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'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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MLOps & Infrastructure
You're training large language models or vision transformers, and your single GPU just isn't cutting it anymore.
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AI Agents & Multi-Agent Systems
Here's the thing about AI agents: they're only as useful as the tools you give them.
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Python Fundamentals
Master Python dictionaries from creation to advanced patterns -- learn hash table internals, safe access with get(), defaultdict, dictionary comprehensions, and real-world caching and grouping techniques.
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MLOps & Infrastructure
You're staring at a 200GB dataset. Your model's been waiting 8 hours for training data to load.
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Python Fundamentals
Dive deep into Python tuples, unpacking tricks, and the modern typing.NamedTuple class -- learn when immutability is your best tool for safer, faster, and more expressive code.
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