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PinnedInTDS ArchivebyPhilip Wilkinson, Ph.D.·May 24, 2022Eight Data Structures Every Data Scientist Should KnowFrom Basic Data Structures to Abstract Data Types in Python
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PinnedInTDS ArchivebyPhilip Wilkinson, Ph.D.·Oct 29, 2020An introduction to Object-Oriented Programming for Data ScientistsThe basics of OOP for those who may not have come across the idea before or are wanting to know moreA response icon4A response icon4
PinnedInTDS ArchivebyPhilip Wilkinson, Ph.D.·Nov 16, 2020Introduction to decision tree classifiers from scikit-learn
InPython in Plain EnglishbyPhilip Wilkinson, Ph.D.·Aug 17, 2023Demystifying Context Managers in PythonA short technical guide on how and when to use themA response icon1A response icon1
InTDS ArchivebyPhilip Wilkinson, Ph.D.·Jul 18, 2023*args, **kwargs, and Everything in BetweenThe fundamentals of function parameters and arguments in Python
InTDS ArchivebyPhilip Wilkinson, Ph.D.·Jul 4, 2023Git Tags: What Are They and How To Use ThemWhat are they used for, creating a local tag, how they are seen and how to delete themA response icon1A response icon1
InTDS ArchivebyPhilip Wilkinson, Ph.D.·Mar 21, 2023Automated Python Application Testing Using GitHub ActionsHow to run automatic testing on the push command
Indunnhumby Science blogbyPhilip Wilkinson, Ph.D.·Mar 13, 2023Deciding Where to ShopCan Newton’s idea of gravity be used to estimate grocery store revenue?