py5coding's profile picture. #py5 is a new version of Processing for Python 3.9+. This library connects the #Processing Java libraries to #Python using #JPype.

@py5coding@fosstodon.org

py5

@py5coding

#py5 is a new version of Processing for Python 3.9+. This library connects the #Processing Java libraries to #Python using #JPype. @[email protected]

Version 0.10.7a0 of #py5 just been released! This version requires Python 3.10+, newer versions #numpy and #jpype, and has several bug fixes. Read more about it here: ixora.io/blog/new-relea… A new release of py5's #thonny plugin is coming next. Stay tuned!


py5 podał dalej

Also worth noting: py5 (@py5coding) is a relatively new version of Processing for Python 3.9+. It’s incredibly handy for creating visualizations while taking full advantage of the Python ecosystem. I often use it for form-finding and generative experiments.

"If the creative coding community has a lingua franca, it would likely be some form of Processing." Samuel Arbesman pays tribute to Processing in his latest book, The Magic of Code. @ben_fry

furafuku's tweet image. "If the creative coding community has a lingua franca, it would likely be some form of Processing."

Samuel Arbesman pays tribute to Processing in his latest book, The Magic of Code. @ben_fry
furafuku's tweet image. "If the creative coding community has a lingua franca, it would likely be some form of Processing."

Samuel Arbesman pays tribute to Processing in his latest book, The Magic of Code. @ben_fry


New #py5 release! Now using #processing version 4.4.1 core.jar and updated jpype dependency to >=1.5.2, plus better support for Processing Libraries...visit ixora.io/blog/new-relea… to learn more!


There's a new #py5 release! Version 0.10.4a2 is available. This release has important macOS improvements: ixora.io/blog/new-relea… Also: mastodon. What are you waiting for? fosstodon.org/@py5coding


I'm happy to announce a new release of #py5 and py5jupyter (py5's #jupyter kernels). This is a small release with some bug fixes and enhancements. Read more here: ixora.io/blog/new-relea…


Also, there will be a #py5 and py5jupyter release soon, perhaps by the end of the month. The next version will require #Python 3.9+.


Everyone! Here is the recording of the #py5 presentation delivered at #pycon2024 a few months ago in Pittsburgh, PA (USA): youtu.be/pNVn3FPi5PU It was a thrill to share py5 with the Python community at #pycon ! Please give the video a thumbs up!


#py5's #thonny plugin has a new release! github.com/tabreturn/thon… This release cleans up some important version issues, among other things. Thank you to @tabreturn for getting this release out the door!


Thank you to Rich Dahlstedt (github.com/r-dahlstedt-li…) for becoming a #GitHub sponsor of #py5! Very grateful for the support of this growing #opensource community! github.com/sponsors/py5co…


Tomorrow (Saturday) at PyCon US 2024: "Creative Coding with py5, the Python version of Processing," at 4:15 in Room 301-305 us.pycon.org/2024/schedule/… #pycon #pycon2024 #py5 #processing


Here's an important notice for #py5 & #processsing MacOS users w/ Apple Silicon (M1, M2, M3): blogs.oracle.com/java/post/java… tl;dr: skip upgrading to macOS 14.4 and update to macOS 14.4.1 instead.


Thank you to artist Alec Danaher (@AlecDanaher, instagram.com/alecdanaherart/, github.com/adanaher) for becoming a github sponsor of #py5! Very grateful for your support of this #opensource project! github.com/sponsors/py5co…


Many thanks to Érico Andrei (@ericof, github.com/ericof) for becoming a #github sponsor of #py5! Thank you so much for your support of this #opensource #processing project! github.com/sponsors/py5co…


Creating 10K of something is easy with #py5's vectorized methods: size(999,999,P2D) color_mode(CMAP,"hot") stroke_weight(32) s=create_shape() with s.begin_shape(POINTS): s.vertices(999*np.random.rand(N:=10000,2)) s.set_strokes(color(x/N,64)for x in range(N)) shape(s) #genuary16

py5coding's tweet image. Creating 10K of something is easy with #py5's vectorized methods:

size(999,999,P2D)
color_mode(CMAP,"hot")
stroke_weight(32)
s=create_shape()
with s.begin_shape(POINTS):
 s.vertices(999*np.random.rand(N:=10000,2))
s.set_strokes(color(x/N,64)for x in range(N))
shape(s)
#genuary16

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