barbagroup / numba_tutorial_scipy2016Links
Numba tutorial materials for Scipy 2016
☆144Updated 8 years ago
Alternatives and similar repositories for numba_tutorial_scipy2016
Users that are interested in numba_tutorial_scipy2016 are comparing it to the libraries listed below
Sorting:
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 11 months ago
- SymPy tutorial materials for SciPy 2016☆41Updated 9 years ago
- Easy access in Python to a large collection of ODE solvers☆125Updated 5 years ago
- Experimenting with pure-Python implementation of the NUFFT☆70Updated 10 years ago
- ☆76Updated 7 years ago
- ☆145Updated 4 years ago
- Jupyter notebooks on differential equations and how to solve them using Python.☆62Updated 9 years ago
- [DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations☆240Updated 8 years ago
- Data fitting with uncertainty analysis☆61Updated last week
- Lightweight non-uniform Fast Fourier Transform in Python☆211Updated 3 years ago
- Cython interface for the GNU Scientific Library (GSL).☆120Updated 3 years ago
- An example syllabus and lesson materials for a seminars on effective computation in the physical sciences.☆36Updated 10 years ago
- Numeric and scientific computing on GPUs for Python with a NumPy-like API☆93Updated 4 years ago
- SymPy code generation tutorial at SciPy 2017☆66Updated 8 years ago
- Additional scientific computing functionality in Python - extensions to NumPy/SciPy++☆64Updated 5 years ago
- slides + Jupyter notebooks for the Stony Brook University "Python for Scientific Computing" class.☆84Updated this week
- Some open material relating to the Southampton Numerical Methods course☆106Updated 7 years ago
- Tutorial on "Modern Optimization Methods in Python"☆251Updated 11 months ago
- Jupyter notebooks and other materials developed for the Columbia course APMA 4300☆293Updated 3 years ago
- Examples on using web frameworks for making scientific applications.☆66Updated 9 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- QUESO is a C++ library for doing uncertainty quantification. QUESO stands for Quantification of Uncertainty for Estimation, Simulation a…☆60Updated 6 years ago
- Generate beautiful plots for LaTeX using your existing matplotlib-based code.☆130Updated last year
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- Script for plotting / visualizing three dimensional arrays.☆25Updated 10 years ago
- ☆178Updated last year
- An extension for IPython/Jupyter that helps to use Fortran in your interactive session.☆118Updated last month
- Material for the SciPy 2017 Cython tutorial☆143Updated 8 years ago
- Fast, transparent calculations of first and second-order automatic differentiation☆48Updated 2 years ago
- Accurate sums and dot products for Python.☆107Updated 4 years ago