- Preface i
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1 Python Evolution, Runtime Model, and Interview Strategy 1
- 1.1 Python Version History and Evolution 1
- 1.2 Runtime Model and Execution 4
- 1.3 Python Philosophy and Culture 7
- 1.4 Memory Model and Runtime Internals 8
- 1.5 Language Ecosystem and Interview Preparation 14
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2 Python Fundamentals and Data Model 20
- 2.1 Objects, Identity, and Types 20
- 2.2 Mutability, Collections, and Truthiness 23
- 2.3 Scope, Strings, and Copies 26
- 2.4 Sets, Numbers, and Unpacking 34
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3 Functions, Arguments, Decorators, and Closures 43
- 3.1 Function Signatures and Argument Passing 43
- 3.2 Closures and Decorators 47
- 3.3 Lambda Expressions and Functional Tools 50
- 3.4 Advanced Decorator and Callable Patterns 57
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4 Collections, Iterables, Generators, and Comprehensions 64
- 4.1 Built-in Collections 64
- 4.2 Iterables, Iterators, and Generators 67
- 4.3 The collections Module in Depth 72
- 4.4 Sorting and Searching Utilities 75
- 4.5 The itertools Module 78
- 4.6 Advanced Generator Patterns 79
- 4.7 Modern Comprehension Features 83
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5 Object-Oriented Python, Dataclasses, and Protocols 85
- 5.1 Classes and Inheritance 85
- 5.2 Dataclasses and Protocols 90
- 5.3 Advanced Dataclasses and Enums 99
- 5.4 Metaclasses and Class-Creation Hooks 104
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6 Exceptions, Context Managers, Modules, and Packaging 107
- 6.1 Exceptions and Error Handling 107
- 6.2 Context Managers 111
- 6.3 Modules, Imports, and Packaging 113
- 6.4 ExceptionGroup and Modern Error Aggregation 127
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7 Typing, Testing, and Code Quality 130
- 7.1 Type Hints and Static Analysis 130
- 7.2 Testing and Code Quality 135
- 7.3 Advanced Typing Features 142
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8 Concurrency, Asyncio, and Background Work 154
- 8.1 The GIL, Threading, and Multiprocessing 154
- 8.2 asyncio and Async/Await 160
- 8.3 Synchronisation Primitives and the Futures API 167
- 8.4 Advanced asyncio Patterns 171
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9 Django Foundations, Project Structure, and Settings 181
- 9.1 Django History and Design Philosophy 181
- 9.2 Project Structure, Settings, and Configuration 185
- 9.3 Request/Response Lifecycle and Views 188
- 9.4 App Registry and Signals 195
- 9.5 Class-Based Views and Static Files 199
- 9.6 Middleware, Request Objects, and Transactions 205
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10 Django Models, ORM, Migrations, and Query Optimization 211
- 10.1 Models and Field Types 211
- 10.2 ORM Queries and Optimization 218
- 10.3 Migrations 226
- 10.4 Advanced ORM: Aggregation, Validation, and Bulk Operations 228
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11 Views, URLs, Templates, Forms, and Admin 245
- 11.1 Function-Based Views and Class-Based Views 245
- 11.2 Forms and Validation 250
- 11.3 Admin Customization 256
- 11.4 Response Types and URL Routing 258
- 11.5 Templates and URL Patterns 263
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12 Django REST Framework and API Design 273
- 12.1 DRF Fundamentals 273
- 12.2 Authentication, Permissions, and Throttling 279
- 12.3 Advanced DRF Patterns 283
- 12.4 Serializer Depth 287
- 12.5 ViewSets, Filtering, and Throttling 292
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13 Authentication, Authorization, Middleware, and Security 301
- 13.1 Authentication and Authorization 301
- 13.2 Middleware 307
- 13.3 Security 309
- 13.4 Token-Based and Social Authentication 314
- 13.5 Advanced Security and Production Hardening 320
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14 Caching, Performance, Queues, and Scalability 330
- 14.1 Caching 330
- 14.2 Database Performance 335
- 14.3 Background Tasks and Scalability 338
- 14.4 Query Optimization, Rate Limiting, and Read Scaling 349
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15 Deployment, Observability, and Production Troubleshooting 360
- 15.1 Deployment 360
- 15.2 Logging and Observability 366
- 15.3 Production Troubleshooting 370
- 15.4 Deployment Strategies and CI/CD 372
- 15.5 Containerization, Security, and Advanced Operations 380
The Python and Django Interview Compendium
Interview Questions and Answers for Python and Django Developers
A practical backend interview reference covering modern Python and Django development (397 manuscript pages).
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About the Book
The Python and Django Interview Compendium is a structured technical interview reference for developers working with modern Python and Django applications.
The content is organized around core Python language fluency, backend engineering patterns, Django architecture, API design, persistence, testing, security, and deployment topics that experienced engineers are commonly expected to explain in interviews.
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About the Author
Yohan Rodriguez
Yohan is a Senior Full-Stack Software Engineer with extensive experience delivering scalable, end-to-end software solutions across web, enterprise, and cloud-based environments. He specializes in architecting robust platforms, modernizing legacy systems, driving cloud transformation efforts, and building integration-heavy applications that support critical business workflows. He is recognized for translating complex requirements into reliable, maintainable, and high-value solutions across industries such as insurance, cybersecurity, and professional services.
Known for combining strong technical execution with a practical business mindset, he has contributed to projects from concept and design through production delivery and long-term support. His experience includes collaborating with cross-functional teams, improving development workflows, solving complex technical challenges, and helping organizations deliver dependable software products that adapt to changing business needs. He brings a balanced approach to engineering that values quality, efficiency, and continuous improvement.
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