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SciTools HomepageSciTools - Python libraries for Weather and Climate Science.
http://scitools.org.uk/
SciTools - Python libraries for Weather and Climate Science.
http://scitools.org.uk/
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SciTools - Python libraries for Weather and Climate Science.
scitools.org.uk
Cartopy Homepage
http://scitools.org.uk/cartopy/index.html
A library providing cartographic tools for python. Some of the key features of cartopy are:. Object oriented projection definitions. Point, line, polygon and image transformations between projections. Integration to expose advanced mapping in matplotlib with a simple and intuitive interface. Powerful vector data handling by integrating shapefile reading with Shapely capabilities. The latest release documentation for cartopy can be found at here. For other versions see the documentation page.
Collaboration
http://scitools.org.uk/collaboration.html
Iris and Cartopy are free and open source projects, published under the LGPLv3. Licence. Both libraries work extensively with third party free and open source libraries. One of the primary objectives of this approach is to aid collaboration and collaborative development. The SciTools projects provide capabilities for developers to make use of. Projects are encouraged to use the capabilities of SciTools and build libraries and functionality on top of these capabilities. Publishing on a site such as GitHub.
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Iris logo designed by richh98 (rich.hancock@ragtagdev.com).
Iris Homepage
http://scitools.org.uk/iris/index.html
A Python library for Meteorology and Climatology. The Iris library implements a data model to create a data abstraction layer which isolates analysis and visualisation code from data format specifics. The data model we have chosen is the CF Data Model. The implementation of this model we have called an Iris Cube. Iris is published under an LGPLv3.
Iris Homepage
http://scitools.org.uk/iris
A Python library for Meteorology and Climatology. The Iris library implements a data model to create a data abstraction layer which isolates analysis and visualisation code from data format specifics. The data model we have chosen is the CF Data Model. The implementation of this model we have called an Iris Cube. Iris is published under an LGPLv3.
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Software installation explained | Dr Climate
https://drclimate.wordpress.com/2014/10/30/software-installation-explained
Let's talk about how we do research in the weather and climate sciences. What is Dr Climate? Who is Dr Climate? October 30, 2014 / Damien Irving. Software installation has got to be one of the most frustrating, confusing and intimidating things that research scientists have to deal with. In fact, I’ve waxed poetic in the past (see this post. There are four major ways in which you might go about installing a certain software package. From easiest to hardest, they go as follows:. 1 Download an installer.
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Understand™ Static Code Analysis Tool | SciTools.com
Understand Static Code Analysis Tool. Understand is an IDE built from the ground up to help you fully comprehend your source code. Analyze it, measure it, visualize it, maintain it - Understand it. Download a free 15 day trial. On an average week, I use the Understand tool about 30-35 hours per week.
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SciTools Homepage
Iris and Cartopy are open source Python libraries initially created by the Met Office to enable the visualisation of weather and climate data. Both libraries are actively developed in collaboration with the scientific community. Is a Python package for analysing and visualising meteorological and oceanographic data sets. Is a Python package for advanced map generation with a simple matplotlib interface.
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