The Best 123 Mathematics Libraries

123 Components & Libraries

Sortby

Mathematics Repositories

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

A collection of Nayuki's program code to solve over 200 Project Euler math problems. Every solved problem has a program written in Java and usually Python. Some solutions also have Mathematica and Ha…

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

3D mathematical functions using NumPy

Provides 3D mathematical functions using the power of NumPy. Maintain a rotation (quaternion) and translation (vector) and convert to a matrix This is a long winded example to demonstrate various fea…

This repository used to be the user-facing mirror of the Sage source tree. As Sage development migrated on 2023-02-01 from https://trac.sagemath.org/ to our new repository on GitHub, https://github.com/sagemath/sage, we have renamed and archived this repository.

Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/, though this may change soon! (see https://trac.sagemath.org/ticket/30363)

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

After some recent success of Bayesian methods in machine-learning competitions, I decided to investigate the subject again. Even with my mathematical background, it took me three straight-days of rea…

Finite volume discretization tools for Python.

Creating finite volume equation systems with ease. pyfvm provides everything that is needed for setting up finite volume equation systems.The user needs to specify the finite volume formulation in a …

Finite volume discretization tools for Python.

Creating finite volume equation systems with ease. pyfvm provides everything that is needed for setting up finite volume equation systems. The user needs to specify the finite volume formulation in a…

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

The ROOT system provides a set of modules with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specializ…

:spider_web: Gmsh for Python

Codes: With you can access Gmsh's native file writer. pygmsh can optimize existing meshes, too. You can also use the command-line utility To run the pygmsh unit tests, check out this repository and …

:spider_web: Gmsh for Python

Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric

You can also get the associated minimum-cost flow: You can also calculate the EMD directly from two arrays of observations:

A Python class that can automatically generate mathematics exams, with solution keys, using Sympy and LaTeX.

A Python class that can automatically generate mathematics worksheets/exams, with solution keys, using Sympy and LaTeX. Meant for instructors, tutors, and student study groups, etc. Dependencies avai…

A Python library for visualizing algorithms for solving mathematical optimization problems.

Graphics for Understanding Mathematical Programming in Python (GrUMPy) is a Python library for visualizing various aspects of mathematical programming, including visualizations of the branch-and proc…

Lcapy is a Python package for symbolic linear circuit analysis and signal processing. It uses SymPy for symbolic mathematics.

Lcapy is a Python package for linear circuit analysis. It uses SymPy for symbolic mathematics. Lcapy can symbolically analyse circuits described with netlists or by series/parallel combinations of c…

Python interface for igraph

igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs. This repository contains the source code to t…

Code for A Programmer's Introduction to Mathematics

To install the requirements and run the examples, using pip and virtualenv (Python's standard packaging tools): To run the test suite: To build and run the code in the repository with docker, run

A research tool for the Iterated Prisoner's Dilemma

A Python library with the following principles and goals: With Axelrod you: The library is tested on Python versions 3.8, 3.9, and 3.10. The simplest way to install is: To install from source: The fo…

A Python CAS library

CoCalc: Collaborative Calculation in the Cloud

The copyright of CoCalc is owned by SageMath, Inc., and the source code here is released under the GNU Affero General Public License version 3+ subject to the "Commons Clause" License Condition v1.0.…

An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.

The recommended way to fully experience the book is by running the Jupyter notebooks: You can test your installation by running

Polyglot solutions for www.projecteuler.net mathematical challenges

Operator Discretization Library https://odlgroup.github.io/odl/

Installing ODL should be as easy as or ODL is compatible with Python 2/3 and all major platforms (GNU/Linux / Mac / Windows). This is an incomplete list of articles and projects using ODL. If you wan…

:spider_web: input/output for many mesh formats

There are various mesh formats available for representing unstructured meshes. meshio can read and write all of the following and smoothly converts between them: Install with one of with any of the …

A Python library for mathematical optimization

copt is an optimization library for Python. Its goal is to provide a high quality implementation of classical optimization algorithms under a consistent API. Alternatively, you can install the latest…

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

在本系列中，你可能会接触到数据挖掘、机器学习、深度学习、自然语言处理、人工智能等很多的概念。值得说明的是，鉴于很多的算法实现是以文字结合代码介绍为最佳，因此工具实践篇中的大部分内容是以 Juypter Notebook 的形式放在该仓库中，并且在 Colab 中进行浏览、编辑与实验。 1956 年，几个计算机科学家相聚在达特茅斯会议，提出了“人工智能”的概念，梦想着用当时刚刚出现的计算机来构造…

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard Feynman Math literacy, including proficiency in Linear Algebra and Statistics,is…

:notebook: A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

You can also launch an interactive environment to play with the code by yourself, using one of these platforms: And more will come... soon! 🚅 You can also launch an interactive environment to play wi…