Information management and analysis utilities for South Coast Science data consumers
Project description
scs_analysis
Information management and analysis utilities for South Coast Science data consumers
Detailed information at the scs_analysis wiki.
Installation:
The package can be installed either by git clone, or as a pypi project:
pip install scs-analysis
- Windows 10 users may need to install the PyCurl executable for the PIP installer to run which can be found here: https://dl.bintray.com/pycurl/pycurl/
- Linux users may need to install an open SSL library for the PIP installer to run
sudo apt install libcurl4-openssl-dev libssl-dev
https://uoa-eresearch.github.io/eresearch-cookbook/recipe/2014/11/26/python-virtual-env/
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scs-analysis-1.1.46.tar.gz
(98.4 kB
view hashes)
Built Distribution
scs_analysis-1.1.46-py3-none-any.whl
(317.2 kB
view hashes)
Close
Hashes for scs_analysis-1.1.46-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fb1952458a6b100cfbc47e9ebaacad99a891b1a6b2930baa85f1703406e61dd4 |
|
| MD5 | a8def9e39eb7f269cad23020dcf228a9 |
|
| BLAKE2b-256 | 6feb908127cca2953c5d6a6d231d0458bafaaef97bced55c7378d043635fcb9b |
