Archive
Structured guides and deep dives across Python, AI/ML, automation, and modern infrastructure. From first principles to production.
AI Agents & Multi-Agent Systems
You're deep in a feature build. The backend's coming together, but the frontend work is piling up. Your brain's split between two contexts. Commits are getting tangled.
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MLOps & Infrastructure
You've probably hit this wall: your transformer model screams along at short sequences, then suddenly chokes when you try to process longer contexts.
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Python Fundamentals
Master Python sorting, searching, and filtering -- from Timsort internals and multi-key sorting to binary search with bisect, generator pipelines, and top-N selection with heapq.
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MLOps & Infrastructure
You've got a 70 billion parameter model to train, eight high-end GPUs, and a question that keeps you up at night: which distributed training strategy will actually fit in memory without crawling to...
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Python Fundamentals
Go beyond list comprehensions with dictionary and set comprehensions in Python -- learn to build lookup tables, frequency maps, and filtered data structures in clean, expressive one-liners.
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AI Agents & Multi-Agent Systems
You've got 100 files to lint, 50 test suites to run, or 1000 API endpoints to document. Do you send Claude Code to grind through them sequentially? That's one approach—and it'll work.
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MLOps & Infrastructure
Ever tried training a large language model on your GPU cluster only to hit an out-of-memory error within minutes?
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Python Fundamentals
Learn how to write concise, performant Python with list comprehensions and generator expressions -- from basic transforms and filters to lazy evaluation and memory-efficient data pipelines.
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MLOps & Infrastructure
You've probably run `torch.nn.
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Python Fundamentals
Understand Python sets and frozensets from the ground up -- learn set operations, hash table internals, O(1) membership testing, and practical patterns for deduplication, filtering, and graph algorithms.
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