Pangsit(py)
Pangsit(py) is my starter pack framework represented in Python to deal with learning computing such as Machine/Deep Learning,
Data Science, etc. Of course I don't built it from scratch. I use some existing modules such as keras,
tensorflow, scikit, etc, to help me doing Machine/Deep Learning jobs.
I'll create a documentation for this later.
Requirements
- Python >=3.6 (tested on 3.7)
Installation
pip3 install pangsitpy
Get the latest version
This package updates frequently, so make sure you're using the latest version for better logical processes or to get new modules to work with. You can read the CHANGELOG.md
pip3 install pangsitpy --upgrade
Manual usage
You can clone or download the package through git remote. This package requires modules listed in requirements.txt.
If you want to install modules from requirements.txt, I would highly suggest to use
Virtual Environment because it contains modules with it's specific version. You can learn about Virtual Environment on
https://docs.python.org/3/tutorial/venv.html
Release
Changelog
https://github.com/dalikewara/pangsitpy/blob/master/CHANGELOG.md.
Credits
Copyright © 2020 Dali Kewara.
License
1 maintainer
Release files for pangsitpy 0.0.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pangsitpy-0.0.14.tar.gz | 8.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pangsitpy-0.0.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.5 kB
Release files / pangsitpy-0.0.14.tar.gz
| Download URL | pangsitpy-0.0.14.tar.gz |
|---|---|
| Size | 8.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / pangsitpy-0.0.14-py3-none-any.whl
| Download URL | pangsitpy-0.0.14-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.2.0 pkginfo/1.6.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5
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