py5

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!

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? @py5coding" target="_blank" rel="nofollow noopener">fosstodon.org/@py5coding

Also, don't forget to follow us on Mastodon at @py5coding" target="_blank" rel="nofollow noopener">fosstodon.org/@py5coding

There's a new #py5 release! Version 0.10.3a1 available, now with support for Live Coding: py5coding.org/content/live_c… The release blog post is here: ixora.io/blog/new-relea… Also, some bug fixes and other minor stuff.

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

Also, @villares is teaching a Tutorial "First steps in Creative Coding, learning #Python while making drawings and animations". Very happy to share the @ProcessingOrg community and #py5 at #PyCon! us.pycon.org/2024/schedule/…

Very excited to announce the PyCon talk "Creative Coding with #py5, the #Python version of #Processing"! If you will be at PyCon US in Pittsburgh, PA later this month, please attend! us.pycon.org/2024/schedule/…

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.

Also, your regular reminder to also follow #py5 on mastodon here: @py5coding@fosstodon.org

#py5 version 0.10.1a1 was released today! A small release with some bug fixes and small features. Read more about it here: ixora.io/blog/new-relea… #creativecoding #processing #python

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…

@golan Does this help? py5coding.org/integrations/s… All of #shapely's geometry objects work in #py5 through the convert_shape() method (py5coding.org/reference/sket…) Let me know if you have any questions!

@py5coding Hi! Any chance you could post an example of a notebook that connects py5 to Shapely? Love to see how you're doing this! 🙏

The latest version of #py5 works w/ #shapely objects, implicitly converting to Py5Shape objects & drawing to the screen: size(999,999) stroke_weight(19) p=Polygon([[9,9],[9,990],[990,990],[990,9]]) for _ in range(8): shape(p:=p.buffer(-50,single_sided=True)) #genuary #genuary5

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