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这里有一些宝石 - 处于不同的开发和完整性状态 - 有助于提高 Ruby 的“数学”能力:
numo-linalg
Ruby/Numo::NArray 线性代数库nmatrix
通过 SciRuby 用于 Ruby 的密集和稀疏线性代数库rb-gsl
GNU 科学库的 Ruby 接口daru
Ruby 中的数据分析mathn
已弃用的扩展数学运算的库数学
将数学方程转换为 SVG、PNG 或 MathML不幸的是,Ruby 作为一种语言主要被使用用于快速 Web 应用程序原型设计和开发,而不是科学分析或数据科学。因此,与 Python 等其他语言相比,它在这方面的功能仍然有所欠缺。
Here are a few gems - in different states of development and completeness - that help increase the "mathing" power of Ruby:
numo-linalg
Linear Algebra Library for Ruby/Numo::NArraynmatrix
Dense and sparse linear algebra library for Ruby via SciRubyrb-gsl
Ruby interface to the GNU Scientific Librarydaru
Data Analysis in Rubymathn
Deprecated library that extends math operationsmathematical
Convert mathematical equations to SVGs, PNGs, or MathMLUnfortunately, Ruby as a language has mostly been used for rapid web application prototyping and development and NOT scientific analysis or data science. Thus, it's capabilities in this area - when compared to other languages such as a Python - are still somewhat lacking.