Thanks for this overview of the Python visualization tool landscape. Has a few years but is still a good overview. Love the way you perform on the stage. Very professional but still enjoyable. A speaker who knows the field he is talking about. Was a pleasure to follow this. Doing my DYOR what has changed in the meantime.
20:49 submitting data and rendering specifications for generating interactive plots, I like that notion of declarative visualization. Keep up those efforts, I'd love things to get to that dimension.
My two favorite plotting lib are missing in this talk which goes in the declarative type I'll put a link there just in case : plotnine.readthedocs.io/en/stable/ yhat.github.io/ggpy/
We've been heavily porting to Bokeh at work, especially an embedded bokeh server to serve up cool dashboard navigational stuff in Flask. Does plotly have anything comparable to bokeh server?
Jake’s PyCon talks are the best primers to any Python topic. He’s a great teacher!
Thanks for this overview of the Python visualization tool landscape. Has a few years but is still a good overview. Love the way you perform on the stage. Very professional but still enjoyable. A speaker who knows the field he is talking about. Was a pleasure to follow this. Doing my DYOR what has changed in the meantime.
Interesting idea:
-Andrew Curves @ 8:35
-Seaborn @ 9:18
-Bokeh @ 11:06
-DataShader @ 15:43
-Holoviews @ 17:50
-Altair @ 19:43
20:49 submitting data and rendering specifications for generating interactive plots, I like that notion of declarative visualization. Keep up those efforts, I'd love things to get to that dimension.
25:47 Genius. So glad things have come to this. So math-array-oriented before. More JSON-oriented now. And still done using a simple Python format.
Great presentation and organization of the (vast) field of Data Visualization.
Thanks. It's nice to have an overview like this!
My two favorite plotting lib are missing in this talk which goes in the declarative type
I'll put a link there just in case :
plotnine.readthedocs.io/en/stable/
yhat.github.io/ggpy/
Thanks - I hadn't seen plotnine... but I did mention ggpy in the talk.
Nice presentation
We've been heavily porting to Bokeh at work, especially an embedded bokeh server to serve up cool dashboard navigational stuff in Flask. Does plotly have anything comparable to bokeh server?
Dash
Beautiful
great overview.
Thank you! Sir
fathi medos fez said thank you so much
So what do you recommend to someone new to plotting in python trying to focus on engineering?
Matplotlib i'd say.
Thank you Sir.
Thank you sir!