Working with NumPy Arrays

NumPy, or Numerical Python, is a Python-based library for mathematical computations and processing arrays. Python does not support data structures in more than one dimension, with containers like lists, tuples, and dictionaries being unidimensional. The inbuilt data types and containers in Python ca...

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Podrobná bibliografia
Vydané v:	A Python Data Analyst's Toolkit s. 1
Hlavný autor:	Rajagopalan, Gayathri
Médium:	Kapitola
Jazyk:	English
Vydavateľské údaje:	United States Apress, an imprint of Springer Nature 2021 Apress L. P Apress
Predmet:	Decision Making & Business Analysis Engineering Management & Leadership General Engineering & Project Administration General References
ISBN:	9781484263983, 1484263987
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Shrnutí:	NumPy, or Numerical Python, is a Python-based library for mathematical computations and processing arrays. Python does not support data structures in more than one dimension, with containers like lists, tuples, and dictionaries being unidimensional. The inbuilt data types and containers in Python cannot be restructured into more than one dimension, and also do not lend themselves to complex computations. These drawbacks are limitations for some of the tasks involved while analyzing data and building models, which makes arrays a vital data structure.
ISBN:	9781484263983 1484263987
DOI:	10.1007/978-1-4842-6399-0_5