Python for Advanced Developers (2025) – Master Python with a Professional Approach
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π Python for Advanced Developers (2025) – Master Python with a Professional Approach
π Title: Python for Advanced Developers: Master Python with a Professional Approach – Learn advanced techniques in Python, including design patterns, optimization, security, and microservices
π¨π» Author: Walter Oliveira
π’ Publisher: Independently Published
π
Year: 2025
π Take Your Python Skills to a Professional Level
If you’ve already mastered Python basics and are ready to build high-performance, production-grade applications, this book is your next step.
“Python for Advanced Developers” by Walter Oliveira is designed for experienced Python programmers who want to write cleaner, faster, and more scalable code. The book dives deep into professional-level development practices, including design patterns, performance tuning, architecture, and security — everything needed to create robust modern systems.
π What You’ll Learn Inside
𧩠1. Advanced Python Fundamentals
- Deep dive into Python’s internals (memory management, garbage collection, GIL)
- Mastering iterators, generators, decorators, and context managers
- Understanding asynchronous programming with asyncio
- Writing type-safe and maintainable code using typing and mypy
π§ 2. Design Patterns and Architecture
- Applying classic and modern design patterns in Python (Factory, Observer, Strategy, Singleton)
- Building modular, extensible, and testable architectures
- Understanding SOLID principles in Python projects
- Dependency injection and component-based development
⚙️ 3. Performance Optimization
- Profiling and identifying performance bottlenecks
- Optimizing CPU and memory usage
- Parallelism and concurrency with multiprocessing, threading, and asyncio
- Leveraging NumPy, Cython, and Rust extensions for high-speed computation
π 4. Security and Best Practices
- Writing secure code to prevent injections, leaks, and serialization flaws
- Handling authentication and authorization in APIs
- Managing environment variables and secrets securely
- Data encryption, hashing, and secure storage
☁️ 5. Building Microservices and APIs
- Creating RESTful and GraphQL APIs with FastAPI and Flask
- Structuring and deploying microservices in Python
- Inter-service communication, message queues, and distributed systems
- Containerization using Docker, orchestration with Kubernetes
π§Ύ 6. Testing, CI/CD, and Deployment
- Unit, integration, and load testing using pytest
- Versioning and CI/CD automation with GitHub Actions and Jenkins
- Packaging and publishing Python projects
- Monitoring and logging in production environments
π¨π» Who This Book Is For
✅ Senior Python developers building scalable systems
✅ Software engineers & architects designing high-availability solutions
✅ Backend developers implementing APIs, cloud services, or microservices
✅ Data and ML engineers optimizing performance-critical code
✅ DevOps professionals automating Python systems
π§ This book moves you from “writing code that works” to “engineering systems that last.”
π‘ Why You’ll Love This Book
- 𧩠Comprehensive coverage of real-world Python engineering topics
- π§ Combines clean code, optimization, and architecture in one guide
- ⚙️ Includes hands-on examples for each design pattern and concept
- π Emphasizes security and maintainability — often overlooked in advanced guides
- π Written with a modern Python 3.11+ focus, ready for production
π― Become the kind of Python developer who writes not just functional code — but professional-grade, scalable, and secure software.
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π “Code like a pro. Build like an architect. Deliver like an engineer.” — Walter Oliveira
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