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GeezerVison is showing flypython.com — Learn practical Python — FlyPython Ordered learning pathBeginner Build a dependable Python foundationCreate an isolated project, make one function contract explicit, and turn a useful script into a product you can change safely. Read: Build a dependable Python foundation with tests → More in this path:Build a Python product that can be changed safely →Modern Python typing in practice: Protocol, TypedDict, and PEP 695 →Decide whether to adopt free-threaded Python (3.15, no-GIL) →Adopt the uv workflow for Python projects → Beginner Define an HTTP boundarySpecify one endpoint, validate at the boundary, bound its dependencies, and write the test and release-evidence checklist. Read: Design a small Python web API with explicit boundaries → Intermediate Design a retryable workflow runWrite a run contract that makes repeated work observable, idempotent, safe to resume, and strict about business completion. Read: Design a retryable Python automation run → More in this path:Reliable async Python patterns and pitfalls → Intermediate starting point Add an agent only where judgment is neededRun the deterministic example, keep validation, tools, and deadlines outside the model, and apply the same discipline to coding agents. Read: Build a testable Python agent loop without an API key → More in this path:Migrate a Python MCP server to the 2026-07-28 specification →Use Python well with AI coding →Context budgeting and bounded tasks for coding agents →Give every coding agent one AGENTS.md source of truth (AGENTS.md tutorial) →Build LLM prompts with Python template strings (t-strings, PEP 750) → Put a path to work Complete one playbook and keep the output.The resource page turns each path into a checklist with a named artifact, and every runnable example has a one-command verifier. New and updated guides are also available through RSS → |
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