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-3.7.0.tar.gz
(101.7 kB
view hashes)
Built Distribution
scs_analysis-3.7.0-py3-none-any.whl
(334.1 kB
view hashes)
Close
Hashes for scs_analysis-3.7.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 725376500ff97a761d08ad353645a061893e285cc24eb65029174d1f6a6bb730 |
|
MD5 | 379b80e03ed4d671c2fd5e061f5f0963 |
|
BLAKE2b-256 | 8558d8ccd140a804c913a7ad0d2bc192dfef5bac50a2f53572358693b94bd754 |