A relational data framework for scientific data pipelines with MySQL backend.
1 maintainer
Metadata
1 maintainer
Release files for datajoint-gucky 0.13.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| datajoint-gucky-0.13.7.tar.gz | 108.5 kB | Without provenance | Details for datajoint-gucky-0.13.7.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datajoint_gucky-0.13.7-py3-none-any.whl | Python 3 | none | any | Details for datajoint_gucky-0.13.7-py3-none-any.whl |
Total release size: 226.3 kB
Release files / datajoint-gucky-0.13.7.tar.gz
| Download URL | datajoint-gucky-0.13.7.tar.gz |
|---|---|
| Size | 108.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-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/4.0.1 CPython/3.9.7
|
Release files / datajoint_gucky-0.13.7-py3-none-any.whl
| Download URL | datajoint_gucky-0.13.7-py3-none-any.whl |
|---|---|
| Size | 117.8 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/4.0.1 CPython/3.9.7
|
Security for datajoint-gucky 0.13.7
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