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At Developer Service Blog, I believe great developers never stop learning.
That’s why I've curated a collection of premium resources designed to save you time, deepen your skills, and give you the tools to tackle bigger projects with confidence.
Whether you’re building APIs, mastering Python, or automating workflows, these resources are practical, actionable, and built for real-world results.
📚 Featured: Python Magic Methods
Format: eBook
Nuno Bispo
Unlock the hidden power of Python by mastering its magic methods — those double-underscore methods that make your code more elegant, powerful, and Pythonic.
In this book, you’ll learn how to:
- Customize object behavior with
__str__,__repr__,__len__, and more - Create operator overloading for your own classes
- Harness built-in protocols like iteration, context managers, and comparisons
- Write cleaner, more intuitive APIs
Whether you’re a beginner curious about Python’s deeper features or an experienced developer looking to refine your code, this guide is your shortcut to writing Python that feels like magic.
🎯 Other Premium Resources
🚀 (Coming Soon): FastAPI + Jinja2 + Bootstrap 5 + HTMX Pro Kit (3-Part Series)
Format: Downloadable Starter Kit (eBook, Code)
Perfect for: Developers who want a server-rendered stack with progressive interactivity, no heavy SPA required.
What you’ll build (out of the box)
- FastAPI backend with structured settings, dependency injection, logging, and auth-ready scaffolding.
- Jinja2 templates with partials/macros, layout system, and production-ready HTML structure.
- Bootstrap 5 UI prewired with utilities, forms, toasts, modals, and a clean base theme.
- HTMX interactions (no custom JS): inline CRUD, pagination, filtering, modal forms, toasts, and optimistic updates.
- SQLite→PostgreSQL switch with env-based config and Docker Compose.
🚀 (Coming Soon): FastAPI Load Balancer (3-Part Series)
Format: Downloadable Starter Kit (eBook, Code)
Level: Intermediate → Advanced
Outcome: Build a production-grade load balancer in FastAPI, from basics to dynamic health checks and real distribution logic.
What You’ll Learn:
- Implement load balancing in pure Python using FastAPI.
- Choose and swap strategies without rewriting core logic.
- Build health checks that actually improve SLOs.
- Instrument and observe your LB under real load.
- Deploy to containers and scale workers predictably.
Who It’s For
Backend engineers, SRE-curious devs, and FastAPI users who want practical scaling patterns without jumping straight to heavyweight proxies.
🚀 (Coming Soon): Pydantic Deep Dive (3-Part Series)
Format: Downloadable Starter Kit (eBook, Code)
Level: Beginner → Advanced
Outcome: Master Pydantic’s power for data validation, parsing, and serialization in Python, all applied to real-world projects.
What You’ll Learn:
- Model your data clearly and robustly.
- Validate and parse data in one step.
- Integrate Pydantic into APIs, configs, and pipelines.
- Make informed decisions about validation libraries.
My name is Nuno Bispo (a.k.a. Developer Service), and I love to teach and share my knowledge.
This blog is mostly focused on Python, Django and AI, but Javascript related content also appears from time to time.
Feel free to leave your comment and suggest new content ideas. I am always looking for new things to learn and share.
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