vLLM Production Deployment: Architecture and Configuration Guide
You've built an impressive LLM application. Your prototype works locally.
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MLOps & Infrastructure
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Structured guides and deep dives across Python, AI/ML, automation, and modern infrastructure. From first principles to production.
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Python Fundamentals
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Python Fundamentals
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Claude Code
Python Fundamentals
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539 articles
MLOps & Infrastructure
Python Fundamentals
Python Pathlib: Modern Path Handling
Replace fragile string-based file paths with Python's pathlib module for cross-platform, object-oriented path handling that makes your code cleaner and more maintainable.
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TensorRT-LLM Optimization: NVIDIA’s Inference Stack Deep Dive
You're running a language model in production and watching your inference latencies climb. Each request sits in a queue.
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Backward Compatibility Risk Review with Claude Code
You've just merged a feature branch. The code looks solid—tests pass, the logic is clean, and your team gave it thumbs up in the PR review.
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Reading and Writing Files in Python
Master Python file operations from the ground up, including read/write modes, context managers, encoding handling, and production-ready patterns for text and binary files.
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ONNX Runtime for Cross-Platform ML Inference
You've trained a beautiful transformer model in PyTorch. It works great on your development machine, achieves solid accuracy on your validation set, and you're ready to ship.
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Composition vs Inheritance: OOP Capstone Project
The OOP capstone project: refactor a real inheritance disaster into elegant composition, build a plugin system, and learn the code smells that tell you when to choose has-a over is-a.
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Knowledge Distillation Pipelines: Training Smaller, Faster Models
So you've built an amazing ML model. It's accurate, it's smart, but it's absolutely massive.
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Backfilling Integration Tests for Critical Workflows
Your core user workflows are running in production with zero integration test coverage.
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Design Patterns in Python: Factory, Strategy, Observer, and Singleton
Master the Factory, Strategy, Observer, and Singleton design patterns in Python. Learn both the traditional and Pythonic approaches, and discover when a simple function or dictionary does the job better than a class.
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