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How to use pandas the wrong way

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How to use pandas the wrong way
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How to use pandas the wrong way [EuroPython 2017 - Talk - 2017-07-12 - Anfiteatro 1] [Rimini, Italy] UPDATE: slides and materials can be found at http://pietrobattiston.it/python:pycon#europython_rimini_july_2017 The pandas library represents a very efficient and convenient tool for data manipulation, but sometimes hides unexpected pitfalls which can arise in various and sometimes unintelligible ways. By briefly referring to some aspects of the implementation, I will review specific situations in which a change of approach can make code based on pandas more robust, or more performant. Some examples: inefficient indexing multiple dtypes and efficiency implicit type casting HDF5 storage overhead GroupBy.apply()... when you don't actually need i
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Mixed realityArray data structureData typeFrame problemMultiplication signType theoryDifferent (Kate Ryan album)Loop (music)Lecture/Conference
Functional (mathematics)Loop (music)Library (computing)Multiplication signDampingExtension (kinesiology)Group actionGoodness of fitCASE <Informatik>Casting (performing arts)Operator (mathematics)Lecture/Conference
INTEGRALUser interfaceResultantWeb 2.0Lecture/Conference
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Source codeInformationContext awarenessTerm (mathematics)Video gameWebsiteSingle-precision floating-point formatCodeLaptopEstimatorLibrary (computing)BitAxiom of choiceLecture/Conference
Transcript: English(auto-generated)