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Source channel @githubtrending · Post #15097 · Aug 26

#vim_script#hacktoberfest#personal_organizer#vim#vim_plugin#vimwiki#wiki VimWiki is a personal wiki plugin for Vim that helps you organize notes, manage to-do lists, write diaries, and create linked text files with easy navigation using simple key commands like `<Leader>ww`. It supports multiple markup syntaxes (VimWiki, Markdown, MediaWiki) and can export your notes to HTML. You can quickly create and follow links between pages, keep separate wikis for different projects, and sync your wiki files across devices since they are plain text. This makes note-taking fast, flexible, and accessible directly within Vim, improving productivity and organization without leaving your editor. https://github.com/vimwiki/vimwiki

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djangoproject

@djangoproject · Post #423 · 08/26/2017, 08:39 AM

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http://scitools.org.uk/iris/docs/latest/userguide/index.html Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising #meteorological and #oceanographic data sets. With Iris you can: Use a single #API to work on your data, irrespective of its original format. Read and write (CF-)netCDF, GRIB, and PP files. Easily produce graphs and maps via integration with #matplotlib and #cartopy.

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#meteorological #oceanographic #api #matplotlib #cartopy

djangoproject

@djangoproject · Post #424 · 08/26/2017, 08:43 AM

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http://scitools.org.uk/cartopy/docs/latest/index.html Cartopy is a Python package designed to make drawing maps for data analysis and visualisation as easy as possible. #Cartopy makes use of the powerful #PROJ.4, #numpy and #shapely libraries and has a simple and intuitive drawing interface to #matplotlib for creating publication quality maps. Some of the key features of cartopy are: object oriented projection definitions point, line, vector, 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

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#cartopy #proj #numpy #shapely #matplotlib