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!

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

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

#py5 lets you manipulate pixels with `np_pixels[]`, a #numpy array w/ 3 dimensions: size(999,999) background('w') load_np_pixels() for _ in range(99): x,y,c=random_int(900), random_int(900),random_int(1,3) np_pixels[x:x+99,y:y+99,c]=0 update_np_pixels() #genuary4 #genuary

#py5's new to_pil() method returns the frame as a PIL Image, making it easy to implement a Droste effect with a loop: size(1024,1024) background('w') image(Image.open('logo.png'),512,512) for _ in range(9): image(to_pil().resize((595,595)),0,0) #genuary #genuary3

This week's #py5 release added a new color mode based on @matplotlib's colormaps, adding to the RGB and HSB modes: size(999,999) color_mode(CMAP,mpl.colormaps['jet']) stroke_weight(99) for _ in range(999): stroke(random(),99) point(random(999),random(999)) #genuary #processing

Happy Holidays, from #py5! Made with #py5 & #axidraw

A spin on @shiffman's Flocking #processing Sketch: make calls from #java to #python to use @scikit_learn's KMeans algo to cluster the Boids, & they only influence their own cluster. This is #py5's new Processing Mode, making the Python ecosystem available to @ProcessingOrg users

Happy Holidays from #py5! Wishing everyone all the best in the New Year! #plottertwitter #genart #genartclub #axidraw #processing

Here's a quick demo of how you can combine #py5 with @matplotlib in an animation. Gets a solid 60fps. Code: gist.github.com/hx2A/200b851…

Happy to help you, @jkantel! I was able to get #py5's kernels working in #Jupyter Desktop by changing it's #python environment to one that had the kernels installed. See github.com/jupyterlab/jupyte… Also, I didn't know about Jupyter Desktop, thanks for mentioning it!

#matplotlib color gradients work great with #py5. Something like: size(999,999) from matplotlib import cm color_mode(RGB,1,1,1,1) for _ in range(2000): x=random(width) y=random(height) fill(*cm.viridis(x/width)) square(x,y,10) #つぶやきProcessing

#つぶやきProcessing of a new #py5 feature: use #matplotlib colors if it is installed size(999,999) background('w') text_size(99) for i,c in enumerate('r,m,blue,plum,turquoise,darkviolet,firebrick,xkcd:ugly brown,chartreuse,tab:olive'.split(',')): fill(c);text(c,z:=(1+i)*25,4*z)