8. Production
Putting a Python program to use requires moving it from a development environment to a production environment. Supporting disparate configurations like this can be a challenge. Making programs that are dependable in multiple situations is just as important as making programs with correct functionality.
The goal is to productionize your Python programs and make them bulletproof while they’re in use. Python has built-in modules that aid in hardening your programs. It provides facilities for debugging, optimizing, and testing to maximize the quality and performance of your programs at runtime.
Item 54: Consider Module-Scoped Code to Configure Deployment Environments
A deployment environment is a configuration in which your program ...
Get Effective Python: 59 Specific Ways to Write Better Python now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
