In #Python3, the print function has options
— Daily Python Tip (@python_tip) June 18, 2018
* 'sep' to separate the arguments
* 'end' to be printed after the last argumenthttps://t.co/Jm8LgiGnAJ pic.twitter.com/V56ARBc7ku
In #Python3, the print function has options
— Daily Python Tip (@python_tip) June 18, 2018
* 'sep' to separate the arguments
* 'end' to be printed after the last argumenthttps://t.co/Jm8LgiGnAJ pic.twitter.com/V56ARBc7ku
👨🏫 brilliance: Ss wrote tutorials by topics, and they're 🌟!
— Mara Averick (@dataandme) June 18, 2018
"UO Psychology Data Science Gallery" by @robchavezhttps://t.co/c7X5AiCP1b #rstats pic.twitter.com/eHekzqHTZP
Right?! 😁 And for #rstats friends - if you want to obtain the source code for a function, all you have to do is:
— 👩💻 DynamicWebPaige @ $HOME 🏞 (@DynamicWebPaige) June 17, 2018
<library_name>:::<function_name> pic.twitter.com/cxLqF3DzOZ
🐍 #Python family: if you ever want to inspect the source code for a module that you've imported, but don't want to waste time hunting around for the .py file:
— 👩💻 DynamicWebPaige @ $HOME 🏞 (@DynamicWebPaige) June 17, 2018
import inspect
import pprint
pprint.pprint( inspect.getsource( <module_name>)) pic.twitter.com/8AMHNMDt0u
Also a base #rstats matrix approach pic.twitter.com/GV16iFGRoV
— David Robinson (@drob) June 17, 2018
A #tidyverse simulation to demonstrate that if you wait for two heads in a row, it takes 6 flips on average, while you wait for a heads then a tails, it takes 4 flips on average
— David Robinson (@drob) June 17, 2018
h/t @CutTheKnotMath #rstats pic.twitter.com/V0zgOmCy7t
This fig in the Appendix of @kjhealy's data-viz 📕 is great!
— Mara Averick (@dataandme) June 17, 2018
👉 "How to read an R help page"https://t.co/n2u8b0lhyP #rstats pic.twitter.com/RJHdAS0Uo1
For anyone who asked for my slides on Efficient (and Interactive) Deep Learning with Humans in the Loop from Thursday at @TechnionLive (or who didn't but might like them). I posted them to my website here: https://t.co/5RAxQaTHIG
— Zachary Lipton (@zacharylipton) June 17, 2018
💪 Pipeline mgmt, for reproducible research…
— Mara Averick (@dataandme) June 17, 2018
👨🔬 "The prequel to [@wmlandau's] drake R package" https://t.co/mVn0HNecqu via @rOpenSci #rstats pic.twitter.com/ffV1I0H02z
This is the best walk thru of our NLP transfer learning paper yet! 😀
— Jeremy Howard (@jeremyphoward) June 17, 2018
Thanks @yashuseth for taking the time to write this up and share it. https://t.co/3BrwIP5Goa
Read the paper Universal Language Model Fine-Tuning for Text Classification by @jeremyphoward and @seb_ruder. Exciting times in the NLP world. Have written a blog post explaining the working of the ULMFiT method. You can find it here - https://t.co/45nxVW6dJD
— Yashu Seth (@yashuseth) June 16, 2018
learn deep learning: https://t.co/MhwV380FWg
— Rachel Thomas (@math_rachel) June 16, 2018
computational linear algebra: https://t.co/CY7Gu8IXmZ
data science career advice: https://t.co/jKNchZdtA8
myths about AI: https://t.co/DPlLoOLF63
biased AI: https://t.co/3qOtervksj
debunking the pipeline myth: https://t.co/qIW64dWkUg