Jake VanderPlas The Python Visualization Landscape PyCon 2017

"Speaker: Jake VanderPlas
So you want to visualize some data in Python: which library do you choose? From Matplotlib to Seaborn to Bokeh to Plotly, Python has a range of mature tools to create beautiful visualizations, each with their own strengths and weaknesses. In this talk I’ll give an overview of the landscape of dataviz tools in Python, as well as some deeper dives into a few, so that you can intelligently choose which library to turn to for any given visualization task.
Slides can be found at: speakerdeck.com/pycon2017 and github.com/PyCon/2017-slides"

[@youknowmyname12345]

Jake’s PyCon talks are the best primers to any Python topic. He’s a great teacher!

[@Actanonverba01]

Interesting idea:
-Andrew Curves @ 8:35
-Seaborn @ 9:18
-Bokeh @ 11:06
-DataShader @ 15:43
-Holoviews @ 17:50
-Altair @ 19:43

[@cosmicallyderived]

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.

[@SHONNER]

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.

[@ramav87]

Thanks. It's nice to have an overview like this!

[@MrCirorockert]

Great presentation and organization of the (vast) field of Data Visualization.

[@bluelight9421]

Nice presentation

[@GUAGUAGE]

Thank you Sir.

[@gappyp3851]

great overview.

[@antoni2nguyen]

Thank you sir!

[@JonathanObise]

Beautiful

[@dormannd2861]

Thank you! Sir

[@cosmicallyderived]

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?

[@SwapperTheFirst]

Dash

[@waats]

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/

[@jakevanderplas2418]

Thanks - I hadn't seen plotnine... but I did mention ggpy in the talk.

[@Rene-tu3fc]

So what do you recommend to someone new to plotting in python trying to focus on engineering?

[@mmmhorsesteaks]

Matplotlib i'd say.

[@9assahrasoum3asahboou87]

fathi medos fez said thank you so much