Aikido Package
Python library for topological data analysis in tabular data.
Created by Baihan Lin, Columbia University
1 maintainer
Metadata
1 maintainer
Release files for aikido 0.0.1
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 | |
|---|---|---|---|---|
| aikido-0.0.1.tar.gz | 14.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aikido-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 28.8 kB
Release files / aikido-0.0.1.tar.gz
| Download URL | aikido-0.0.1.tar.gz |
|---|---|
| Size | 14.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
34fe92f2a6ad4c2a596a37ab54504e3a6e0cebac025db7cb8acc25a2715eaccf
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BLAKE2b-256 checksum How to use checksums |
8c8c0588c13580b9c3407cdebdceb0afe71fb0374fc7316eef6b27c65caa8f74
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.16
|
Release files / aikido-0.0.1-py3-none-any.whl
| Download URL | aikido-0.0.1-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cc41d74e40bec487e9e8788bccfd70b8c537010420c4d6f101d3021f80b5650e
|
|
BLAKE2b-256 checksum How to use checksums |
32cbb348e170f4f8930b0c0c153cb53e1aecbead31a60e1fff4a765f5543d18c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.16
|
Security for aikido 0.0.1
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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