PAPyA
Prescriptive Performance Analysis in Python Actions
This library provides prescriptive analysis for the complex solution space of (RDF relational schema, Partitioning, and Storage Formats) that emerges with querying large RDF graphs over Relational Big Data (BD) System, e.g., Apache Spark-SQL.
- Documentation and more details about PAPya
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Release files for PAPyA 1.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| PAPyA-1.1.6.tar.gz | 14.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| PAPyA-1.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.3 kB
Release files / PAPyA-1.1.6.tar.gz
| Download URL | PAPyA-1.1.6.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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Release files / PAPyA-1.1.6-py3-none-any.whl
| Download URL | PAPyA-1.1.6-py3-none-any.whl |
|---|---|
| Size | 16.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.12
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