Use cubic exponential smoothing to predict.
📦 setup.py (for humans)
This repo exists to provide an example setup.py file, that can be used
to bootstrap your next Python project. It includes some advanced
patterns and best practices for
setup.py, as well as some
For example, this
setup.py provides a
$ python setup.py upload
command, which creates a universal wheel (and sdist) and uploads
your package to PyPi using Twine, without the need for an annoying
setup.cfg file. It also creates/uploads a new git tag, automatically.
setup.py files can be daunting to approach, when first
starting out — even Guido has been heard saying, "everyone cargo cults
thems". It's true — so, I want this repo to be the best place to
copy–paste from :)
cd your_project # Download the setup.py file: # download with wget wget https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py -O setup.py # download with curl curl -O https://raw.githubusercontent.com/navdeep-G/setup.py/master/setup.py
- Tests via
$ setup.py test(if it's concise).
Pull requests are encouraged!
- What is setup.py? on Stack Overflow
- Official Python Packaging User Guide
- The Hitchhiker's Guide to Packaging
- Cookiecutter template for a Python package
This is free and unencumbered software released into the public domain.
Anyone is free to copy, modify, publish, use, compile, sell, or distribute this software, either in source code form or as a compiled binary, for any purpose, commercial or non-commercial, and by any means.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size Tendency_Predict-0.1-py3-none-any.whl (5.8 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size Tendency_Predict-0.1.tar.gz (6.6 kB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for Tendency_Predict-0.1-py3-none-any.whl