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

© Robert Johansson 2019

Robert JohanssonNumerical Python https://doi.org/10.1007/978-1-4842-4246-9_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 to load datasets and to persistently store results to files on disk or to databases. Getting data in and out of programs is consequently a key 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 yourself both time and effort. In the course of working with scientific ...