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-3.1.1.tar.gz
(97.7 kB
view hashes)
Built Distribution
scs_analysis-3.1.1-py3-none-any.whl
(325.0 kB
view hashes)
Close
Hashes for scs_analysis-3.1.1-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 58dd38f52c72572f6209bd3be6a02069a33b173f72fd2528bb78c69fc35df585 |
|
| MD5 | 8112bf3e48ec5289bf10c94dc17be719 |
|
| BLAKE2b-256 | 7bfaa133ecd787b42305c0ed2fc0b69b05a17095af163bc9b279f1094a8ebe50 |
