And according to team members, Anaconda has “more efficient performance optimization.” However, the Anaconda Python interpreter is fully compatible with CPython. This is not a standard assembly of CPython, but a custom assembly created by Anaconda Inc. Using Anaconda to create analytic models in Python and R, you can test them on simple data in Visual Studio Code before embedding them in the Azure ML pipeline.Īnaconda Python interpreter includes by default the latest version of the Python interpreter. Indeed, to get the most out of the machine learning platform, you should be able to create and test your statistical models before deploying them on a large scale. At the same time, if you do not need such a tool in a productive database, you can not install it, leaving the combination of SQL Server / Anaconda for the development environment.Īzure also has access to Anaconda as part of Azure Machine Learning. Implementing an interactive analytics tool at the heart of the database is a smart and informed move. Microsoft, in turn, uses Anaconda as a data analysis tool in SQL Server. This gives Anaconda users a powerful IDE to make the most of Python packages.Īnaconda users can then easily install and run VS Code from the Anaconda Navigator main screen. When installing Anaconda for the first time, users will have the opportunity to install Visual Studio Code, including the Python extension for Visual Studio Code. It can also be used as a general replacement for the standard Python distribution if the differences between them are not significant to you.
It includes a GUI, many scientifically-oriented work environments and tools to simplify the processing of data. Since Python is an interpreted language with REPL support, you can test code snippets from the command line, work with data sources before running more complex scripts.Īnaconda is an assembly designed for developers who use Python to analyze data.
Not so long ago, the inclusion of Visual Studio Code in the Anaconda distribution was announced, which is undoubtedly a big step in the development of open source data analysis tools.Īnaconda, founded by Travis Oliphant, author of NumPy, has become an integral tool in the field of working with data, which has in its arsenal a large number of libraries and plugins that cover most analytical cases.
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