bokeh-scipyla-2016.pdf

Transcript

1. Bryan Van de Ven @bryvdv, @BokehPlots SciPy LA 2016 Bokeh Today https://speakerdeck.com/bryanv/bokeh-scipyla-2016
2. No JavaScript Bokeh? https://bokeh.pydata.org/en/latest Interactive visualization, widgets, and tools For the browser, with or without a server Versatile and high-level graphics Streaming, dynamic, large data
3. No JavaScript No JavaScript Bokeh? https://bokeh.pydata.org/en/latest Interactive visualization, widgets, and tools For the browser, with or without a server Versatile and high-level graphics Streaming, dynamic, large data
4. Status
5. What’s new?
6. New Annotations • spans, bars, polys, hover policies What’s new?
7. New Annotations • spans, bars, polys, hover policies What’s new? Custom User Extensions
8. New Annotations • spans, bars, polys, hover policies What’s new? Custom User Extensions Code cleanup, Expanded CI testing
9. New Annotations • spans, bars, polys, hover policies WebGL for lines and markers What’s new? Custom User Extensions Code cleanup, Expanded CI testing
10. New Annotations • spans, bars, polys, hover policies WebGL for lines and markers What’s new? GeoJSON and Tile Renderers Custom User Extensions Code cleanup, Expanded CI testing
11. Stabilized and Expanded Charts API New Annotations • spans, bars, polys, hover policies WebGL for lines and markers What’s new? GeoJSON and Tile Renderers Custom User Extensions Code cleanup, Expanded CI testing
12. Stabilized and Expanded Charts API New Annotations • spans, bars, polys, hover policies WebGL for lines and markers What’s new? Python→JS compilation for CustomJS callbacks GeoJSON and Tile Renderers Custom User Extensions Code cleanup, Expanded CI testing
13. New Bokeh Server What’s new?
14. New Bokeh Server What’s new? • More robust and performant • tornado and websocket protocol
15. New Bokeh Server What’s new? • More robust and performant • tornado and websocket protocol • Simpler to use and deploy • simple python scripts, no special classes
16. New Bokeh Server What’s new? • More robust and performant • tornado and websocket protocol • Simpler to use and deploy • simple python scripts, no special classes • Extensive User Guide Documentation
17. New Bokeh Server What’s new? • More robust and performant • tornado and websocket protocol • Simpler to use and deploy • simple python scripts, no special classes • Extensive User Guide Documentation • Hosted examples at https://demo.bokehplots.com
18. Data Shader What’s new?
19. Data Shader What’s new? • New project in the Bokeh GH org • https://github.com/bokeh/datashader
20. Data Shader What’s new? • New project in the Bokeh GH org • https://github.com/bokeh/datashader • Visualize millions and billions of points • simple python scripts, no special classes
21. Data Shader What’s new? • New project in the Bokeh GH org • https://github.com/bokeh/datashader • Visualize millions and billions of points • simple python scripts, no special classes • Efficient visual queries
22. Data Shader What’s new? • New project in the Bokeh GH org • https://github.com/bokeh/datashader • Visualize millions and billions of points • simple python scripts, no special classes • Efficient visual queries • Webinar: https://go.continuum.io/datashader
23. 2014 Timeline
24. 2015 Timeline
25. 2016 Timeline
26. Community Makes the Dream Work Damian Luke Bryan Fabio Mateusz Havoc Almar Peter Maggie Sarah Brendan Kevin
27. Community Makes the Dream Work New faces too: Damian Luke Bryan Fabio Mateusz Havoc Almar Peter Maggie Sarah Brendan Kevin
28. Community Makes the Dream Work New faces too: Damian Luke Bryan Fabio Mateusz Havoc Almar Peter Maggie Sarah Brendan Kevin !!!
29. Community Makes the Dream Work New faces too: Damian Luke Bryan Fabio Mateusz Havoc Almar Peter Maggie Sarah Brendan Kevin !!! Special Thanks: @merqurio, @justacec, @clairetang6, @dennisobrien
30. Community Makes the Dream Work New faces too: Damian Luke Bryan Fabio Mateusz Havoc Almar Peter Maggie Sarah Brendan Kevin !!! Special Thanks: @merqurio, @justacec, @clairetang6, @dennisobrien
31. Examples
32. Simple apps for data science Server
33. Concentrate on your work Server
34. Concentrate on your work Completely written in Python, no HTML or CSS or “webapp” coding Server
35. Concentrate on your work Completely written in Python, no HTML or CSS or “webapp” coding Server Simple python scripts, no special classes of frameworks
36. Concentrate on your work Completely written in Python, no HTML or CSS or “webapp” coding Server Simple python scripts, no special classes of frameworks Useful for exploratory analysis or sharing and deploying
37. Concentrate on your work Completely written in Python, no HTML or CSS or “webapp” coding Utilizes only out-of the box features of Bokeh 0.11.1 Server Simple python scripts, no special classes of frameworks Useful for exploratory analysis or sharing and deploying
38. Streaming Time Series https://youtu.be/NUrhOj3DzYs Streaming
39. Streaming Time Series https://youtu.be/NUrhOj3DzYs Streaming
40. Efficient data, Efficient code Streaming
41. Efficient data, Efficient code Plotting commands, application code, simulation, everything < 100 LOC Streaming
42. Efficient data, Efficient code Plotting commands, application code, simulation, everything < 100 LOC Performance enhancements (only send latest data points) Streaming
43. Efficient data, Efficient code Plotting commands, application code, simulation, everything < 100 LOC Performance enhancements (only send latest data points) Further features and improvements planned Streaming
44. <insert favorite JS> front, Python in the back Customize
45. <insert favorite JS> front, Python in the back Customize
46. Scratch Your Own Itch Customize
47. Scratch Your Own Itch Customize Extend any aspect of Bokeh with custom models
48. Scratch Your Own Itch Customize Extend any aspect of Bokeh with custom models Lowers the bar for trying out new ideas
49. Scratch Your Own Itch Customize Extend any aspect of Bokeh with custom models Users don’t have to wait on core team schedule Lowers the bar for trying out new ideas
50. Scratch Your Own Itch Customize Extend any aspect of Bokeh with custom models Users don’t have to wait on core team schedule The future: Atom-style user extension repository Lowers the bar for trying out new ideas
51. “Billions and billions…” Datashader
52. Pipelines for visual queries Datashader
53. Pipelines for visual queries Datashader Bokeh passes data directly into the browser, where users can interact with it
54. Pipelines for visual queries Datashader Bokeh passes data directly into the browser, where users can interact with it For very large datasets (hundreds of millions or billions of points), passing all the data into the browser is not feasible
55. Pipelines for visual queries Datashader Bokeh passes data directly into the browser, where users can interact with it Datashader renders into an off-screen buffer and can handle arbitrarily large datasets without downsampling For very large datasets (hundreds of millions or billions of points), passing all the data into the browser is not feasible
56. Pipelines for visual queries Datashader Bokeh passes data directly into the browser, where users can interact with it Datashader renders into an off-screen buffer and can handle arbitrarily large datasets without downsampling Powered by Dask and Numba For very large datasets (hundreds of millions or billions of points), passing all the data into the browser is not feasible
57. Speaking of Dask Dask http://dask.pydata.org/en/latest/
58. Speaking of Dask Dask http://dask.pydata.org/en/latest/
59. Speaking of Dask Dask http://dask.pydata.org/en/latest/ Comes with a Bokeh app for monitoring performance of distributed array tasks
60. Speaking of Dask Dask http://dask.pydata.org/en/latest/ Comes with a Bokeh app for monitoring performance of distributed array tasks CPU and memory and communications use across the cluster over time
61. Speaking of Dask Dask http://dask.pydata.org/en/latest/ Comes with a Bokeh app for monitoring performance of distributed array tasks “Invaluable for understanding and optimizing distributed computing performance.” CPU and memory and communications use across the cluster over time
62. Speaking of Dask Dask http://dask.pydata.org/en/latest/ Comes with a Bokeh app for monitoring performance of distributed array tasks “Invaluable for understanding and optimizing distributed computing performance.” “It's not something for which I need to go out and find a web developer to help me with.” CPU and memory and communications use across the cluster over time
63. Not just for Python RBokeh http://hafen.github.io/rbokeh Plays well with R ecosystem: HTMLwidget, RMarkdown…
64. Upcoming
65. 0.12
66. • Arrows, Labels, Colorbars 0.12
67. • Arrows, Labels, Colorbars • Legend and Hover improvements 0.12
68. • Arrows, Labels, Colorbars • Legend and Hover improvements • New high-level Chord chart 0.12
69. • Arrows, Labels, Colorbars • Legend and Hover improvements • New high-level Chord chart • New JS / TypeScript API 0.12
70. Real Soon Now BokehJS on its own
71. Real Soon Now BokehJS on its own Author in TypeScript or JavaScript Direct port of bokeh.plotting Available on NPM New high-level BokehJS Charts API
72. • Arrows, Labels, Colorbars • Legend and Hover improvements • New high-level Chord chart • New JS / TypeScript API • Foundational layout improvements • Custom server templates 0.12
73. • Computed data source columns • Arrows, Labels, Colorbars • Legend and Hover improvements • New high-level Chord chart • New JS / TypeScript API • Foundational layout improvements • Custom server templates 0.12
74. • Computed data source columns • Lots of bug fixes • Arrows, Labels, Colorbars • Legend and Hover improvements • New high-level Chord chart • New JS / TypeScript API • Foundational layout improvements • Custom server templates 0.12
75. • Computed data source columns • Lots of bug fixes • and then… • Arrows, Labels, Colorbars • Legend and Hover improvements • New high-level Chord chart • New JS / TypeScript API • Foundational layout improvements • Custom server templates 0.12
76. 1.0
77. • API guarantees (Semantic Versioning) 1.0
78. • API guarantees (Semantic Versioning) • Visual / Design pass 1.0
79. • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance 1.0
80. • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target 1.0
81. 1.0 (and beyond) • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target
82. 1.0 (and beyond) • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target • NumFOCUS fiscal sponshorship
83. 1.0 (and beyond) • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target • NumFOCUS fiscal sponshorship • LaTeX labels, Networks/Graphs
84. 1.0 (and beyond) • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target • NumFOCUS fiscal sponshorship • LaTeX labels, Networks/Graphs • Scriptable animations and transitions
85. 1.0 (and beyond) • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target • NumFOCUS fiscal sponshorship • LaTeX labels, Networks/Graphs • Scriptable animations and transitions • Bokeh “develop” mode
86. 1.0 (and beyond) • API guarantees (Semantic Versioning) • Visual / Design pass • BEP for project governance • July 2016 target • NumFOCUS fiscal sponshorship • LaTeX labels, Networks/Graphs • Scriptable animations and transitions • Bokeh “develop” mode • SVG output
87. Call To Action Install Bokeh and Data Shader and provide feedback • BSD license for everything (JS, Python, server) • https://github.com/bokeh/bokeh • https://github.com/bokeh/datashader