geospark
This library is Python wrapper on GeoSpark library.
GeoSpark is a cluster computing system for processing large-scale spatial data. GeoSpark extends Apache Spark / SparkSQL with a set of out-of-the-box Spatial Resilient Distributed Datasets (SRDDs)/ SpatialSQL that efficiently load, process, and analyze large-scale spatial data across machines.
Python version supports:
Please follow tutorial on official GeoSpark website: https://datasystemslab.github.io/GeoSpark/
1 maintainer
Release files for geospark 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| geospark-1.3.0.tar.gz | 34.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| geospark-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 68.7 MB
Release files / geospark-1.3.0.tar.gz
| Download URL | geospark-1.3.0.tar.gz |
|---|---|
| Size | 34.3 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.5
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Release files / geospark-1.3.0-py3-none-any.whl
| Download URL | geospark-1.3.0-py3-none-any.whl |
|---|---|
| Size | 34.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.5
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