Kind of important in #datascience even though we mainly try to keep focus on the big picture. Specifically, the larger picture is comprised of many details. Try not to lose track of them.

**datatofu** @drmorrisj@mastodon.social · 12 Std.

12 Std.

datatofu @drmorrisj@mastodon.social

Some of these are not as relevant to #datascience but that makes the importance of others increase significantly

For example, while we may not care so much about load balancing a solution, data engineers typically handle system deployment, we are highly concerned with eventual consistency.

**datatofu** @drmorrisj@mastodon.social · 12 Std.

12 Std.

datatofu @drmorrisj@mastodon.social

It may be me but I feel like we spend a lot of time cleaning data in #datascience

If your #python script skills are subpar, clean data for a little while. Not only will you see improvements, you will also have a sense of accomplishment.

**datatofu** @drmorrisj@mastodon.social · 12 Std.

12 Std.

datatofu @drmorrisj@mastodon.social

#datascience at McDonald's

**STEMcoding Project** @stemcoding@mastodon.social · 13 Std.

13 Std.

STEMcoding Project @stemcoding@mastodon.social

#CSTA25 here we come! #CS4All #datascience

**GrowthBook** @growthbook@mastodon.social · 14 Std.

14 Std.

GrowthBook @growthbook@mastodon.social

We've found that different experimentation goals need different statistical approaches:

* Classic experiments when you need to learn precisely from costly variations
* Safe rollouts when you want to ship confidently with automatic rollbacks
* Bandits when you need to pick winners from many quick-to-build options

Article: https://blog.growthbook.io/flavors-of-experimentation-in-growthbook/
#OpenSource #Experimentation #Statistics #DataScience

GrowthBook Blog · 1 T.Flavors of Experimentation in GrowthBookGrowthBook provides you with 3 different types of experimentation for different purposes: Bandits for picking a winner among many, Safe Rollouts for releasing safely, and Experiments for learning.

**OpenAnalytics** @openanalytics@fosstodon.org · 15 Std.

15 Std.

OpenAnalytics @openanalytics@fosstodon.org

ShinyProxy 3.2.0 is now available!

The biggest step forward is the ShinyProxy Operator for Docker which brings the comfort of the Kubernetes operator to Docker-based deployments.

Also, the monitoring stack has been further enhanced.

You can find the details in this blog post https://oa.eu/YAE2B8 and the full release notes are available at https://oa.eu/yDPQ9l

#opensource #datascience #python

**OpenAnalytics** @openanalytics@fosstodon.org · 15 Std.

15 Std.

OpenAnalytics @openanalytics@fosstodon.org

RDepot is a solution for the management of R and Python package repositories in an enterprise environment.

In its latest release 2.6.1, new features include mirroring for Python in declarative mode, an improved design of resource pages, a repository server address validation and support for RST descriptions.

Learn more about these and other new features at https://oa.eu/YRmhsK

#opensource #datascience #python

**Jumping Rivers** @jumpingrivers@fosstodon.org · 15 Std.

15 Std.

Jumping Rivers @jumpingrivers@fosstodon.org

Are you ready to expand your knowledge in R, Python, Shiny, and Posit while becoming a more valuable asset to your team? Jumping Rivers is here to help you do just that with our free monthly webinar series designed for data professionals at all levels.

#rstats #webinar #upskill #datascience
https://www.jumpingrivers.com/blog/jumping-rivers-webinar-launch/

Jumping Rivers - Data Science Training and Consultancy · 1 T.Elevate Your Skills and Boost Your Career with Jumping Rivers Free Monthly WebinarsAre you ready to expand your knowledge in R, Python, Shiny, and Posit while becoming a more valuable asset to your team? Jumping Rivers is here to help you do just that with our free monthly webinar series designed for data professionals at all levels. These 55-minute sessions are easy to join online and packed with practical insights to help you sharpen your skills, tackle real-world challenges, and stay ahead in the fast-evolving data landscape. Whether you’re looking to improve your coding, learn best practices for deploying apps, or dive into machine learning, there’s something here for you.

**Posit** @Posit@fosstodon.org · 15 Std.

15 Std.

Posit @Posit@fosstodon.org

Still thinking about that bear? If you haven't yet, catch @hadleywickham on Ep. 1 of #TheTestSet! He dives into spreadsheets, R's early days, & the tidyverse origin.

Don't miss "Spreadsheets, bikes, and the accidental empire of R packages".

Listen at https://thetestset.co, on Spotify, or Apple Podcasts

#DataScience #RStats #PodcastLaunch

**Francesc Alted** @FrancescAlted@masto.social · 18 Std.

18 Std.

Francesc Alted @FrancescAlted@masto.social

#Blosc2 now runs directly in your browser! Leveraging the power of #WASM, #Pyodide, and #JupyterLite, you can harness efficient, adaptable compression through the web's universal interface. Experience the future of large-scale data processing without leaving your browser window.

Compress Better, Compute Bigger, Share Faster

#WebAssembly #DataCompression #WebDevelopment