You can also find full documentation for the Python tools at Working with Python in Visual Studio.) (For more on the Data science and analytical applications workload, see Shahrokh Mortazavi’s post, Build Intelligent Apps Faster with Visual Studio. Let’s take a deeper look into the Python development workload in Visual Studio 2017. In addition, for the first time we’ve localized Python tools into the same 14 languages as Visual Studio, making for a seamless experience across the entire IDE. Support for code cells and a Jupyter Notebook-like Ctrl+Enter cell execution experience.Python native development tools to write high-performance C++ extensions for Python.Azure cloud service tools, including template to augment existing apps and create new ones that use the latest Azure services ranging from SQL Databases to Data Lake.Cookiecutter template support, so you can create projects from dozens of templates hosted on GitHub with a few clicks.Just select the Python development or Data science and analytical applications workloads, both of which let you select specific interpreters like Anaconda and also provide a variety of productivity features: Installation of Python tools, interpreters, runtimes, and numerous other features are directly integrated into the Visual Studio 2017 installer. We’re delighted to announce that our rich Python toolchain is fully available in Visual Studio 2017.
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