#PyData

R vs. Python: What's the best language for Data Science? Read more on RStudio Blog: #RStats #python #pyData #DataScience #OpenScience #OpenData

if you're a data 'anything' and wonder "why is R still a thing?" maybe this answer I wrote on Reddit will help #RStats #pydata #datascience

#Python’s built-in subprocess is powerful for executing external commands. However, it also introduces significant #security risks if misused. Legacy subprocess functions carry a high severity rating. Solution check and improve #pydata #infosec

I'm excited to announce pygris, a new #Python package to help you work with @uscensusbureau geographic datasets (and other resources)! Read the docs: Try out pygris on Colab: Source code: #pydata #gischat

Python is the best language for statistical analysis and data science hands down. I'm currently porting all my reproducible pipelines (R in Nix shells) over to Jupyter notebooks (pip is all you need) running inside docker containers long live Pandas! this now a #pydata account

RStudio v1.4 Preview: added support for python. #pydata #rstats

New in @rstudio 1.4 preview: select Python interpreters, see your Python data in the Environment pane, and view plots from matplotlib & seaborn.

Visual explanation of matplotlib syntax -- so helpful for learning this library! #DSLearnings #pydata #py4ds

** new blog post **: many models 📊 workflows in python 🐍 how to do tidyverse-style EDA in #python with the #pydata stack

R & Python: A Love Story Help your Data Science teams tap into the strengths of R & Python with RStudio's open-source and professional products. Watch this space, much more to come soon. #RStats #python #pyData #DataScience #OpenScience #OpenData

New episode of the #PyData Deep Dive #Podcast with Matt Rocklin: "Parallel Computing & Founding #OSS Companies" Tune in to learn about @dask_dev, @rapidsai, and his new start-up Coiled Computing (also on iTunes, Spotify etc). @mrocklin @CoiledHQ @NumFOCUS

Whoa—my book is up for pre-order! Model to meaning: How to interpret Statistical & ML Models in #RStats and #PyData The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit Note: The web version stays free forever.

I'm going to be releasing > 1,000 pages of material with > 300 exercises covering the entire Pandas library over the next couple months in this repo - #datascience #pydata

reticulate: R interface to Python Comprehensive set of interoperability tools including R Markdown Python engine #rstats #pydata

Guess what? PyData NYC 2017 videos are up! Enjoy: #PyDataNYC #PyData #Python

ICYMI my "Welcome to #QuartoPub " workshop materials and recording are online! Slides: Recording: What other kinds of Quarto webinars or content would like to see? #RStats #PyData #DataScience

Heard about Shiny for Python? Want to try it out? 🐍 Check out this blog post from @winston_chang with resources, videos, and more info to get started! #python #pydata

Pandas documentation includes a handy guide on how to translate #dplyr verbs into pandas equivalents. 😍 #DSLearnings #pydata #rstats

RStudio v1.2 Preview: Enhanced #rstats + #pydata interop with reticulate —

Getting a big scientific prize for open-source software @scikit_learn #pydata

We just open-sourced our #datascience project template! Sane, flexible defaults for your #Python analyses: #pydata