Are you a data scientist struggling with string matching? trrex has got your back! 💪🔍 Enjoy the power of exact and fuzzy matching and easily integrate with your favorite #NLP libraries.
#DataScience#MachineLearning#Python
https://t.co/tOvZbYhKEI
🐍 PyDay Barcelona 2025 is here! Nov 29 @ Canòdrom
✨ FREE tickets + all-day catering
💻 Hands-on workshops: AI, Computer Vision, Quantum Computing & more
🎟️ Tickets available from Nov 24
📝Schedule: https://t.co/qRQ1fJnU8Z
Bring your laptop! #PyDayBCN2025#PythonBCN
🚀 PyDay Barcelona 2025 is calling!
Do you have a workshop idea that could inspire the community? We'd love to hear from you!
Workshop proposal here: https://t.co/dn8XEnEMBX
Lightning talks here: https://t.co/x9njN8nVeg
Join us and share your passion! 🐍✨
#pydaybcn2025
"Data has structure. Compute doesn't."
@hussainsultan & Chris Riccomini @getmaterialized discuss the fragmented DataFrame ecosystem and how Xorq bridges the gap with its multi-engine library built on Ibis, Apache DataFusion, and Apache Arrow.
https://t.co/8roLviAtO4
Plot twist: My PyCon Portugal 2025 talk on 'Unifying Data Management in Python with Ibis' was secretly about semantic layers all along 🤯
Turns out Ibis + Xorq = semantic layer
Building something similar? Check out our repo (stars welcome 😉) https://t.co/YU0eKT1bQ2
I’m excited about xorq! Ibis and DataFusion brought together to orchestrate multi-engine data pipelines, all powered by @ApacheArrow
https://t.co/MEoQMjze5a
I'm looking for a new job.
Fully remote since I'm living in japan countryside, but I'm flexible on working hours.
If you know someone that needs a Kotlin/Java backend engineer with also experience in leading teams and mentoring please pm me.
Retweets are appreciated!
#Polars, the fast DataFrame library with 20k+ GitHub stars, is revolutionizing the data world! 🌍 They've just unveiled a streaming engine for handling datasets larger than memory. 📊 #DataScience#Polars
I think DataFusion python bindings are gearing up for greatness. Huge thanks ❤️ to @searchsort for organizing the work. Here is the list of items if you are looking for ways to get involved: https://t.co/D7nVsDm7Io https://t.co/mngSdgsyut
The latest episode of The Python Show Podcast is out now!
This week's episode has special guest, Marlene Mhangami, talking about her journey in programming and #Python, advancing tech among women in Africa and more!
https://t.co/71Lk2grjGy @marlene_zw@ThePythonShow
We're excited to announce Ibis v6.1.0🔥🔥
This release includes:
- Better integration with visualization tools like Altair, Plotly and Plotnine
- Backend improvements for #DataFusion
- New array methods like concat and repeat
Read the blog here:
https://t.co/pGW4V99MfR
Do you wish you had something like SQLAlchemy that abstracted over both SQL engines AND data frame APIs like #Pandas?
Check out @IbisData and make all your execution engines swappable
#SciPy2023
If #ApacheSpark is your data engine of choice, you should consider using @IbisData to scale workloads. It minimizes the need for code rewrites and helps you scale more efficiently. Today on the blog, we walk you through how it works. https://t.co/8h5tSCt3TY
My favorite Youtube series to watch lately is @cpcloudy 's videos on @IbisData. Lots of good stuff. I'm amazed that he does his data wrangling in ipython REPL so effortlessly. https://t.co/prPaBOx2vw
Love to see @IbisData powering #opensource tools! @Google uses Ibis in its Data Validation Tool, which helps users ensure their data stays intact after moving it between different backends, including #BigQuery, Teradata, Cloud SQL, and more. https://t.co/u8PKI5FVFR