You can simply set it to jump to the line you wish to execute." "So if you want to execute pieces of code that the debugger had already passed through, you don't need to restart the debug session and wait for the execution to reach that point again. This will make the debugger continue its execution from that selected line onward. "When you start a debug session and the debugger hits a breakpoint, you can right click on any part of your code – before or after the point where the breakpoint was hit, and select “Jump to Cursor”. "Although it's not part of the new improvements included in this release, the Python debugger supports a feature that doesn't seem to be widely known: Jump to Cursor," she said. Jump To Cursor in Animated Action (source: Microsoft). They are now only displayed if an interpreter is selected."Īs noted in the changelog, the team also closed 66 issues, including two associated with the improvements mentioned above. "In this release, we scaled back the notification prompts for tools installation. "Previously, the installation would fail because no interpreter was selected in the workspace," de Melo e Abud said. 11, the company also addressed developer feedback about many notifications being thrown when they opened a workspace already configured for VS Code without having an interpreter selected. In the new Python extension update announced Feb. NET team just recently detailed improvements to the Jupyter-Notebooks-in-.NET-Core experience, what Microsoft calls. Jupyter Notebooks have been getting a lot of attention in the Microsoft-centric development world lately, as the company's. "First cell execution is also faster as the Jupyter server now spins up in the background automatically when notebooks are opened," she said. Luciana de Melo e Abud, program manager for the tool, reported 2-3X improvements in speed when opening the Jupyter Notebook editor and in starting up the companion Jupyter server. The team improved the performance of the Notebook editor in the January release and continued that effort to make it even faster in the new update. Faster start-up times for the Jupyter Notebook editor and associated server highlight the February update to the wildly popular Python Extension for Visual Studio Code.
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