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Software Architecture with Python

You're reading from   Software Architecture with Python Design and architect highly scalable, robust, clean, and high performance applications in Python

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786468529
Length 556 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Anand Balachandran Pillai Anand Balachandran Pillai
Author Profile Icon Anand Balachandran Pillai
Anand Balachandran Pillai
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Toc

Table of Contents (12) Chapters Close

Preface 1. Principles of Software Architecture FREE CHAPTER 2. Writing Modifiable and Readable Code 3. Testability – Writing Testable Code 4. Good Performance is Rewarding! 5. Writing Applications that Scale 6. Security – Writing Secure Code 7. Design Patterns in Python 8. Python – Architectural Patterns 9. Deploying Python Applications 10. Techniques for Debugging Index

Secure coding


Secure coding is the practice of software development that guards programs against security vulnerabilities, and makes it resistant to malicious attacks right from program design to implementation. It is about writing code that is inherently secure as opposed to thinking of security as a layer which is added on later.

The philosophies behind secure coding include the following:

  • Security is an aspect to be considered right from the design and development of a program or application; it is not an afterthought.

  • Security requirements should be identified early in the development cycle, and these should be propagated to subsequent stages of development of the system to make sure that compliance is maintained.

  • Use threat modeling to anticipate security threats to the system from the beginning. Threat modeling involves the following:

    1. Identifying important assets (code/data).

    2. Decomposing the application into components.

    3. Identifying and categorizing threats to each asset or component.

    4. Ranking...

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