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Languages & runtimes · #python
Learn how to use Poetry dependency groups to separate production runtime requirements from development tools, reducing Docker image size and improving security.
Why pathlib.Path should be your default filesystem API: typed paths, the / operator, high-level I/O methods, and the honest trade-offs at string boundaries and hot loops.
Learn how to manage server-side state in Reflex using rx.State, optimize performance with @rx.var, and handle long-running tasks with async generators.
Learn how to use Streamlit’s st.session_state to keep data across reruns, build multi‑step forms, and avoid common pitfalls like memory bloat. A clear example, trade‑offs, and a quick checklist make it easy to implement in your next app.
Use @dataclass with __post_init__ to validate inputs and compute derived fields after initialization. Learn how to enforce invariants, handle mutable defaults, work with frozen dataclasses, and avoid common pitfalls like shared mutable state and inheritance issues.
Learn how Poetry's lock file and dependency groups give you reproducible Python installs and smaller deployment artifacts, with a concrete example and version-specific cautions.
A decision guide for Reflex developers choosing between in-memory state and rx.LocalStorage for client-side persistence. Covers constraints, a compact comparison table, trade-offs, a minimal working example, and validation steps.
Learn how to architect Google Colab notebooks for reliability by decoupling the ephemeral runtime from durable state, managing trust boundaries, and implementing operational smoke tests.
Stop runtime TypeErrors before they hit production. Learn how to use mypy for static type checking in Python, including gradual typing and CI/CD integration.
poetry
reflex
streamlit
googlecolab