This is the spatial analytics notebook we use in our daily work.
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This is the spatial analytics notebook we use in our daily work.
docker run --rm -it -p 8888:8888 -v c:/.../notebooks:/opt/noteboooks pinkerl/geoconda:latest /bin/bash
This image is based on miniconda and stacks up a comprehensive jupyter lab environment with additional spatial related python modules
| Data read/write | gdal, ogr, (parquet, geoavro,...) | | Database connectivity | psycopg, … | | Analysis | numpy, scipy, Pandas, geopandas | | Visualization | matplotlib, seaborn, bokeh, cartopy, basemap, ... | | Cluster computing | Dask,... | | Machine Learning | opencv, (scikit-learn, skimage, tensorflow, pytorch) |
Content type
Image
Digest
Size
1.9 GB
Last updated
almost 8 years ago
docker pull pinkerl/geoconda