I have struggled with many IDEs with their lack of good integration of interactive #Python.
VSCode and its derivatives are nice, but they do not play ball with my workflow. I can get what I want to work only partially, and it is much slower than my current workflow. Running one line at a time in an interactive window is excruciating.
Isn't it common in #DataScience and #GIScience to have an interactive workflow with a lot of back and forth reiterations with multiple line executions?
Enhance your R data visualisation by using the {reactable} and {sparkline} packages. Learn how to include sparklines inside HTML tables in our latest blog post by our Data Scientist Osheen MacOscar.
#DataScience #RStats #DataVisualisation #Sparklines #Reactable
https://www.jumpingrivers.com/blog/sparkline-reactable/
Discover alternatives to the popular Python library Pandas for data science workflows! While Pandas is user-friendly, it can struggle with large datasets due to high memory consumption and lack of native parallelisation support. Explore Dask, Polars, and PyArrow as powerful alternatives that offer faster and more efficient data processing, catering to big data needs with parallel computing and better data interchange. #DataScience #Python #DataScienceTools #BigData https://www.kdnuggets.com/python-tooling-beyond-pandas-libraries-to-broaden-your-data-science-toolkit
Mastering Bash shell commands can greatly simplify tasks in data science, boosting efficiency and productivity. Discover the 10 essential Bash commands for data scientists, from file management with `ls` to data manipulation using `awk` and `sed`. Enhance your workflow and focus on insights with these powerful tools. #DataScience #BashShell #Programming #Efficiency #TechTips https://www.kdnuggets.com/10-essential-bash-shell-commands-for-data-science
We (NHS-R Community Team) are seeking volunteers to host/co-host webinars and/or workshops throughout the year. This is a fantastic opportunity to share your knowledge and skills whilst building a community of practice for data analysis and data science using open source software.
If you would like to volunteer or recommend someone within your network to contact, please email the NHS-R Community inbox (nhs.rcommunity@nhs.net).
NHS-R Community Updates
Don’t forget to check out the NHS-R Community website (https://nhsrcommunity.com/), Slack (https://postcard.nhsrcommunity.com/) and YouTube channel (https://www.youtube.com/c/nhsrcommunity) for the latest community updates, events and resources!
From the @DSLC 
chives:
"Q&A with Hadley Wickham (advr06 mshiny05 r4ds07 r4ds08 ggplot2_02 rlang01
tidyversedocs01)" https://youtu.be/HnJ3ZY1seY4 #RStats
"DevOps for Data Science: Enterprise Networking" https://youtu.be/AQOFK1P-_V0
#devops #RStats
"JS4R: A Realistic Widget" https://youtu.be/YjY8YQNh9J0 #RStats
#JavaScript
Visit https://dslc.video for hours of new #DataScience videos every week!
Dear LazyWeb: is there a C/C++, #RustLang or #Zig equivalent of #SciPy’s `stats` module for statistical analysis? Namely:
• a collection of common PDFs (probability density functions);
• MLE (maximum likelihood estimation) for these common distributions;
• KDE (kernel density estimation).
SciPy’s API is a pleasure to work with. Anything that comes close but usable from C/C++/Rust/Zig would make my life so much easier. Boosts appreciated for visibility.
Coffee and Coding
Do you have an interesting piece of code/work to showcase, an opportunity for collaboration or a code dilemma you would like help with? 
We would love to hear from you at Coffee and Coding – join the NHS-R Community Slack for more info (https://postcard.nhsrcommunity.com/)!
Episode 198 of the @rstats @rweekly Highlights podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/198
Unique documentation for your R package (Murielle Delmotte) @thinkr 
LaTeX typesetting on graphs with {xdivr} (Paul Murrell)
h/t @mike_thomas & @batool664@x.com 
I’m in Berlin at the #JMPdiscoverysummit.
John Sall, Founder and Chairman of JMP explains how JMP enables engineers to move beyond routine problem solving by providing powerful platforms for statistical analysis, process optimization, and data visualization.
From the @DSLC chives:
"Efficient R Programming: Efficient workflow" https://youtu.be/TpPFbZ0Z0-k #RStats
"Deep R Programming: Unevaluated expressions (*)" https://youtu.be/RNCzYa4PmEk
#RStats
"Tidy Modeling with R Book Club Ch17: Dimensionality reduction"
https://youtu.be/ewNOYUwKwCM #RStats
"Tidytext: The tidy text format" https://youtu.be/tPsrc0bmLW8 #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Wir suchen Sie als IT-Administrator/in (m/w/d)
Mehr Infos hier: https://www.bkg.bund.de/SharedDocs/Stellenangebote/BKG/DE/250406-TI2_042025-EG11.html
Wir freuen uns auf Ihre Bewerbung bis zum 06.04.2025.
Ha... Had an instructor ask to disable downloads for a #datascience #Jupyter Hub instance because they'll be working with some sensitive data. Of course, the feature for that in RStudio is a posit Pro thingy... But the export path is uri path based and my coworker already hacked an ingress that logs you out. Now downloading files ALSO logs you out.
*insert maniacal laugh here*
Query databases with plain English!
Powered by CrewAI, this Natural Language to SQL tutorial:
Translates text into SQL Runs queries on SQLite Returns clean, structured results
Read more on how AI is changing database accessibility! 
https://medium.com/@omkamal/building-a-natural-language-database-query-tool-with-crewai-9bfc15b95dbe?sk=ec74f456f3011373412c719286e79367
This week in R: data.table vs dplyr comparison, rOpenSci Champions Program 2025, and custom R package documentation with pkgdown #rstats #datascience
This week in R: data.table vs dplyr comparison, rOpenSci Champions Program 2025, and custom R package documentation with pkgdown #rstats #datascience
Most users are not math, stats, or tech inclined. E.g., consider #healthcare cases or otherwise predominantly med / biomed folk. Hence, users want reassurance that the model is performing as expected and considering the relevant characteristics in the decision-making process. For example, dominant features, correlations, why does the model return the predictions it does, or any other feature of #XAI
https://datatofu.wordpress.com
Tags: #ai #linux #python #datascience #tech #rstats #opensource
Two talks lined up for the 27th March. Details coming soon!
From the @DSLC chives:
"Mastering Shiny: the golem package" https://youtu.be/Vq2GKCbfpTI #RStats
"usethis docs: Tidyverse development" https://youtu.be/x6Q8PhsEO4Q #RStats
"An Introduction to Statistical Learning with Applications in Python: Linear
Regression" https://youtu.be/OLpX4Oks11U #AI #DeepLearning #pyData #artificialIntelligence
Visit https://dslc.video for hours of new #DataScience videos every week!
