It is a symbolic math library, and is also used for machine learning applications such as neural networks.
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TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks. 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 libraries NumPy and SciPy. Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python programming language.
An extensive list of descriptive statistics, statistical tests, plotting functions, and result statistics are available for different types of data and each estimator. Statsmodels is a Python package that allows users to explore data, estimate statistical models, and perform statistical tests. The name is derived from the term “panel data”, an econometrics term for data sets that include observations over multiple time periods for the same individuals. It is free software released under the three-clause BSD license. In particular, it offers data structures and operations for manipulating numerical tables and time series. Pandas is a software library written for the Python programming language for data manipulation and analysis. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering. SciPy is a free and open-source Python library used for scientific computing and technical computing.
NumPy 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. Python gained a lot of traction in the world of data science and now has a host on fantastic libraries that support your requirements: Library
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Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. Created by Guido van Rossum and first released in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. Python is an interpreted, high-level, general-purpose programming language.
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