Search Results for "maths teaching software"

The glVertex library emulates the legacy OpenGL API, which has been deprecated in OpenGL core profiles. It is also a convenience wrapper around GLSL shaders, VBOs and FBOs.

...The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional course structures restrictive and want a flexible, self-paced path through CS, with a focus on building depth and breadth rather than shortcut exam skills. The repository provides a roadmap, references, teaching materials, and sometimes the author’s own project examples, offering both guidance and community support. ...

...The reading list focuses on applied topics that the instructor considered important but often underrepresented in traditional data science curricula. Subjects include data collection, collaboration, software engineering, DevOps, teaching, reproducibility, ethics, careers, industry practice, and workflow design. Students also wrote short weekly responses intended to connect readings with their own knowledge and experience. The repository preserves course materials, discussion resources, and student-created annotated bibliographies. It functions as a curated applied-data-science reading archive rather than a programming library.

Linear Program Solver (Solvexo) is an optimization package intended for solving linear programming problems. The main features of the Solvexo are: · Solvexo solver is based on the efficient implementation of the simplex method (one or two phases); · Solvexo provides not only an answer, but a detailed solution process as a sequence of simplex matrices, so you can use it in studying (teaching) linear programming. · Solvexo provides a solution with the graphic method for problems with...

Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming. ● LiPS gives sensitivity analysis procedures, which allow us to...

We are trying to create a very complete physics teaching program. So, we would be pleased if you could suggest any improvement or create any module for us. To use any of these sources you need python 2.2, pygame and scipy.