datalore
A framework for AI to explore bays
Free software: GNU General Public License v3.0
Documentation: https://datalore.readthedocs.org.
Features
TODO
Credits
Tools used in rendering this package:
History
0.1.0 (2018-07-02)
First release on PyPI.
Metadata
Release files for datalore 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| datalore-0.1.0.tar.gz | 16.8 kB | Without provenance | Details for datalore-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datalore-0.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details for datalore-0.1.0-py2.py3-none-any.whl |
Total release size: 31.3 kB
Release files / datalore-0.1.0.tar.gz
| Download URL | datalore-0.1.0.tar.gz |
|---|---|
| Size | 16.8 kB |
| Tags | Source |
|
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 |
Release files / datalore-0.1.0-py2.py3-none-any.whl
| Download URL | datalore-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 14.5 kB |
| Tags | Python 2 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 |
Security for datalore 0.1.0
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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