rsnemmen / parallel-python-tutorialLinks
Parallel Computing with Python
☆29Updated 2 years ago
Alternatives and similar repositories for parallel-python-tutorial
Users that are interested in parallel-python-tutorial are comparing it to the libraries listed below
Sorting:
- Tutorial on "Efficient Python for High-Performance Computing"☆121Updated 7 months ago
- fast algorithm to do statistics on big data☆37Updated last month
- A web-based analysis and visualization platform for HPC ensembles and high dimensional data sets.☆74Updated this week
- Numba tutorial materials for Scipy 2016☆144Updated 8 years ago
- ☆76Updated 6 years ago
- Content for my Astronomy 599 Course: Intro to scientific computing in Python☆140Updated 6 years ago
- algorithms for mass univariate regression☆12Updated 7 years ago
- slides + Jupyter notebooks for the Stony Brook University "Python for Scientific Computing" class.☆81Updated last month
- HDF5 Tutorial☆106Updated 11 years ago
- Materials for the IPython/Jupyter workshop at the NGCM Summer Academy, at Southampton University, Boldrewood campus.☆47Updated 7 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆53Updated 4 years ago
- Getting Python Performance with Intel(R) Distribution for Python☆13Updated 2 years ago
- Tools used to generate the SciPy conference proceedings☆246Updated last month
- [Outdated. Please use https://github.com/numba/numba-examples] Examples of NumbaPro in use.☆171Updated 3 years ago
- PyData SV 2013 Tutorial on Advanced Matplotlib☆57Updated 11 years ago
- Additional scientific computing functionality in Python - extensions to NumPy/SciPy++☆64Updated 5 years ago
- JupyterCon 2018 JupyterLab tutorial☆21Updated 7 years ago
- Scripts for building Singularity images☆10Updated 6 years ago
- An example syllabus and lesson materials for a seminars on effective computation in the physical sciences.☆36Updated 9 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated 2 years ago
- Principal Component Analysis (PCA) for Missing and/or Noisy Data☆81Updated 8 years ago
- Lecture notes (in IPython Notebook format) on Reproducible Science And Modern Scientific Software☆38Updated 9 years ago
- Materials for a Python in HPC class☆34Updated 5 years ago
- SymPy tutorial materials for SciPy 2016☆41Updated 9 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 5 years ago
- ☆174Updated 11 months ago
- one-line plotting tool☆36Updated 8 years ago
- Machine Learning for Scientists Tutorial☆35Updated 10 years ago
- Uncertainty Quantification and Sensitivity Analysis Tool☆13Updated 7 years ago
- Content for the SciPy 2015 Cython tutorial: http://www.scipy2015.scipy.org/ehome/115969/289057/?&☆59Updated last year