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Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...
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 ...
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]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.
Fortran, C++ OpenEpi: A. Dean, K. Sullivan, M. Soe 22 September 2014 () Yes GNU GPL: GUI: JavaScript, HTML Orange: Bioinformatics Laboratory, Faculty of Computer and Information Science, University of Ljubljana: 10 January 2016 () Yes GNU GPL: GUI/Python Python, Cython Python Origin: OriginLab 3.23.0 (5 September 2019 ()) No
However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values. For example, if s is a Series, s['a'] will return the data point at index a. Unlike dictionary keys, index values are ...
The GNU Scientific Library (or GSL) is a software library for numerical computations in applied mathematics and science.The GSL is written in C; wrappers are available for other programming languages.
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]
Julia has ccall keyword to call C (and other languages, e.g., Fortran); [15] while packages, providing similar no-boilerplate support, are available for some languages e.g., for Python [16] (to e.g. provide OO support and GC support), Java (and supports other JDK-languages, such as Scala) and R. Interactive use with C++ is also possible with ...