effectively work in a development environment
  • Explore how the magic methods of Python can help us write better code
  • Examine the traits of Python to create advanced object-oriented design
  • Understand removal of duplicated code using decorators and descriptors
  • Effectively refactor code with the help of unit tests
  • Learn to implement the SOLID principles in Python