# Talks and Tutorials

Note

This is a selection of talks and tutorials that have been given by members of the Numba team as well as Numba users. If you know of a Numba-related talk that should be included on this list, please open an issue.

## Talks on Numba

- AnacondaCON 2018 - Accelerating Scientific Workloads with Numba - Siu Kwan Lam (Video)

- DIANA-HEP Meeting, 23 April 2018 - Overview of Numba - Stan Seibert

## Talks on Applications of Numba

- GPU Technology Conference 2016 - Accelerating a Spectral Algorithm for Plasma Physics with Python/Numba on GPU - Manuel Kirchen & Rémi Lehe (Slides)

- DIANA-HEP Meeting, 23 April 2018 - Use of Numba in XENONnT - Chris Tunnell

- DIANA-HEP Meeting, 23 April 2018 - Extending Numba for HEP data types - Jim Pivarski

- STAC Summit, Nov 1 2017 - Scaling High-Performance Python with Minimal Effort - Ehsan Totoni (Video, Slides)

- SciPy 2018 - UMAP: Uniform Manifold Approximation and Projection for Dimensional Reduction - Leland McInnes (Video, Github)

- PyData Berlin 2018 - Extending Pandas using Apache Arrow and Numba - Uwe L. Korn (Video, Blog)

- FOSDEM 2019 - Extending Numba - Joris Geessels (Video, Slides & Examples)

- PyCon India 2019 - Real World Numba: Taking the Path of Least Resistance - Ankit Mahato (Video)

- SciPy 2019 - How to Accelerate an Existing Codebase with Numba - Siu Kwan Lam & Stanley Seibert (Video)

- SciPy 2019 - Real World Numba: Creating a Skeleton Analysis Library - Juan Nunez-Iglesias (Video)

- SciPy 2019 - Fast Gradient Boosting Decision Trees with PyGBM and Numba - Nicholas Hug (Video)

- PyCon Sweden 2020 - Accelerating Scientific Computing using Numba - Ankit Mahato (Video)

## Tutorials

- SciPy 2017 - Numba: Tell those C++ Bullies to Get Lost - Gil Forsyth & Lorena Barba (Video, Notebooks)

- GPU Technology Conference 2018 - GPU Computing in Python with Numba - Stan Seibert (Notebooks)

- PyData Amsterdam 2019 - Create CUDA kernels from Python using Numba and CuPy - Valentin Haenel (Video)