Faculty of Intelligent Computing and Data Science
VinUniversity

VinUniversity is hiring faculty of Intelligent Computing and Data Science

See the full job description on jobRxiv: https://jobrxiv.org/job/vinuniversity-27778-faculty-of-intelligent-computing-and-data-science-2/

#braincomputerinterface #dataengineering #ScienceJobs #hiring #research
https://jobrxiv.org/job/vinuniversity-27778-faculty-of-intelligent-computing-and-data-science-2/?fsp_sid=1929

If you’re writing test cases, I strongly suggest using pytest’s parametrize feature. It helps you save both time and code. In this article, @nedbat explained how to use it with a clear example.

https://nedbatchelder.com/blog/202508/starting_with_pytests_parametrize.html

Two often-overlooked Python string methods are startswith() and removeprefix(). @treyhunner covered them with nice examples. Remembering these can help you write cleaner and more readable code.

https://www.pythonmorsels.com/prefixes-and-suffixes/

Come work with us at the City of #CapeTown - https://uct.ac.za/sites/default/files/2025-08/com-e25810-datascientist-jpal-saldru-soe.pdf

The job says data scientist, but really this is a #CivicTech #DataEngineering position. We run a decent Open Source, modern data stack, but what sets us apart is our great culture - family first, psychologically safe, curiosity encouraged and reward!

Would appreciate any boosts for reach!

What makes tools truly useful?

Episode 2 of #TheTestSet features Wes McKinney (Part 1of 2!) sharing his experience building Pandas & Arrow, plus his surprising past in speedrun communities.

Tune in for his story at thetestset.co, on Spotify, or Apple Podcasts

@hynek released another great video on uv, where he explained how he uses the just tool to store commands in a cross‑platform, portable way for everyday tasks like installing or refreshing virtual environments, running tests and code checks and even development tasks like sending requests.

https://www.youtube.com/watch?v=TiBIjouDGuI

Ever wonder about the mind behind Pandas & Apache Arrow? Ep. 2 of #TheTestSet (Part 1!) unpacks Wes McKinney's journey – including his speedrunning past! What makes good tools good?

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

#dataengineering If you needed to use a data lake with Redshift, would you use Iceberg, given some native support, over Delta Lake, which is arguably a better format?

Asking for a friend who is me

One does not simply build reports on OLTP data…

This week on The Drill Down with Ahmad & James, our special guest
Kristyna Ferris will be presenting a session titled "The Fellowship of the Star Schema: Transforming OLTP Data for Power BI"

This session is packed with:
- Clear distinctions between OLTP & OLAP
- Tips for building Power BI-ready models
- A sprinkle of Slowly Changing Dimension magic

Whether you’re a data wizard , business hobbit , or SQL ranger — this is your quest.

Join us LIVE on LinkedIn | Wednesday, July 2nd @ 2PM Central
https://lnkd.in/eWh4SsBb

While indexes are useful, relying on them too much can be like Maslow's hammer. @treyhunner has shown some fantastic alternative methods for common tasks without constantly needing to use indexes.

https://www.pythonmorsels.com/avoid-indexes-in-python/

If anyone knows Data Engineers looking for work, this is our next hire: https://www.linkedin.com/posts/dealingwith_dataengineering-hiring-startuplife-activity-7338312558455476224-jvGh

https://billee.applytojob.com/apply/iTXqZOqOUu/Senior-Data-Engineer

Last month, two new Rust-based Python type checkers, pyrefly and ty were released. Both of them are in the alpha stage. While they share some similarities, they differ significantly in design and features. In this article, Edward Li dove deep into both tools, highlighted their differences and what makes each one unique.

https://blog.edward-li.com/tech/comparing-pyrefly-vs-ty/

Slides zu Legal Data Engineering

Was ist Legal Data Engineering? Wie sieht die Praxis juristischer Daten in Deutschland aus? Welche rechtlichen Probleme ergeben sich im Zusammenhang mit Legal Data Engineering? Diese Präsentation bietet eine Einführung zu Legal Data Engineering und sucht Antworten auf diese Fragen.

Slides: https://zenodo.org/records/15575231/files/Fobbe_2025-05-28_Legal-Data-Engineering.pdf?download=1

Legal Data Engineering ist der Schwerpunkt eines jeden Legal Data Science Projekts. Kern von Data Engineering ist der ETL-Prozess: Extraktion, Transformation und das (Hoch-)Laden von Daten. Die Slides bieten dazu einen allgemeinverständlichen Überblick.

Weitere praktische Themen sind die Verfügbarkeit juristischer Daten in Deutschland (insbesondere strukturierter Daten und Programmierschnittstellen), Probleme bei der Tokenisierung in Large Language Models und die Fehlerkennung von Gen-Namen in Microsoft Excel.

Bei den rechtlichen Fragen des Legal Data Engineering behandle ich die tradierte Rechtslage, das neue Datennutzungsgesetz (DNG) und Bayern als Negativbeispiel einer verschlossenen juristischen Datenkultur. Eine Diskussion der Datenschutzklage gegen OpenJur und der Open Data-Klage der Gesellschaft für Freiheitsrechte (GFF) gegen die Bundespolizei klären über aktuelle Entwicklungen in diesem Rechtsbereich auf.

A #sql cheatsheet

May be handy in #datascience #dataengineering or #dataanalytics contexts

#OpenToWork | Data Engineer | ETL & Contrôle Qualité
CV PDF : http://gabriel.chandesris.free.fr/gabysblog/docs/CVGabrielChandesris.pdf
Expert #ETL #Python #SQL #DataQuality #BigData
Prêt à optimiser vos pipelines de données !
RT plz #i4emploi #Recrutement #Emploi #DataEngineering #Spark #Scala ...

https://www.europesays.com/2042629/ Interview Kickstart Updates Best Technical Interview Preparation Course For Data Scientists 2025 #Data #DataAnalysis #DataEngineering #DataScientists #DataStorytelling #DataWrangling #ExploratoryDataAnalysis #InterviewKickstart #Kickstart #MachineLearning #professionals #SantaClara

Immer wieder wird im Geschäftskontext über #Datenqualität gesprochen, oft zusammen mit «authoritativeness», Entstehungskontext, #Governance-Modelle etc. Aber es lohnt sich meines Erachtens, zuerst die Begrifflichkeiten und die Bedeutung von #Daten-qualität zu klären. Beginn eines Versuchs: https://digital.ebp.ch/2025/04/29/datenqualitaet #DataManagement #DataEngineering #DataScience

Django 5.2 was released on April 2, 2025, and it brings some exciting new features. In this article, @adamchainz shared several highlights with examples - like automatic model imports in the shell, support for composite primary keys, a simplified way to override BoundField, etc.

https://adamj.eu/tech/2025/04/07/django-whats-new-5.2/

This week newsletter will be out tomorrow. Interesting stuff by Ben, Aamir Syed, BugBytes, @sarahgooding & Justin covered

https://newsletter.piptrends.com/p/autonomous-wifi-robot-flet-peps-and