![]() Last but not least, the Data Viewer now supports slicing data, which allows you to view any 2D slice of your higher dimensional data. You can continue to click on any column heading to sort its data ascending/descending. You can now find the filter box at the heading of each column, and you can click into individual cells in the Data Viewer to copy out their contents. Thirdly, we’ve given the entire Data Viewer a visual update to make it more aesthetically pleasing. Secondly, the Data Viewer now supports viewing both PyTorch and TensorFlow Tensor data types! If you’ve made some changes or transformations to your data, rather than having to close and reopen the Data Viewer to view the changes, you can now click the refresh button in the top corner of the Data Viewer to grab the most up-to-date data. In case you missed it in the latest release of the Jupyter extension, we’ve made many improvements to our Data Viewer.įirstly, we have added the ability to refresh the Data Viewer. With these changes, Pylance users using PyTorch should update to PyTorch 1.8.1 to get dramatically improved completions for submodules (e.g. We’re excited to announce that our team spent some time in the last month contributing to the PyTorch project to update how submodules are exported in the top-level torch module. Improved auto-completions for PyTorch 1.8.1 with Pylance We look forward to bringing this experience to the stable version of the Python extension, so if you try this out and see any issues with it, please file a bug report. If you’re using Poetry for the first time, make sure you follow the setup instructions from Poetry’s documentation. Once the insiders build finishes downloading, you will be prompted to reload the window. If you want to try this out, you can join our Insiders program by opening the command palette ( View > Command Palette…) and run the “Python: Switch to Insiders Weekly Channel”. The Python extension will also use Poetry when installing packages on your behalf: Once you select it, you can create a new terminal to have that environment automatically activated. If you’re using our Insiders build, you will be able select interpreters from environments created using Poetry, as they’re now automatically discovered by the Python extension. ![]() Poetry is a Python package and dependency manager that makes it easy to build, publish your projects, as well as and check the state of its dependencies. We’re excited to announce our preview support for Poetry environments in Visual Studio Code, the most requested feature in our GitHub repository! You can check the full list of fixes and improvements in our changelog. This release includes a preview of support for Poetry environments, improved completions for PyTorch 1.8.1 when using Pylance, as well enhancements to the Data Viewer. You can learn more about Python support in Visual Studio Code in the documentation. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. We are pleased to announce that the April 2021 release of the Python Extension for Visual Studio Code is now available. ![]()
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