patrickwalls / mathematicalpython
Introduction to Mathematical Computing with Python and Jupyter
☆538Updated 2 years ago
Alternatives and similar repositories for mathematicalpython
Users that are interested in mathematicalpython are comparing it to the libraries listed below
Sorting:
- Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic☆507Updated 2 years ago
- A set of notebooks for an introduction to Python for Mathematicians.☆171Updated 3 years ago
- Using computational thinking to get deep insights on the foundations of linear algebra☆113Updated 3 weeks ago
- Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar☆521Updated 9 months ago
- Repo for the book Problem Solving with Python 3.7 Edition by Peter D. Kazarinoff, PhD. The newest edition of Problem Solving with Python …☆176Updated 4 years ago
- Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_bui…☆189Updated last month
- Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods …☆379Updated 3 years ago
- 18.335 - Introduction to Numerical Methods course☆527Updated last week
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆334Updated 4 years ago
- Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/☆52Updated 8 months ago
- Learn the language basics in this 10-part course.☆445Updated last year
- Learn Julia via interactive tutorials!☆1,305Updated 10 months ago
- A course for people who are hesitant but curious about learning to write code in Julia.☆179Updated 2 years ago
- Jupyter notebooks for the Julia Scientific Programming course on Coursera☆233Updated 5 years ago
- ☆1,091Updated 2 years ago
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆734Updated last year
- ☆143Updated last year
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆195Updated 4 years ago
- Labs for the Foundations of Applied Mathematics curriculum.☆219Updated 5 months ago
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆763Updated 3 months ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆272Updated 4 years ago
- Repository of courses taught by the Python Club for Physicists☆80Updated 4 years ago
- Julia Jupyter/Colab Notebooks☆159Updated 2 years ago
- Source files for https://python.quantecon.org☆63Updated 3 years ago
- Probability - The Science of Uncertainty and Data☆111Updated 6 years ago
- Port of the book Think Python to the Julia programming language☆556Updated 9 months ago
- Code for "Machine Learning for Physicists" lecture series by Florian Marquardt☆299Updated last week
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆883Updated 3 years ago
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,227Updated 3 years ago
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)☆1,902Updated last week