python(x,y) has been discontinued. Similar apps include MATLAB. It's paid, but GNU Octave and SageMath are free. Other options are Mathematica, GeoGebra, Anaconda and SciPy. You're spoiled for choice with Numerical Computation Software like python(x,y): we list more than 50 alternatives for Windows, Mac, Linux, the web and iPad.
High-level environment supporting numerical computation, visualization, matrix operations, algorithm development, custom interfaces, integration with external languages, symbolic and model-based simulation, and specialized toolboxes for fields like engineering.
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Octave is a computer program for performing numerical computations which is mostly compatible with MATLAB . It is part of the GNU Project. It is free software under the terms of the GNU General Public License.
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Definitive technical computing system spanning machine learning and neural networks, data science, visualizations and much more.
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SageMath is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
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GeoGebra is free and multi-platform dynamic mathematics software for learning and teaching. It has received several educational software awards in Europe and the USA.
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Completely free enterprise-ready Python distribution for large-scale data processing, predictive analytics, and scientific computing. Includes 100+ of the most popular Python packages for science, math, engineering, data analysis. Cross platform on Linux, Windows, Mac.
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SciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
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Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an...
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
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Scilab is free and open source software for numerical computation providing a powerful computing environment for engineering and scientific applications. Scilab includes hundreds of mathematical functions.
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Gnuplot is a portable command-line driven interactive data and function plotting utility. It was originally intended as to allow scientists and students to visualize mathematical functions and data. It does this job pretty well, but has grown to support many non-interactive...
Data analysis and graphing software for scientists and engineers. It provides You with dozens of functionalities and options. The plotting engine is very effective and the plots are of high quality. A lot of statistical functionalities make data analysis very easy even for those...
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