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-1.1.41.tar.gz
(98.4 kB
view hashes)
Built Distribution
scs_analysis-1.1.41-py3-none-any.whl
(317.1 kB
view hashes)
Close
Hashes for scs_analysis-1.1.41-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4555a5c1d41c0e23fa8e5e5db0358348dfb4ec987f21562005709063b1defcd3 |
|
MD5 | a81ae4248e15fab42bc6c72abf2d06b1 |
|
BLAKE2b-256 | 8297b17b8253a13458f4a27330a8e207885586b8fe4a5d3f7a03ede83b1757b0 |