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Source channel @githubtrending · Post #15158 · Sep 20

#typescript#anthropic#anthropic_claude#claude#claude_4#claude_4_opus#claude_4_sonnet#claude_ai#claude_code#claude_code_sdk#cursor#ide#llm#llm_code#rust#tauri opcode is a powerful desktop app that makes working with Claude Code easier and more visual. It lets you manage projects and coding sessions with a clear interface, create custom AI agents for specific tasks, track your usage and costs, and organize servers all in one place. You can save and restore session checkpoints, view detailed logs, and edit project files with live previews. It runs securely on your computer, keeping your data private, and supports Windows, macOS, and Linux. This tool helps you be more productive and organized when coding with Claude Code by replacing complex command-line work with a user-friendly GUI. https://github.com/winfunc/opcode

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#typescript #anthropic #anthropic_claude #claude #claude_4 #claude_4_opus #claude_4_sonnet #claude_ai #claude_code #claude_code_sdk #cursor #ide #llm #llm_code #rust #tauri

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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