For April’s update, we take a look at the latest PowerBI updates including how to use Python in PowerBI. There’s also news on the Python package Kite which you can use to autocomplete your coding, and lastly info on some free resourcing on Graph Algorithms from Neo4j ( https://neo4j.com/graph-algorithms-book/)
We discuss the new Extract Transform and Load (ETL) tool from McKinsey, how IBM are using machine learning to create Wimbledon tennis highlights, and the new Pandas profiling python package.
This month we discuss the new command line app in Windows, a paper released from Samsung AI and how to improve your pandas coding in Python.
This month, James takes us through the March PowerBI updates, gives an overview of what came out of the Neo4j graph tour in London, and continues to look at deep learning to classify RAG ratings.
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