Top Tweets for #bqplot
Interactive chart visualizations using #Python and #bqplot - visualizing S&P500 returns https://t.co/BUgwY23Vdb #100daysofcode #day15
#bqplot running entirely in the browser 😍🥰
JupyterLite is a JupyterLab distribution that runs entirely in the browser built from the ground-up using JupyterLab components and extensions.
Demo https://t.co/nFWYN84AFK
https://t.co/c2I14VIsyX
We have a new gallery website! 🥰
https://t.co/1QPHSGfGaJ
Powered by #Voila and #BinderHub
#Python @ProjectJupyter #bqplot @mybinderteam

@martinRenou @matplotlib @ProjectJupyter Nice! I need to try this out. I have been using #bqplot. Should I switch to #ipympl?
A fun experiment with #ipysheet, #ipyleaflet, #ipywidgets, #bqplot, #leafmap - A plot in a map in a cell in a sheet 😆
Notebook: https://t.co/73kPboEjW8
@benbovy @martinRenou @davidbrochart @maartenbreddels @SylvainCorlay
#geemap new feature - Creating histograms for #EarthEngine image with #bqplot using a few lines of code. Big thank you to GitHub user 3r3n-n for the contribution.
Pull request: https://t.co/qOuBiv85HQ
#mapping #dataviz #gis #jupyter #geopython #histogram
#geemap new feature - Generating transects along lines with Earth Engine without coding
Source code: https://t.co/lrcd0bUNtq
Notebook: https://t.co/c1nJe5Gjp9
#EarthEngine #GIS #remotesensing #python #jupyter #mapping #ipyleaflet #geospatial #dataviz #bqplot #geopython
@jstnbraaten @morganahcrowley Very useful! Thanks for sharing. I look forward to learning from these examples and implementing the #geemap chart module for providing similar functionality with #bqplot.
https://t.co/3vdPOOEg7Y
#geemap new feature - Creating linked maps with a few lines of code
Video: https://t.co/sAaMoTef3m
Notebook: https://t.co/ppNVon8exx
#EarthEngine #GIS #remotesensing #python #jupyter #mapping #ipyleaflet #geospatial #dataviz #bqplot #geopython #gischat #eochat
. @giswqs gives a fantastic introduction to #EarthEngine in this week's episode of The @MapScaping Podcast.
Thanks for your generosity Qiusheng!
#GIS #remotesensing #geospatial #dataviz #bqplot #geopython #gischat #eochat
listen here: https://t.co/ZMEUaFzEK7
#geemap new feature - Plotting #EarthEngine vector data with #cartoee
Video: https://t.co/HU53IZ2W3k
Notebook: https://t.co/r0Z9bMAMwE
@KelMarkert #GIS #remotesensing #python #jupyter #mapping #ipyleaflet #geospatial #dataviz #bqplot #geopython #gischat #eochat #cartography
#geemap new feature - Creating interactive charts from #EarthEngine FeatureCollection by feature/property
Video: https://t.co/dDyecZ1seh
Notebook: https://t.co/BdNv7UvOIA
#GIS #python #jupyter #mapping #ipyleaflet #geospatial #dataviz #bqplot #geopython #gischat #eochat

#geemap new feature sneak peek - Creating interactive charts for Earth Engine data
Video: https://t.co/EyBFvxwMdg
Notebook: https://t.co/lIVfQ4yMZy
#EarthEngine #GIS #remotesensing #python #jupyter #mapping #ipyleaflet #geospatial #dataviz #bqplot #geopython #gischat #eochat
Wouldn't it be cool if you could click and drag a data point on your scatter plot and see how it affects your polynomial regression? I'll show you how to do that and more in the next installment of "Learn Jupyter with Bloomberg" #datascience #bqplot #viz
https://t.co/t7mK4MtK9y
#EarthEngine Tutorial #34: Interactive extraction of pixel values and interactive region reduction
Blog: https://t.co/ZZJMlJ4Fot
YouTube: https://t.co/D0NC63KgF3
Notebook:https://t.co/IMD8ejON8a
@EarthEngineBot @geospatial_py #python #gis #geemap #ipyleaflet #hashnode #bqplot
#geemap now supports extracting pixel values interactively and saving values as CSV and shapefile.
Notebook: https://t.co/KQfODDrceQ
@EarthEngineBot @geospatial_py #EarthEngine #ipyleaflet #gis #remotesensing #landsat #mapping #bqplot #jupyter #python
As sponsors of @europython, we wrote about our internal #Python 🐍 community, our engineers' contribution to #opensource projects like #virtualenv, #tox, @ProjectJupyter, #bqplot & more, and our support for @ThePSF, @NumFOCUS & the global Python community.
https://t.co/38NbincBjF
#bqplot, the interactive plotting and charting library for #JupyterNotebooks, is becoming an independent #opensource project. As the first step in this process, we've moved it into its own organization on #GitHub.
https://t.co/dv2Iw6VL22
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