Data Science Workbench
Data Science Workbench is a Python library to handle common tasks in a data science project. It gives a shortcut to processing, storing and preparing data.
Installation
Use the package manager pip to install.
pip install datascience-workbench
Usage
from workbench import Lists as wl
from workbench import Time as wt
Todo
- add unit tests
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
Metadata
Release files for datascience-workbench 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datascience-workbench-0.0.3.tar.gz | 4.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datascience_workbench-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.5 kB
Release files / datascience-workbench-0.0.3.tar.gz
| Download URL | datascience-workbench-0.0.3.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.9
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Release files / datascience_workbench-0.0.3-py3-none-any.whl
| Download URL | datascience_workbench-0.0.3-py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0.post20201006 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.9
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