What’s for?
unipy is a toolkit for data scientists. This offers a number of scientific, statistical objects. This also contains many pythonic objects like generators, decorators and function wrappers, etc.
Some famous datasets embedded will make you easy to test.
Installation
pip install unipy
Usage
import unipy as up import unipy.dataset.api as dm
Release files for unipy 0.1.27
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| unipy-0.1.27.tar.gz | 9.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| unipy-0.1.27-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.0 MB
Release files / unipy-0.1.27.tar.gz
| Download URL | unipy-0.1.27.tar.gz |
|---|---|
| Size | 9.5 MB |
| 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 |
Python-urllib/3.6
|
Release files / unipy-0.1.27-py3-none-any.whl
| Download URL | unipy-0.1.27-py3-none-any.whl |
|---|---|
| Size | 9.5 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 |
Python-urllib/3.6
|
