Archive
Structured guides and deep dives across Python, AI/ML, automation, and modern infrastructure. From first principles to production.
Claude Code
You've got 200 engineers. They're drowning in tickets about environment setup, deployment questions, and runbook confusion. Your platform team is firefighting instead of building.
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Claude Code
You've got a solid spec. You know exactly what needs to be built. Now you need an agent that can actually write the code without accidentally deleting your entire project or adding features nobody...
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Python Fundamentals
Understand how CPython manages memory under the hood and learn practical techniques like __slots__, generators, weak references, and tracemalloc to cut memory usage by 10x or more.
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MLOps & Infrastructure
Claude AI
Most AI prompts fail not because Claude is incapable, but because the instructions are vague - the 4-block prompt pattern (Instructions, Context, Task, Output Format) fixes that immediately.
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Python Fundamentals
Stop guessing where your Python code is slow and start measuring with cProfile, line_profiler, and Scalene to pinpoint CPU and memory bottlenecks with surgical precision.
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MLOps & Infrastructure
You're building a machine learning pipeline. Your dataset is massive - 10GB, 100GB, maybe more.
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Claude Code
You're running Claude Code at scale in your organization. Multiple teams are using agents. Some are building databases. Others are modifying critical infrastructure.
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MLOps & Infrastructure
You're about to deploy a model that cost three months of engineering effort. Everything checks out - your validation metrics look solid, your test set performed beautifully.
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Python Fundamentals
Take your async Python skills to production level with aiohttp for non-blocking HTTP, async generators for streaming data, and semaphores for controlled concurrency including a complete web crawler.
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