From the @DSLC ​chives:

  Fundamentals of Data Visualization: Directory of visualizations & Color scales https://youtu.be/b4ugMPyj1gA #DataViz #PyData #RStats

 R for Data Science: Web scraping https://youtu.be/Hs928CH-_E4 #RStats

 Statistical Rethinking: https://youtu.be/2G28tDpiVUY #RStats

Support the Data Science Learning Community at https://patreon.com/DSLC

Fundamentals of Data Visualization: Directory of visualizations & Color scales (dataviz01 5 4)

YouTube

Will we finally get nice html representations of @movingpandas Trajectories and TrajectoryCollections?

Inspired by #pydata #xarray 🤩

WIP 👩‍💻 : https://github.com/movingpandas/movingpandas/issues/293

Any feedback / ideas welcome!

#GISChat #MovementDataAnalysis

Why R and PyData Should Leave Meetup Behind

With huge audiences and effortless reach on LinkedIn, community growth no longer needs a paywall.

From the @DSLC ​chives:

 Data Science in Education Using R: Week 1: Introduction https://youtu.be/b1f_Jrxt-Mc #RStats

 R for Data Science: Pipes https://youtu.be/FDs2wxDRRSA #RStats

 Practical Python Programming: Packages https://youtu.be/sJo-aSzjObA #PyData

 R Packages: The whole game https://youtu.be/Zogh4Py4Uag #RStats

Support the Data Science Learning Community at https://patreon.com/DSLC

Data Science in Education Using R Book Club: Week 1: Introduction (2021-02-10) (dsieur01)

YouTube

Next #PyDataVenice Meetup 🚀🚀🚀

🕖 We’ll meet #InPresence on Thursday, April 30 at 7:00 PM.
🏠 We’ll be hosted by Anda Venice Hostel in the Medusa Room and, for those who cannot join us, it will also be on YouTube in #streaming.

Info & Reservations 👇
https://www.meetup.com/pydata-venice/events/312820080/

#PyDataVE #26 #Meetup #PyData - #ClimateNetworks & #Trading

Y termina Sergio Paniego de @[email protected] sobre fine-tuning con TRL y OpenEnv #PyDataMadrid #PyData
Y sigue el equipo de Dentsu, quienes nos van a hablar de sus desafíos poniendo un agente en producción #PyDataMadrid #PyData
Como siempre, empieza @[email protected] introduciendo #PyDataMadrid, #PyData y @[email protected]