Fábio Seixas

dev.

[Fábio Seixas @FbioSeixas2]

@rinha

[Fábio Seixas @FbioSeixas2]

Pronto, depois de quase 15 horas acumuladas, consegui chegar onde o @rdrnavarro chegou em 2 horas.

https://t.co/1Wa7XDd0oS

@rinha

[Fábio Seixas @FbioSeixas2]

No discord, vi uns treco sobre tail optimization e memoization.

Esse vai ser o próximo passo.

Sem grandes espectativas. Just fun.

[Emil Hvitfeldt @Emil_Hvitfeldt]

I'll be adding a whole bunch of new palettes to {paletteer} tonight! 🌈

Read this thread if you want to see the new colorful goodies coming your way!

❤️💙💚🧡💛💜

#rstats

[Alison Presmanes Hill @apreshill]

I'm thrilled to share that the @RStudio Education team has a shiny 🆕 #blogdown website 🎉: https://t.co/NpiISRGRiG

Come for the content and resources for learners ➕ teachers, stay for the tiny drawings by @dcossyle 🎨

Welcome post here: https://t.co/4cqwNsZ38v

[Marcelo Ventura @thegoodventura]

Life always give you an opportunity to give back. So, this is going to one of my best students in two days. Thanks @hadleywickham for everything. #rstats #r4ds 🇧🇷

[Prof. Feynman @ProfFeynman]

• See failure as a beginning.
• Never stop learning.
• Assume nothing, question everything.
• Teach others what you know.
• Analyze objectively.
• Practice humility.
• Respect constructive criticism.
• Take initiative.
• Give credit where it's due.
• Love what you do.

[Prof. Feynman @ProfFeynman]

1. See failure as a beginning.
2. Never stop learning.
3. Assume nothing, question everything.
4. Teach others what you know.
5. Analyze objectively.
6. Practice humility.
7. Respect constructive criticism.
8. Take initiative.
9. Give credit where it's due.
10. Love what you do.

[Fábio Seixas @FbioSeixas2]

@waterdoc_sharda @KSUGradSchool @KStateBAE Great opportunity.

[Max Kuhn @topepos]

All of the analysis R code for our Feature Engineering and Selection book is now on GitHub at https://t.co/f8shfphAEg

The book can be found at https://t.co/8Zwzqs4LcW

#rstats #DataScience #statistcs #machinelearning

[Emily Robinson @robinson_es]

Data scientist career tip from @quaesita:

“Before you take a job, ask your employer if they have data. If not, you’ll need to become a data engineer.

Then ask if they make decisions with that data. If they don’t, your analyses/models won’t be used.“

[Simply Statistics @simplystats]

10 things R can do that might surprise you https://t.co/onxJXz99KK