Alternatives and similar repositories for Labs

Users that are interested in Labs are comparing it to the libraries listed below

• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆53Updated 10 months ago
• QuantEcon / QuantEcon.cheatsheet
  A cheatsheet for Python and Julia
  ☆154Updated last year
• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆538Updated 2 months ago
• drvinceknight / Python-Mathematics-Handbook
  A set of notebooks for an introduction to Python for Mathematicians.
  ☆171Updated 3 years ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆337Updated 4 years ago
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆464Updated 3 years ago
• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆772Updated 5 months ago
• patrickwalls / mathematicalpython
  Introduction to Mathematical Computing with Python and Jupyter
  ☆541Updated 2 years ago
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆165Updated last month
• mitmath / 6S083
  Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
  ☆508Updated 2 years ago
• cliburn / sta-663-2020
  ☆45Updated 5 years ago
• jasongrout / multivariable-calculus
  A free open-source textbook for Multivariable Calculus that emphasizes differentials and linear algebra
  ☆38Updated 14 years ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆114Updated 2 months ago
• cliburn / Computational-statistics-with-Python
  Resources for STA 633 class
  ☆169Updated 8 years ago
• UCIDataScienceInitiative / IntroToJulia
  A Deep Introduction to Julia for Data Science and Scientific Computing
  ☆253Updated 3 years ago
• mathematical-tours / mathematical-tours.github.io
  Site web of the Mathematical Tours
  ☆504Updated 6 months ago
• fangohr / introduction-to-python-for-computational-science-and-engineering
  Book: Introduction to Python for Computational Science and Engineering
  ☆380Updated last year
• mitmath / 18S096
  18.S096 three-week course at MIT
  ☆263Updated 2 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆133Updated last year
• sisl / OptimizationCourse
  ☆74Updated 7 years ago
• sisl / tufte_algorithms_book
  A template for textbooks in the same style as Algorithms for Optimization
  ☆367Updated last year
• juanklopper / JuliaCourseNotebooks
  Jupyter notebooks for the Julia Scientific Programming course on Coursera
  ☆234Updated 6 years ago
• Naereen / notebooks
  A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc
  ☆128Updated 3 months ago
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆144Updated last year
• QuantEcon / lecture-python-programming.notebooks
  Notebooks for https://python-programming.quantecon.org
  ☆60Updated 2 weeks ago
• bblais / Statistical-Inference-for-Everyone
  Introductory Statistical Inference
  ☆145Updated last year
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• juanklopper / Discrete-Mathematics
  Jupyter notebooks for the Klopper lectures on discrete mathematics
  ☆35Updated 8 years ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆153Updated last year
• jirilebl / diffyqs
  Notes on Diffy Qs, a textbook for differential equations
  ☆69Updated last week