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Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
book

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

by Robert Johansson
September 2024
Intermediate to advanced content levelIntermediate to advanced
501 pages
17h 6m
English
Apress
Content preview from Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
R. JohanssonNumerical Pythonhttps://doi.org/10.1007/979-8-8688-0413-7_18

18. Data Input and Output

Robert Johansson1  
(1)
Urayasu-shi, Chiba, Japan
 

In nearly all scientific computing and data analysis applications, there is a need for data input and output. This includes loading datasets and persistently storing results to files on disk or databases. Getting data in and out of programs is a critical step in the computational workflow. There are many standardized formats for storing structured and unstructured data. The benefits of using standardized formats are obvious: You can use existing libraries for reading and writing data, saving time and effort. In ...

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ISBN: 9798868804137Purchase LinkPublisher Website