Skip to main content

Pangsit(py) is my starter pack framework represented in Python to deal with learning computing such as Machine/Deep Learning, Data Science, etc.

Project description

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

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pangsitpy-0.0.13.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pangsitpy-0.0.13-py3-none-any.whl (11.2 kB view details)

Uploaded Python 3

File details

Details for the file pangsitpy-0.0.13.tar.gz.

File metadata

  • Download URL: pangsitpy-0.0.13.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.7

File hashes

Hashes for pangsitpy-0.0.13.tar.gz
Algorithm Hash digest
SHA256 c6aa132266ddb9294400b7784a5567d28d2ae5da5c9217dd8805b8cedf1ea40b
MD5 8705f6b54907b969081a91c06dc1a8d8
BLAKE2b-256 9f178a23c218c83febe0a21514493b98a24cdeffc8a1c4c588dc9f6a3b5700aa

See more details on using hashes here.

File details

Details for the file pangsitpy-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: pangsitpy-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 11.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.0.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.7

File hashes

Hashes for pangsitpy-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 7058966c81c5b701d0195cb975a3957910873d4d0583581c54be067de808f958
MD5 6f47d050fb89d82520e67ffd3b3f2830
BLAKE2b-256 6a403d5fe349ee3704872268ab4c8460473692cc3ddfc05e1d0c123b973e0c59

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page