Accelerating Numerical Python with Numba @ Madpy

This repository contains the materials for my "Accelerating Numerical Python with Numba" talk at the September 2019 Madpy meetup.

An live version of the notebook from this talk is available by clicking the "launch binder" button below:

You can also run the notebook locally by following the setup instructions below.

Setup

Step 1: Create Conda environment

A Conda environment with the dependencies needed to run the notebook from this talk can be created with:

conda env create --name madpy-numba --file environment.yml

Step 2: Activate Conda environment

Activate the Conda environment:

conda activate madpy-numba

Step 4: Launch JupyterLab

The notebook can then be launched with:

jupyter lab numerical-computing-with-numba.ipynb