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/
Project details
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-3.1.7.tar.gz
(99.6 kB
view hashes)
Built Distribution
scs_analysis-3.1.7-py3-none-any.whl
(330.4 kB
view hashes)
Close
Hashes for scs_analysis-3.1.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97c567dfc90652d99348e7a45977f400b8f15cecb3a51271d2972e08b1d20c5c |
|
MD5 | 80469349201f03a1a79993db5660fd0d |
|
BLAKE2b-256 | 52b53f2acde32f6ca04a5a1bbad9dd8f1ad1b59aedff7bdec623c39bbf5dd579 |