83 Components & Libraries
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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…
"Creating a Viable Open Source Alternative to Magma, Maple, Mathematica, and MATLAB" Copyright (C) 2005-2022 The Sage Development Team Sage attempts to support all major Linux distributions, recent v…
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 …
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 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…
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 …
You can also get the associated minimum-cost flow: You can also calculate the EMD directly from two arrays of observations:
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…
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 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…
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.…
The recommended way to fully experience the book is by running the Jupyter notebooks: You can test your installation by running
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…
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 …
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…
CGAL generates 2D meshes from linear constraints. You can write the mesh with pygalmesh provides out-of-the-box support for balls, cuboids, ellipsoids, tori, cones, cylinders, and tetrahedra. Try fo…
Nadeau, Nicholas A., Ilian A. Bonev, and Ahmed Joubair. "Impedance Control Self-Calibration of a Collaborative Robot Using Kinematic Coupling." Robotics 8.2 (2019): 33.
The Python Toolbox for Robotics Nadeau, Nicholas A., Ilian A. Bonev, and Ahmed Joubair. "Impedance Control Self-Calibration of a Collaborative Robot Using Kinematic Coupling." Robotics 8.2 (2019): 33.
My implementation of some popular data structures and algorithms and interview questions relating to them in Python 3 and C++ Contains implementation of Graph data structure and some common questions…
Nashpy is: To install Nashpy on Fedora, use: Create bi matrix games by passing two 2 dimensional arrays/lists: Clone the repository and create a virtual environment: Make modifications. To run the te…
This repository contains a collection of Python labs that go in tandem with the textbooks. These expose students to applications and numerical computation and reinforce the theoretical ideas taught i…
Compute all sorts of interesting points, areas, and volumes in simplex (triangle, tetrahedral, n-simplex) meshes of any dimension, with a focus on efficiency. Useful in many contexts, e.g., finite-e…
Create the conda environment from the file: Source the conda environment: Run the following command: It is possible to test that the notebooks run:
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