certik / scipy-2013-tutorialLinks
SymPy tutorial for SciPy 2013
☆40Updated 12 years ago
Alternatives and similar repositories for scipy-2013-tutorial
Users that are interested in scipy-2013-tutorial are comparing it to the libraries listed below
Sorting:
- Source code for 'Numerical Python' by Robert Johansson☆63Updated 8 years ago
- SymPy code generation tutorial at SciPy 2017☆66Updated 7 years ago
- SymPy tutorial materials for SciPy 2016☆41Updated 9 years ago
- Additional scientific computing functionality in Python - extensions to NumPy/SciPy++☆64Updated 5 years ago
- ☆177Updated last year
- My IPython Notebooks - I publish many of these as blog posts here http://georg.io/☆25Updated 4 years ago
- Jupyter notebooks on differential equations and how to solve them using Python.☆61Updated 9 years ago
- ☆145Updated 4 years ago
- Resources for the book "Programming for Computations" by S. Linge and H. P. Langtangen☆125Updated 3 years ago
- ☆74Updated 6 years ago
- Website for Effective Computation in Physics☆35Updated 5 years ago
- Numba tutorial materials for Scipy 2016☆144Updated 8 years ago
- Webpages hosting for the Scientific Python Lectures☆80Updated 2 years ago
- Slides for quantstack talks☆81Updated 2 years ago
- JupyterCon 2018 JupyterLab tutorial☆21Updated 7 years ago
- [Outdated. Please use https://github.com/numba/numba-examples] Examples of NumbaPro in use.☆172Updated 3 years ago
- A tutorial that shows the powerful capabilities of the computer algebra system SymPy for solving problems of high school math, calculus, …☆29Updated last year
- Examples of exercises that accompany Effective Computation in Physics☆209Updated 6 years ago
- ☆67Updated 2 years ago
- Publications about Scipy☆28Updated 3 years ago
- A set of notebooks for an introduction to Python for Mathematicians.☆174Updated 3 years ago
- An example syllabus and lesson materials for a seminars on effective computation in the physical sciences.☆36Updated 10 years ago
- Jupyter notebooks and other materials developed for the Columbia course APMA 4300☆292Updated 3 years ago
- Using computational thinking to get deep insights on the foundations of linear algebra☆115Updated 7 months ago
- Book: Introduction to Python for Computational Science and Engineering☆383Updated last year
- Lecture materials☆61Updated 7 years ago
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 9 months ago
- Code for Allen Downey's book Think Complexity, published by O'Reilly Media.☆116Updated last year
- Program files from MATLAB Guide, Third Edition☆29Updated 8 years ago
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 9 months ago