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 links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bbeloff from gravatar.com bbeloff

Credits

Author: South Coast Science

License

MIT License

Requires

Python >3.6

Classifiers

Report project as malware

Release files for scs-analysis 3.12.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scs-analysis 3.12.1
File Size Uploaded
scs_analysis-3.12.1.tar.gz 109.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for scs-analysis 3.12.1
File Interpreter ABI Platform
scs_analysis-3.12.1-py3-none-any.whl 362.0 kB Python 3 none any Details

Total release size: 471.0 kB

Release files / scs_analysis-3.12.1.tar.gz

Download URL scs_analysis-3.12.1.tar.gz
Size 109.0 kB
Tags Source
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Release files / scs_analysis-3.12.1-py3-none-any.whl

Download URL scs_analysis-3.12.1-py3-none-any.whl
Size 362.0 kB
Tags Python 3
SHA-256 checksum
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Uploaded via twine/4.0.2 CPython/3.11.3

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3.12.1 This release

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