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I was playing with 3d vector fields visualization. It's very hard to write code for it because most of the time I end up just staring hypnotized into the screen.pic.twitter.com/cFj9Fa8haG
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The choice of colors here is fantastic
https://twitter.com/ana_arayac/status/1222696629549047812 …
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Andrei Kashcha proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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For the
#plottertwitter community, artists and those who play with lasers: You can now export peaks as SVG here https://anvaka.github.io/peak-map Kudos to@msurguy for the inspiration, videos and a physical copy of Mindanao island!pic.twitter.com/f4cK8r3avKHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Andrei Kashcha proslijedio/la je Tweet
Very cool ridge map generator: https://anvaka.github.io/peak-map/ by
@anvakapic.twitter.com/VPmoaYQIY4
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Announcing https://anvaka.github.io/city-roads/ website that allows you to print roads of any citypic.twitter.com/kgDGK4XdWh
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Andrei Kashcha proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Graph of Tokyo roads is absolutely fantastic
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This is what happens when you render 1,466,174 edges at once
#IDidntKnowMyKinkWas#tokyopic.twitter.com/F154SfD32h
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Andrei Kashcha proslijedio/la je Tweet
A beautiful solution of the gravitational 4-body problem. But keep watching, because it's not stable!https://twitter.com/simon_tardivel/status/1215728659010670594 …
0:16Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Andrei Kashcha proslijedio/la je Tweet
this is nothing special or new. Just a well known flocking system, still impressive how much can be achieved from "simple" vector operations.pic.twitter.com/3f60qcm1Cb
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Andrei Kashcha proslijedio/la je Tweet
Studying or teaching Complex Analysis? This online book might be useful.
Complex Analysis: A Visual and Interactive Introduction
https://complex-analysis.com/
#complex#analysis#OpenSource Thanks everyone for your suggestions and reporting issues to improve this project.pic.twitter.com/ElaWs4XjIVHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
So happy to see this ridgeline toy project is discovered by the Internet. Saw it on
@flowingdata website,@newsycombinator, and now here on@kottke . Thank you
!https://twitter.com/kottke/status/1215048289671950336 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Nice and concise overview of graph algorithms with NetworkX library in Python: https://ansegura7.github.io/Algorithms/graphs/Graphs.html …https://twitter.com/SeguraAndres7/status/1214938167964577792 …
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Made a video of 2019 winds based on
@NOAA data Best viewed with headphones on:@tomdaymusic gives holistic experience to this animation The brighter the color - the higher was wind speed. The darker - the slower. The landmass is just an illusion Code: https://github.com/anvaka/winvelviz …pic.twitter.com/LmN7Ysy3nXHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
"Betweenness centrality" is a graph metric defined by a number of shortest paths going through a node/edge It's easy to understand it if you draw shortest paths with transparent ink. The more paths go through an edge the brighter it becomes and the higher its centrality value ispic.twitter.com/1dkWNmqne3
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@Mapbox Thank you for the amazing set of APIs! Found a few gaps in your elevation dataset and just wanted to share. It's not a deal breaker for me and I still love your APIs!pic.twitter.com/Y3KgVCch6E
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This animation shows the difference between two graph traversal algorithms. * BFS and DFS have the same speed (complexity) * The order in which graph is explored is very differentpic.twitter.com/iT0hh8HH4A
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Here is a simulation of a drunken agent, taking turns randomly in Istanbul They barely scratched the surface after one million turns.pic.twitter.com/9A6VuE1FKW
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You can now rotate the map to draw the lines for a different angle Play with it here: https://anvaka.github.io/peak-map/ pic.twitter.com/Uy6ghQk3d1
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Say you are drunk walking in Amsterdam and taking each turn randomly. Here is how much you'd be able to cover after 1 million turnspic.twitter.com/QdqtCTRi7w
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