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Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
Seaborn Networks is a developer, owner, and operator of submarine communications cables. Seaborn is the owner and operator of the Seabras-1 "submarine communications cable" between Brazil and the United States. Seabras-1 is fully operational (2017) and provides the first direct route between São Paulo, Brazil, and the United States.
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
Symzonia; Voyage of Discovery is a piece of fictional travel literature published on November 2, 1820, by Jonathan Seymour. It was written under the pseudonym Captain Adam Seaborn and its true authorship is uncertain, although stylometric analysis performed by Paul Collins suggests that the author was Nathaniel Ames.
Seaborn's personality is similar in some respects to Walter Cronkite, though the real Cronkite is mentioned at times and seen in archive footage. The use of a fictional character also allows for dramatic conflict to be created more easily in episode 8, "We Interrupt This Program," with another fictional reporter.
An Andrews curve for the Iris data set. In data visualization, an Andrews plot or Andrews curve is a way to visualize structure in high-dimensional data. It is basically a rolled-down, non-integer version of the Kent–Kiviat radar m chart, or a smoothed version of a parallel coordinate plot.
Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.