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Practical Maya Programming with Python

You're reading from   Practical Maya Programming with Python Unleash the power of Python in Maya and unlock your creativity

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781849694728
Length 352 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Robert Galanakis Robert Galanakis
Author Profile Icon Robert Galanakis
Robert Galanakis
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introspecting Maya, Python, and PyMEL FREE CHAPTER 2. Writing Composable Code 3. Dealing with Errors 4. Leveraging Context Managers and Decorators in Maya 5. Building Graphical User Interfaces for Maya 6. Automating Maya from the Outside 7. Taming the Maya API 8. Unleashing the Maya API through Python 9. Becoming a Part of the Python Community A. Python Best Practices Index

Golden rules of error handling


Programs will inevitably have errors. How we leverage our language and tools to work with that fact is of the utmost importance.

Tip

Figuring out why an error in a program occurs is called debugging, and a specific discussion of debugging techniques is outside the scope of this book. However, following the guidelines for error handling here will reduce your (inevitable) time spent in debugging.

Keeping that in mind, we can establish some golden rules for dealing with errors and exceptions in Python. Adhering to these rules will make sure those errors that do occasionally occur can most effectively be learned from.

Focus on the critical path

The term critical path is defined as the longest necessary path through a network of activities. For tools and scripts in Maya, it would be something like the following:

"Given a scene and system configured correctly, the critical path are all the things the user must do in order to accomplish the primary purpose of the tool....

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