Miniconda with gdal install

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Miniconda with gdal install

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Last edited Sep 24, 2022

Created on Sep 24, 2022

This example demonstrates a command-line recipe for setting up a Python environment with GDAL, the geospatial data abstraction library, using Miniconda. It shows how to configure conda with the conda-forge channel and strict priority, create a virtual environment named `gdal_latest` with Python 3.9, and install both `gdal` and `libgdal` packages. The process relies on conda commands such as `conda config`, `conda create`, `conda activate`, and `conda deactivate` to manage the environment and its dependencies.

AI-generated description

Miniconda install recipe for GDAL

Take miniconda from https://docs.conda.io/en/latest/miniconda.html#latest-miniconda-installer-links and execute either the sh file or the pkg file

Add channel for GDAL

conda config --add channels conda-forge
conda config --set channel_priority strict

Create virtualenv à la "conda" style

conda create --name gdal_latest python=3.9

Activate env and install gdal

conda activate gdal_latest
conda install gdal libgdal

Run your command here or your python script

Then when finished, do

conda deactivate

Now only need to do to have a working gdal + python gdal env with

conda activate gdal_latest

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