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Learning Python Application Development

You're reading from   Learning Python Application Development Take Python beyond scripting to build robust, reusable, and efficient applications

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785889196
Length 454 pages
Edition 1st Edition
Languages
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Author (1):
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Ninad Sathaye Ninad Sathaye
Author Profile Icon Ninad Sathaye
Ninad Sathaye
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Toc

Table of Contents (12) Chapters Close

Preface 1. Developing Simple Applications FREE CHAPTER 2. Dealing with Exceptions 3. Modularize, Package, Deploy! 4. Documentation and Best Practices 5. Unit Testing and Refactoring 6. Design Patterns 7. Performance – Identifying Bottlenecks 8. Improving Performance – Part One 9. Improving Performance – Part Two, NumPy and Parallelization 10. Simple GUI Applications Index

Selecting a versioning convention


How do we name new versions of the code? There are several versioning schemes in use. Let's quickly review a few popular ones.

Serial increments

In this scheme, you just increment the version number in a serial manner for each upgrade, for example, v1, v2, v3, and so on. However, this does not give any information on what a particular release is about. Just by looking at the version number, it is tough to tell whether a particular version introduces a revolutionary feature or just fixes a minor bug. It does not give any information on API compatibility. You can choose this simple versioning scheme if it is a small application with a small user base and a very limited scope.

Note

API compatibility

An Application Programming Interface (API), in simple terms, enables a piece of a program, say a library or an application, to talk to another one using a standard set of functions, methods, or objects.

Imagine a software library car that stores some data on a fancy...

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