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Source channel @githubtrending · Post #14937 · Jul 9

#typescript#api#cms#cms_framework#content_management#content_management_system#customizable#dashboard#graphql#hacktoberfest#headless_cms#jamstack#javascript#koa#koa2#mysql#no_code#nodejs#rest#strapi#typescript Strapi is a free, open-source headless content management system that lets you manage content easily and flexibly, whether you host it yourself or use Strapi Cloud. It works with many databases and lets you build custom APIs, routes, and plugins to fit your needs. You can use any frontend technology you like, such as React, Vue, or Angular, and it comes with a modern, customizable admin panel. Strapi is fast, secure, and scalable, making it simple to deliver content across websites, apps, or devices. This means you get full control over your content and how it’s displayed, saving time and effort while keeping your project future-proof[1][2][3]. https://github.com/strapi/strapi

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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