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Developer tools · #spyder
Stale cache behavior in Spyder Spyder’s Variable Explorer snapshots the current namespace, and its code completion relies on the Language Server Protocol. When a package in the environment is upgraded or a module on disk is modified, the IDE may still display old symbols or values until a manual refresh occurs. The documentation does not state whether a simp
The Spyder Variable Explorer provides a GUI-based table viewer to inspect NumPy arrays and Pandas DataFrames, offering an alternative to the truncated output typically seen in the IPython console. To maintain IDE stability and prevent freezing, Spyder implements internal limits on the number of rows and columns rendered in this view. When working with datase
Goal: Determine whether a restored Spyder backup faithfully reproduces the pre‑shutdown workspace, including editor layout, working directory, and variable contents, so that work can resume without ambiguity. Constraint: Spyder’s automatic session restore reinstates editor tabs, working directory and interface layout, but after a kernel restart the Variable
Spyder 5 replaced the legacy Jedi-based completion engine with a Language Server Protocol client, defaulting to python-lsp-server (pylsp) together with pyflakes, pycodestyle, mccabe and rope plugins. The "Completion and linting" preferences page allows enabling or disabling the LSP client, choosing a language server executable, and adjusting completion trigg
Spyder utilizes a client-server architecture where the GUI communicates with a remote Python kernel via ZeroMQ (ZMQ) messaging sockets. During long-running sessions involving high-frequency data updates to the console or complex plotting, the message buffer can experience exhaustion. There is an uncertainty regarding how Spyder handles large de-serialized ob
In current Spyder releases, a failed upgrade can leave the plugin registry in an inconsistent state, preventing the IDE from launching with a ModuleNotFoundError for an upgraded plugin. The goal is to decide whether Spyder should automatically back up the user configuration directory before applying an upgrade. Spyder offers manual recovery through "Restore
Context Spyder's Variable Explorer displays a compact summary (shape, dtype, short preview) for large pandas DataFrames and NumPy arrays instead of full contents. The DataFrame and Array viewers then render rows lazily as the user scrolls, which keeps the IDE responsive. Unresolved behavior No user-facing preference controls the size threshold at which the V
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
pandas