Merging and Joining data sets are key activities of any data scientist or analyst. In this tutorial, we explore the process of combining datasets based on common columns quickly and easily with the Python Pandas library and it’s fast merge() functionality. Finally conquer merging and become a master with this 2-part tutorial.

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Pandas Data Selection There are multiple ways to select and index rows and columns from Pandas DataFrames. I find tutorials online focusing on advanced selections of row and column choices a little complex for my requirements. Selection Options There’s three main options to achieve the selection and indexing activities in Pandas, which can be confusing. The three selection cases and […]

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Pandas – Python Data Analysis Library I’ve recently started using Python’s excellent Pandas library as a data analysis tool, and, while finding the transition from R’s excellent data.table library frustrating at times, I’m finding my way around and finding most things work quite well. One aspect that I’ve recently been exploring is the task of […]

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The Web Summit, Europes largest technology-industry conference was held in Dublin this week. An annual event since 2010, the Web Summit attracted over ten thousand visitors from over 90 countries. The Web Summit puts Ireland on the international startup and internet scene. With speakers like Elon Musk (founder of Paypal, SpaceX, and Tesla) and representatives from […]

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