OlliePy - An alternative approach for data science
OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.
Documentation
Get started by following the guide
Installation
pip install -U olliepy
1 maintainer
Metadata
1 maintainer
Release files for olliepy 0.2.9
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 |
|---|---|---|---|---|
| olliePy-0.2.9.tar.gz | 10.2 MB | Without provenance | Details for olliePy-0.2.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| olliePy-0.2.9-py3-none-any.whl | Python 3 | none | any | Details for olliePy-0.2.9-py3-none-any.whl |
Total release size: 20.5 MB
Release files / olliePy-0.2.9.tar.gz
| Download URL | olliePy-0.2.9.tar.gz |
|---|---|
| Size | 10.2 MB |
| 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 |
| Uploaded via |
poetry/1.0.10 CPython/3.7.10 Linux/5.4.0-1047-azure
|
Release files / olliePy-0.2.9-py3-none-any.whl
| Download URL | olliePy-0.2.9-py3-none-any.whl |
|---|---|
| Size | 10.3 MB |
| 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 |
poetry/1.0.10 CPython/3.7.10 Linux/5.4.0-1047-azure
|
Security for olliepy 0.2.9
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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