In the broad sense, a scientific programming language is one that is applied to numerical modeling, simulation, data analysis, and visualization [3] conversely, the strict sense emphasizes languages that provide built‐in. Python flatten from module lightkurve Lightkurve is the official library for analysis of kepler & tess telescope data Scipy is a robust library widely used for scientific computing in the academic community. [2] it includes algorithms for segmentation, geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection, and more
[3] it is designed to interoperate with the python numerical and scientific libraries numpy and scipy. [25][26][27] scipy implements hierarchical clustering in python, including the efficient slink algorithm Weka includes hierarchical cluster analysis. Moreover, complementary python packages are available Although matlab can perform sparse matrix operations, numpy alone cannot perform such operations and requires the use of the scipy.sparse library. In python, many implementations exist
