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Languages & runtimes · #python
Choosing NetworkX Graph vs MultiGraph is crucial when your data contains parallel edges. This guide explains the differences, shows a code example, discusses memory trade‑offs, and lists common pitfalls to help you decide which type preserves your network’s integrity.
Pin matplotlib to the Agg backend so chart generation works on CI runners and display-less containers, with verification steps, memory limits, and the cases where Agg is the wrong tool.
A practical guide to configuring uWSGI's cheaper subsystem for dynamic worker scaling in Python WSGI applications, covering prerequisites, algorithm selection, tuning parameters, verification steps, and recovery from common misconfigurations.
Python 3.11's asyncio.TaskGroup enforces structured concurrency: child tasks are awaited on exit, exceptions cancel siblings and re-raise as ExceptionGroup. Covers design, trust boundaries, failure modes, and when to use a supervised nursery instead.
Plotly's frame-based animation API adds a playable slider to any chart with a few lines of Python. Here's a worked example, plus the file-size trade-offs that decide when it's the right tool.
PyCharm breakpoints can do far more than stop on a line. Conditional breakpoints and Evaluate-and-Log turn a 10,000-click Resume marathon into a targeted stop or a silent trace.
nx.connected_components is easy to call and easy to misread — singletons, one-shot generators, and the weakly-vs-strongly choice all change the number you report.
Combine pytest fixtures with indirect parametrization to eliminate test setup duplication while keeping test functions readable. A worked example shows how to pass scenario names into a fixture that returns tailored test data.
Step-by-step guide to configuring PyCharm Professional for remote Python development over SSH: deployment setup, interpreter mapping, run/debug configuration, and verification checks.
matplotlib
uwsgi
plotly
pytest
ssh