So, eine Englische Vorstellung hab ich, dann fehlt jetzt noch das deutsche #NeuHier.
Während ich auf Englisch Richtung #DataScience und #Python unterwegs bin, geht's im Deutschen eher in den Bereich der #FediEltern und #Verkehrswende. Ich bin viel mit dem #Fahrrad unterwegs - #mdRzA und zur Kita - und möchte mich sicher auf den Straßen bewegen können! Beruflich bin ich sehr interessiert an der #Krankenhausreform, die ist daher auch ab und zu Thema bei mir.
New instance, new #Introduction.
My background is in astrophysics. I worked in science policy in DC for about a decade: for my professional society, as a congressional fellow, and then at the Department of Energy Office of Science.
I changed careers to #DataScience in 2019 and now work in the private sector.
Blog posts, python projects, etc are all on my website: https://marcoshuerta.com/posts/
Ihr wollt mit mir zusammen arbeiten? 😍
Dann bewerbt euch als Research Data Architect (m/w/d) im Institut für Tierschutz und Tierhaltung 
#FAIR
#DataScience
#AnimalHealth
#Hannover
#tvod
#Jobs
#FLI
#BMLEH
#OneHealth
#AnimalWelfare
#Bioinformatics
Now I’ve been here a few weeks, found the fire exits, amenities and snacks, I should probably add an #introduction post.
Hello 👋 I’m Henry, and professionally I do #DataScience and #DataEngineering in the #Aviation industry, mostly with #python and #pyspark
Unprofessionally I spend my time #parenting two children along with my wife and occasionally manage to find time to play #guitar 🎸 improve my use of #emacs and hack at too many half forgotten #maker projects.
My weekly newsletter is out 👇🏼
Project: SQLGlot
New tutorials
Book: Statistical Analysis with Python
https://ramikrispin.substack.com/p/statistical-analysis-with-python
What can Inka Quipus teach us about data management?
A blog post about the ingenious methods used by the ancient Inca culture to encode information and what insights we might draw from them today for #datascience
The value of metadata, human readibility, schema flexibility and append-only #database? Its all there 🤓
https://www.openriskmanagement.com/what-inka-quipus-teach-us-about-data-management/
New course: Just Enough Python for Data Scientists!
This is a practical, code-first course that teaches the Python you actually need for data work, plus the engineering practices that make your work repeatable and sharable. It is not a survey of every Python feature or a whirlwind tour of ML. You’ll build and run real code, improve existing notebooks, and package useful utilities so teammates can uv pip install them. #python #datascience @mkennedy
https://training.talkpython.fm/courses/just-enough-python-for-data-scientists
🎙️ Neue Episode: Data Science in der Praxis
Zu Gast: Mira von https://www.inwt-statistics.de/ – Data Scientist, CEO und Podcasterin. Auch wieder mit dabei @oryon_dominik@mastodon.social und @jochen@wersdoerfer.de.
Wir sprechen über CRISP-DM, XGBoost vs. TabPFN, Feature Engineering, SHAP, MLOps und warum die Modellierung oft nur ein Teil ist.
Thank you @pyOpenSci! 🙏 These 6 months as EiC have been incredibly rewarding - from reviewing innovative tools to working with an amazing community of developers. Excited to continue contributing to making computational science more accessible! #OpenSource #Python #DataScience
My book "Building reproducible analytical pipelines with #rstats" is done! Buy a drm-free epub or pdf @leanpub : https://leanpub.com/raps-with-r/
Physical https://amazon.com/dp/B0C87H6MGF (check your local market place)
Read for free forever: https://raps-with-r.dev
Check out #WorkshopsForUkraine organised by Dariia Mykhailyshyna! Past workshops covered topics on #Python, #Rstats, #Rust, and various #DataScience applications. You can register for the upcoming workshops and donate to get recordings and all of the materials of the previous workshops. You can also sponsor participation of a student. Full list of past and upcoming workshops at https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine
Next at #WorkshopsForUkraine:
"Building fully reproducible #DataScience environments for #R #Rstats and #Python with ease using Nix, rix, and rixpress", by Bruno Rodrigues @brodriguesco (head of the statistics department at the Ministry of Higher education and Research in Luxembourg), Friday, June 20th, 6 pm CEST (note non-standard day of the week). Register or sponsor a place for a student by donating to support #Ukraine. Details: https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.i5kscpfah5at
💥 Downtime isn’t an option.
In this new DZone article, learn how to proactively prepare your #PostgreSQL database for disaster recovery—ensuring high availability, data integrity, and business continuity.
🔗 Read now: https://hubs.la/Q03qGDPh0
For more information on pgEdge, visit: https://hubs.la/Q03qGHYs0
#tech #data #database #developer #opensource #pgEdge #datascience #dataanalytics #devcommunity #dba
Hey #Python and #ScienceData buffs! #EuroSciPy 2024 is coming to #szczecin #Poland from August 26-30! Join us for an exciting event filled with learning, networking, and fun in a city known for its beaches and rich history.
We'll be at the Maritime University of Szczecin, covering topics like #DataScience, #highperformancecomputing , #ScientificApplications, and #machinelearning Proposals are open until June 2nd, see
https://www.euroscipy.org/2024/program.html
Mark your calendars!
Fine-Tuning Local Models with LoRA in Python
This one-hour tutorial, by NeuralNine, focuses on the theoretical and practical approach for fine-tuning LLMs with LoRA using Python, and it covers:
✅ Theory & Mathematics
✅ Fine-Tuning on Math Problems
✅ Evaluation of Math Problems
✅ Fine-Tuning on Custom Data
✅ Evaluation of Custom Data
Every day is an #InternationalEducationDay
at the Open Risk Academy. A range of free online resources spanning topics from #datascience
to #riskmanagement
and from #financialliteracy
to #sustainablefinance
Aiming to break down and make accessible technical concepts using #opensource
tools.
There are currently 636,000 #python projects on #pypi
By the time you read this there will be several more, to the tune of one every few minutes
#opensource tools, algorithms, frameworks for #datascience, #machinelearning, #webdev and much, much more, in principle accessible to everybody
What does this mean, where will this lead?
Your guess as good as mine. But this is emphatically *not* the world we used to live-in, until recently
Remember this when you are gloomy
I wrote an article about all the amazing OSS projects we are working on at Anaconda this year. #Python #OSS #DataScience #AI https://www.anaconda.com/blog/anaconda-oss-growth-update-2025
The Design Philosophy of Great Tables
great_tables & gt are python & R packages to build great looking, useful, data display tables. What guides their design philosophy? Richard Iannone & Michael Chow explore the millennia of history that went into these packages' design.
https://posit-dev.github.io/great-tables/blog/design-philosophy/
Excited to share that my talk 🎥 on Next-Generation Data Science Education with WebAssembly Technologies from pyOpenSci's Fall Festival 2024 is now available! Resources and links follow in this thread. 🧵
Teaching data science, stats, or programming? Quarto Live lets you transform lessons into explorable, interactive experiences—all in your students browsers! 🌐🔥
🔹 Python in the browser (WebAssembly magic)
🔹 Real-time code execution for students
🔹 Seamless Quarto + Observable integration
🔹 Instant feedback & interactive visuals
👀 Watch the video here → https://youtu.be/7q1Z84ssxg0
#OpenScience #Quarto #DataScience #Education
📢 Quarto Live: A Game Changer for Interactive Docs!
@gws (developer of Quarto Live) explains how WebAssembly lets you run Python & R in the browser—no server, no setup! 🚀
💡 What’s new?
🔹 Fully interactive code blocks in Quarto docs
🔹 Real-time coding exercises with auto-checking
🔹 Works on mobile & low-powered devices
📺 Watch now → https://youtu.be/W_a80br7t2A
#Quarto #DataScience #WebAssembly #FOSS
Since I'm new here, I guess I should do an #introduction .
I'm a free software developer. Wrote a P2P system called Firestr back in the day (https://mempko.com/firestr/firestr.html).
I still code a lot. Lots of experience with #C++, #MachineLearning, #AI, #DataScience, #P2P, and #Decentralized systems
Follow me on github if you have a chance. https://github.com/mempko