python(x,y) is described as 'Python(x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and ' and is a numerical computation software in the education & reference category. There are more than 50 alternatives to python(x,y) for a variety of platforms, including Windows, Mac, Linux, Web-based and BSD apps. The best python(x,y) alternative is GNU Octave, which is both free and Open Source. Other great apps like python(x,y) are MATLAB, Mathematica, SageMath and SciPy.
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...
wxMaxima is a document based interface for the computer algebra system Maxima. wxMaxima provides menus and dialogs for many common maxima commands, autocompletion, inline plots and simple animations.
The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC, without installing anything!.
The Python Package Index (PyPI) is a repository of software for the Python programming language. PyPI helps you find and install software developed and shared by the Python community. Package authors use PyPI to distribute their software.
Polars is a highly performant DataFrame library for manipulating structured data. The core is written in Rust, but the library is also available in Python. Its key features are:
SciDAVis is a free application for Scientific Data Analysis and Visualization. It's an application aimed at data analysis and
Miniconda is a free minimal installer for conda. It is a small bootstrap version of Anaconda that includes only conda, Python, the packages they both depend on, and a small number of other useful packages (like pip, zlib, and a few others).
CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.
SymPy is a Python library for symbolic computation. The stated goals of the library are to become a full-featured computer algebra system and to keep a simple code base to promote extensibility and comprehensibility.
The Enthought Python Distribution provides scientists with a comprehensive set of tools to perform rigorous data analysis and visualization. Python, distinguished by its flexibility, coherence, and ease-of-use, is rapidly becoming the programming language of choice for...
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
A software package designed to solve computationally hard problems in algebra, number theory, geometry and combinatorics.
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