R-Ladies & PyLadies – Bringing the Communities Together
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Together with PyLadies Tunis and PyLadies Munich we kicked off a fantastic event last Wednesday – and I’m still overwhelmed and touched by the impressions.
When I started the R-Ladies Cologne chapter in 2021, I envisioned an event that seeks to bring both R and Python communities together. From my experience, both communities are so generous and helpful and I wanted to overcome the (why the heck this ever started existing) “divide” between both languages. Instead, I wanted to show how great multilingualism can be and how Python and R can complement each other. And I believe that, with the help of our amazing speakers Rhian Davis and Deena Gergis, we made a step towards this direction.1 If you didn’t have a chance to attend our event, here’s a short wrap-up that hopefully inspires you ✨
Rhian showed us how she programs bilingually at work and told us how Jumping Rivers overcomes possible hurdles and benefits from working as a bilingual team. And most importantly, as Rhian said, it’s not about the language you should think of but of the great people you will be working with 😊
Really enjoyed the R-Ladies💜PyLadies event tonight. The quiz was super fun🤓
Thanks to @rladies_cologne, @PyLadiesTunis &@pyladiesmunich for organising!
🖼️ Slides: https://t.co/470yQWahT9
📦Diffify: https://t.co/lqMfEVG7ZH
✨ Shiny Conference: https://t.co/RgK4lQImJu#RStats— Rhian Davies (@StatsRhian) July 27, 2022
Deena then walked us through the MLflow framework and showed us how to use it in action and how it can be applied to both languages. MLflow is a powerful library that allows you to manage end-to-end machine learning cycles. Deena showed us a demo of a typical workflow both theoretically and practically. If you’re up for trying it out yourself, have a look at Deena’s GitHub repository where you’ll get everything you need.
It's so great to learn about #MLflow with Deena 💜 #rstats #python #pyladies #rladies #rstats pic.twitter.com/HMWx6ffS6D
— R-Ladies Cologne (@rladies_cologne) July 27, 2022
Along with the input talks, we had two quiz rounds showing the audience how similar both languages are and telling some tips and tricks.
🌟 @cosima_meyer is leading #Python/R quiz! So many insights about both language with a demo! ✨🐍#python #programming #pyladies #dataScientist #DataScientists pic.twitter.com/y5egu7GQF3
— PyLadies Munich (@pyladiesmunich) July 27, 2022
If you want to revisit them yourself, here are the questions and answers (and a bit more) 🤓
What are (originally) specific IDEs for Python and R?
While you can also work in other languages in RStudio, it was originally developed for R (as the name tells, but it will be soon renamed to Posit – signalling it’s inclusiveness 💜)
Which packages can you use to call the other language?
If you want to see RPy2
in action, check out the question with the Jupyter notebook – we have a demo there!
How do you assign objects in R and Python? (Good coding style 😉)
Teams may have varying preferences and working guidelines, but according to Hadley Wickham’s style guide, it’s preferred to use the <-
operator for assignments in R (although =
also works in R).
What is the main repository for libraries?
If you ever wanted to develop a R package or Python library yourself and contribute to the repositories, follow the links to get detailed guides how to do it.
Can you use R in a Jupyter Notebook?
And, as promised, here’s a short demo showing you how to use the RPy2
library in action.
With which index does an array start?
All you have to remember (and it can easily become the source of some errors when switching between both languages: the R index is 1-based, Python’s index is 0-based. If you want to know more, here’s a short post by Benjamin Smith .
What are the commands to use to know the type of a variable in R and Python?
Here’s more on the class() function in R and the type() method in Python.
@mounaa_belaid is running a quiz right now to give away three e-books from @OReillyMedia 📚📚📚📚
Round 1: https://t.co/pE8YoDMKPN pic.twitter.com/SIgC6O99yh
— PyLadies Munich (@pyladiesmunich) July 27, 2022
We are incredibly thankful to aiven and O’Reilly for sponsoring the prizes for our quiz.
And last but not least, big shoutout to my co-organizers Amal Tlili, Hédia Tnani, Laysa Uchoa, and Mouna Belaid – organizing this event with you showed me once more how fun it is to work with people from the community and how much dedication there is. It was a big pleasure starting this journey with all of you 💜
We had a super fun night yesterday with @StatsRhian, Deena Gergis, @pyladiesmunich and @PyLadiesTunis!💜
Thanks for making this event possible 🤩
We also promised resources on #package programming 👩💻:
🐍 #python: https://t.co/odrjwKUJx9 #rstats: https://t.co/HKG3H6LQBh pic.twitter.com/dfJyqkGRBz
— R-Ladies Cologne (@rladies_cologne) July 28, 2022
I’m very much looking forward to what’s coming next!
If you’re up for more material, we collected everything here:
This also fits so nicely with the topics discussed at this year’s rstudio::conf2022 as well as at JuliaCon 2022. It shows, how important it is for us to think beyond the “superiority” of one language over another but to embrace different approaches and treasure them. ↩︎
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