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Languages & runtimes · #python
Learn how to declare dev and test dependency groups in pyproject.toml, install them selectively, and keep your lock file in sync.
Learn how to define a Pytest fixture with module scope to share expensive setup across tests, see a concrete example, and understand the limits and common pitfalls.
Learn how to configure uWSGI’s cheaper algorithm to dynamically adjust worker counts, see a concrete example, and understand the trade‑offs involved.
Deciding between Plotly Express and Graph Objects is a balance of speed and control. Learn when to use high-level wrappers for tidy data and when to drop down to low-level traces for complex engineering.
Learn how to prevent resource leaks in Python using the Context Management protocol and the 'with' statement for deterministic cleanup of files, sockets, and database connections.
Learn how to configure and use PyCharm's SSH Interpreter to edit code locally while running it on a remote machine, with a concrete debugging example and practical verification steps.
Enable Ubuntu’s AppArmor, write a profile for a Python script, test it in complain mode, then enforce. Step‑by‑step instructions, trade‑offs, and best practices are covered.
Learn how to use Replit DB to maintain persistent application state in Python without configuring external databases. This guide covers implementation, JSON serialization, and performance trade-offs.
Learn how to create a virtual environment, register it as a Jupyter kernel, and verify that notebooks run with the isolated dependencies you expect.
poetry
pytest
uwsgi
plotly
ubuntu