Installation

Note

ler supports Python 3.10+ (but 3.11 recommended) and utilizes multi-core CPUs and multi-threaded CPUs when available.

For package development and contribution refer here (ler for development).

pippip

uv add ler

This will also install the dependencies needed by the lastest ler version.

ler for development

To install ler for development purposes use github.ler. Use conda environment to avoid dependency error.

with new conda envwith existing conda env

git clone https://github.com/hemantaph/ler.git
cd ler
conda env create -f ler.yml
conda activate ler
pip install -e .

Installation of numba with conda

conda install -c conda-forge numba

Note

For arm64 architecture processor (e.g. Apple Silicon) you might need to install some specific dependencies with conda. There can be errors related to multiprocessing on either arm64 or x86_64 architecture. This can be resolved by using the main() function as shown in this example.