The 3.13 / 3.14 / modern-stack changes every other tutorial still hasn't caught up to
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Genuinely-new-since-2024 Python: PEP 703 free-threaded / no-GIL, PEP 750 t-strings, asyncio.TaskGroup + timeout (3.11+), TypeIs + ReadOnly TypedDict (3.13), pattern matching mastery. Then the modern stack: uv-native workflows (no venv activate), Ruff + ty as your one lint+type toolchain, Pydantic v2 patterns, Polars vs Pandas decision matrix, FastAPI 0.110+ DI. Finally: Anthropic + OpenAI tool-use loops, minimal RAG with pgvector, Playwright async, modern httpx client patterns. Every lesson is under 10 minutes and targets a specific high-intent Google query that every 2022-era tutorial misses.
FastAPI 0.110+ Annotated Depends: the modern injection shape
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Anthropic tool-use loop in 60 lines, no framework needed
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OpenAI vs Anthropic SDK: side-by-side, 3 patterns
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Minimal RAG with pgvector: 100 lines, no LangChain
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Playwright async: modern scraping when BeautifulSoup fails
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Capstone: httpx.AsyncClient + connection pool + retries
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PEP 649 deferred annotations: kill the `from __future__` idiom
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PEP 734 multiple interpreters: real parallel Python without multiprocessing
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The new PyREPL: ditch IPython for 90% of interactive Python
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uv workspaces: monorepo layout that scales past one service
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PEP 723 inline script metadata: standalone Python files with real dep declarations
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uv tool vs uvx vs pipx: running Python CLIs without polluting your project
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Anthropic Skills: teach Claude to do one thing well, reuse it forever
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Structured outputs: Pydantic schema + Claude tool_use = typed JSON, no regex
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Prompt caching: cut Claude bill 90% on any conversation with a big system prompt
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MCP servers with FastMCP: expose your tools to Claude in 30 lines
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Agent memory patterns: short-term, long-term, and when to summarise
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Ollama + Python: when local LLMs actually beat the API
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