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-3.4.3.tar.gz
(100.6 kB
view hashes)
Built Distribution
scs_analysis-3.4.3-py3-none-any.whl
(331.9 kB
view hashes)
Close
Hashes for scs_analysis-3.4.3-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 26eb8741e3feaf2f17cec5e93ab6e15a5eed00cf01f62c56a83cf0e9bac4e5d6 |
|
| MD5 | cef466e8f12c5937bc34a3642d670585 |
|
| BLAKE2b-256 | 5de99fa5c35540ebe7489c4631e2ecddcc84c7372a146c71854a292010148c31 |
