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Source channel @githubtrending · Post #14986 · Jul 22

#rust#cli#command_line_interface#command_line_tool#dns#icmp#linux#macos#mtr#netbsd#network#networking#ping#ratatui#rust#rustlang#tool#traceroute#tui#tui_rs#windows Trippy is a powerful tool that combines traceroute and ping functions to help you analyze network problems easily. It works on Linux, BSD, macOS, and Windows, and you can install it through many package managers or directly with commands like `cargo install trippy`. Running a simple trace is as easy as typing `sudo trip example.com`. Trippy offers detailed network tracing with features like multipath strategies and unprivileged modes, making it flexible for different needs. Using Trippy helps you quickly find where network issues occur, saving time and improving troubleshooting efficiency. Full guides and documentation are available online to get you started smoothly. https://github.com/fujiapple852/trippy

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#rust #cli #command_line_interface #command_line_tool #dns #icmp #linux #macos #mtr #netbsd #network #networking #ping #ratatui #rustlang #tool #traceroute #tui #tui_rs #windows

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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