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After we announced the ability for U-SQL to massively distributed Python code in the Azure Data Lake Analytics service, a lot of developers have been asking us when the the Python support will work using U-SQL Local Execution. In this post, we'll describe how to make that happen.
To set expectations, what we will describe below is not officially supported - we do intend to enable Python extensions in Local Execution as part of the product - but until then these instructions are meant for those brave souls who are willing to try something at the cutting edge.
STEP 1: Install the U-SQL Advanced Analytics extensions in your Data Lake Analytics Account
STEP 2: Examine the output of the installation
STEP 3: Setting up your ADLTools4VS local "DataRoot"
STEP 4: Install the U-QL Advanced Analytics assemblies into the Local Execution U-SQL Catalog
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