Project description

forecast_tools

forecast_tools provides fundamental tools to support the forecasting process in python

Development environment:

Launch in the cloud via Binder.

Click on the binder badge at the top of this readme to run the example Jupyter Notebooks in the cloud.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

0.2.1

Dec 12, 2023

0.1.7

Feb 3, 2022

0.1.6

Oct 15, 2021

0.1.5

Aug 6, 2020

0.1.4

Aug 1, 2020

This version

0.1.3

Jul 31, 2020

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

Uploaded Jul 31, 2020 Source

Uploaded Jul 31, 2020 Python 3

Hashes for forecast-tools-0.1.3.tar.gz
Algorithm	Hash digest
SHA256	`528520e62aa4af6fac64c7f0c86eaf8a84767423312a015dfd6cb8a5bafc17eb`
MD5	`d542efa2f28349f1bbe1574db56e826b`
BLAKE2b-256	`69ee2975f49ba6d0cb571dd415dba4ffc1950eea6b4a22fc093b216f883cb18b`

Hashes for forecast_tools-0.1.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`c83db640fd0a0a472d7089aee5e7bed736e262f68b2ec89684faef65422828b2`
MD5	`cd3abbd68d7583e30433d4cd852311be`
BLAKE2b-256	`b66a62271a5ae510f79d12cd0fd48fb3b8bc11e24f89e0f28add92dbfee30ce0`