- Software Architecture with Python
- Table of Contents
- Software Architecture with Python
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Principles of Software Architecture
- Defining Software Architecture
- Characteristics of Software Architecture
- An architecture defines a structure
- An architecture picks a core set of elements
- An architecture captures early design decisions
- An architecture manages stakeholder requirements
- An architecture influences the organizational structure
- An architecture is influenced by its environment
- An architecture documents the system
- An architecture often conforms to a pattern
- Importance of Software Architecture
- System versus enterprise architecture
- Architectural quality attributes
- Summary
- 2. Writing Modifiable and Readable Code
- 3. Testability – Writing Testable Code
- 4. Good Performance is Rewarding!
- What is performance?
- Software performance engineering
- Performance testing and measurement tools
- Performance complexity
- Measuring performance
- Profiling
- Other tools
- Programming for performance – data structures
- Summary
- 5. Writing Applications That Scale
- Scalability and performance
- Concurrency
- Thumbnail generator
- Multithreading – Python and GIL
- Multithreading versus multiprocessing
- Pre-emptive versus cooperative multitasking
- The asyncio module in Python
- Waiting for a future – async and await
- Concurrent futures – high-level concurrent processing
- Scaling for the Web
- Scaling workflows – message queues and task queues
- Celery – a distributed task queue
- Summary
- 6. Security – Writing Secure Code
- 7. Design Patterns in Python
- 8. Python – Architectural Patterns
- 9. Deploying Python Applications
- Deployability
- Tiers of software deployment architecture
- Software deployment in Python
- Deployment – patterns and best practices
- Summary
- 10. Techniques for Debugging
- Maximum subarray problem
- Simple debugging tricks and techniques
- Logging as a debugging technique
- Debugging tools—using debuggers
- Advanced debugging—tracing
- Summary
- Index
Anand Balachandran Pillai is an Engineering and Technology professional with over 18 years of experience in the software industry in Product Engineering, Software Design and Architecture and Research. He has a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Madras.
He has worked at companies such as Yahoo!, McAfee, and Infosys in the roles of Lead Engineer and Architect in product development teams, to build new products.
His interests lie in Software Performace Engineering, High Scalability Architectures, Security and open source communities. He often works with startups in lead technical or consulting role.
He is the founder of the Bangalore Python Users Group and a Fellow of the Python Software Foundation (PSF).
Anand is currently working as Senior Architect of Yegii Inc.
Dedicated to friends & family
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