Installation

If you’re new to Python, we recommend using Anaconda to install Python on your machine. You can then manage packages from the terminal using conda.

To create a new conda environment for StratMC, run:

conda create --name stratmc_env

Before installing StratMC, activate the new environment and install pip:

conda activate stratmc_env
conda install pip

You can then install StratMC and its dependencies using pip (note that the --pre flag is required to install the current version, which is a pre-release), or by compiling directly from the GitHub repository:

PIP

pip install stratmc --pre

Latest (unstable)

pip install git+https://github.com/sedmonsond/stratmc

Installing on Apple Silicon

On Apple Silicon machines (M1 chip or later), sampling is significantly faster when the Apple Accelerate BLAS library is used, rather than the default OpenBLAS library. After installing StratMC in a new conda environment, run:

conda install -c conda-forge numpy">=1.17.0,<2" "libblas=*=*accelerate"