Spring Python 1.1

Create powerful and versatile Spring Python applications using pragmatic libraries and useful abstractions

Spring Python 1.1

Greg L. Turnquist

Create powerful and versatile Spring Python applications using pragmatic libraries and useful abstractions
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Book Details

ISBN 139781849510660
Paperback264 pages

Book Description

Spring Python captures the concepts of the Spring Framework and Spring Security and brings them to the world of Python and provides many functional parts to assemble applications. Spring Python is all about using the many useful features of Spring to the fullest and making these features available when working with Python.

Get to grips with all of the concepts of Spring and apply these to the language and environment of Python to develop powerful applications for your own personal requirements. The book provides an introduction to Spring Python and steadily takes you towards the advanced features that this integration has to offer.

Spring uses the Java programming language. Spring Python, the first Spring extension to go live, allows developers to make maximum use of Spring features in Python. This book starts off by introducing each of the core building blocks of Spring Python using real code examples and high-level diagrams. It explores the various concepts of Spring Python with the help of examples and case studies and focuses on vital Spring Python features to make the lives of Python and Java developers simple. The early chapters cover simple applications with simple operations including data access, and then subsequent chapters scale up to multi-node, secured, transactional applications stopping short of very advanced level complexity.

Table of Contents

Chapter 10: Case Study II—Integrating Spring Python with your Java Application

What You Will Learn

 

  • Use the most advanced Inversion of Control or Dependency Injection container for Python
  • Quickly write SQL queries without having to manage the connections
  • Plug-in raw SQL without having to learn another query language
  • Find out how to scale your application by spreading your components across multiple machines
  • Link Python and Java components together with little effort through the power of Jython
  • Learn how to add security to your Python application without breaking the bank
  • Utilize sophisticated database transactions without rewriting your application
  • Configure database or LDAP-based Spring Security for your Python application
  • Split your single-node application into a multi-node, scalable application with minimal changes
  • Discover how to use Spring Python's command-line utility and write your own plugin
  • See how all the blocks work together in the case studies—filled with code samples, screenshots, and high-level diagrams

Authors

Table of Contents

Chapter 10: Case Study II—Integrating Spring Python with your Java Application

Book Details

ISBN 139781849510660
Paperback264 pages
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