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Spyder's IPython kernel integration uses a lightweight client-server model over ZeroMQ. This guide explains the minimal design, trust boundaries, operational checks, failure modes, and when to change the architecture for remote kernels or protocol updates.
%%time reports wall-clock and CPU time for a single Jupyter cell, but it misses async tasks, background threads, and front-end delays. Learn what it actually measures.
Learn how to configure Spyder's IPython console and Variable Explorer to maintain session state, perform inline data editing, and inspect Python objects in real-time.
Spyder's Variable Explorer gives you a live, editable view of your IPython kernel's namespace — DataFrames, arrays, and all. Here's how to use it well, and where it falls down.
Learn how to choose between 'Current Console' and 'Dedicated Console' in Spyder to balance iteration speed with environment isolation and avoid ghost variables.
Learn how to diagnose and fix Spyder's IPython console when it fails to start or becomes unresponsive, with step‑by‑step checks and fixes.
An architecture note on Spyder’s Variable Explorer: requirements, minimal Qt‑based design, trust boundaries, operational checks, failure modes, and design‑change conditions.
When executing a Python script via Spyder’s Run command, the IDE can enforce an execution timeout (Preferences → General → Advanced) and also respond to user‑initiated cancellation such as pressing Ctrl+C in the IPython console or clicking the Stop toolbar button. The goal is to clarify whether these two mechanisms operate independently, whether one takes pr
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