gforsyth / numba_tutorial_scipy2017Links
☆145Updated 4 years ago
Alternatives and similar repositories for numba_tutorial_scipy2017
Users that are interested in numba_tutorial_scipy2017 are comparing it to the libraries listed below
Sorting:
- Numba tutorial materials for Scipy 2016☆144Updated 8 years ago
- SymPy code generation tutorial at SciPy 2017☆66Updated 7 years ago
- Numba tutorial for GTC2019☆134Updated 2 years ago
- Numeric and scientific computing on GPUs for Python with a NumPy-like API☆93Updated 4 years ago
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 10 months ago
- ☆74Updated 6 years ago
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 10 months ago
- Material for the SciPy 2017 Cython tutorial☆143Updated 8 years ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- Accurate sums and dot products for Python.☆107Updated 4 years ago
- Example Numba implementations of functions☆178Updated 3 years ago
- SymPy tutorial materials for SciPy 2016☆41Updated 9 years ago
- Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&☆59Updated 2 years ago
- Additional scientific computing functionality in Python - extensions to NumPy/SciPy++☆64Updated 5 years ago
- Book: Introduction to Python for Computational Science and Engineering☆383Updated last year
- Table of Contents extension for JupyterLab☆72Updated 6 years ago
- Jupyter notebooks on differential equations and how to solve them using Python.☆62Updated 9 years ago
- Easy access in Python to a large collection of ODE solvers☆125Updated 5 years ago
- Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.☆135Updated last month
- An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.☆283Updated 3 weeks ago
- Slides for quantstack talks☆81Updated 2 years ago
- ☆21Updated 6 years ago
- Jupyter notebooks and other materials developed for the Columbia course APMA 4300☆293Updated 3 years ago
- Resources for the book "Programming for Computations" by S. Linge and H. P. Langtangen☆125Updated 3 years ago
- A workflow for creating and editing publication ready scientific reports and presentations, from one or more Jupyter Notebooks, without l…☆226Updated 3 years ago
- ∫ Straightforward numerical integration of systems of ordinary differential equations☆96Updated 4 months ago
- Ten simple rules for better figures☆295Updated 2 years ago
- Tutorial on python packaging☆63Updated 2 years ago
- An example syllabus and lesson materials for a seminars on effective computation in the physical sciences.☆36Updated 10 years ago
- ☆177Updated last year