Oracle Data Studio API
The Python client for Oracle Data Studio on Autonomous Database offers various operations for accessing and managing Oracle Databases via Oracle REST Data Services (ORDS). It provides functions to support uploading files from Cloud Storage to the database, importing tables from database links, and manipulating analytic views and insights.
The Data Studio API works with Python 3.10 or later.
Install Data Studio API
pip install oracle-data-studio
Using Data Studio API
Please visit Oracle documentation for details.
1 maintainer
Metadata
1 maintainer
Release files for oracle-data-studio 1.0.37
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| oracle_data_studio-1.0.37.tar.gz | 500.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| oracle_data_studio-1.0.37-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.1 MB
Release files / oracle_data_studio-1.0.37.tar.gz
| Download URL | oracle_data_studio-1.0.37.tar.gz |
|---|---|
| Size | 500.9 kB |
| Tags | Source |
|
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/6.2.0 CPython/3.14.3
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Release files / oracle_data_studio-1.0.37-py3-none-any.whl
| Download URL | oracle_data_studio-1.0.37-py3-none-any.whl |
|---|---|
| Size | 591.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.3
|
