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Source channel @githubtrending · Post #14969 · Jul 17

#cplusplus#artificial_intelligence#cloud#cloud_native#cncf#container#docker#edge_computing#ewasm#hacktoberfest#hacktoberfest2023#kubernetes#rust_lang#serverless#wasm#webassembly WasmEdge is a fast, lightweight, and secure WebAssembly runtime that lets you run programs safely on your devices, servers, or the cloud. It supports many programming languages like C++, Rust, and JavaScript, and can run AI models, microservices, and smart contracts efficiently. WasmEdge offers strong security by isolating programs, making it great for extending software safely. It works well on edge devices, smart devices, and cloud environments, and supports easy integration with tools like Kubernetes and Docker. Using WasmEdge helps you run powerful applications faster, safer, and more flexibly on various platforms[1][2][3][4][5]. https://github.com/WasmEdge/WasmEdge

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#cplusplus #artificial_intelligence #cloud #cloud_native #cncf #container #docker #edge_computing #ewasm #hacktoberfest #hacktoberfest2023 #kubernetes #rust_lang #serverless #wasm #webassembly

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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