Top Tweets for #FireDucks
SIG-FINでの発表資料を公開しました．金融領域でのpandas高速化に興味がある方はぜひご覧ください．
https://t.co/pZarNSsLvr
#fireducks
#FireDucks 1.3.0 is released. It upgraded to pyarrow-20.0.0 and removed some fallbacks reported on github.
https://t.co/Rrdw4qPhBe
🚨 Bangalore, we’re ready!
@fireducksdev x @devrelsquad_ AI & Data Science Meetup is happening TOMORROW
260+ RSVPs in 3 days – form closed
📍 Microsoft Research
🕚 11–4 PM
💻 Come with your laptop → leave with swag
#DevRelSquad #FireDucks #BangaloreTech #AI #TechMeetup
#fireducks slack
https://t.co/mkeIvXw9fL
#FireDucks 1.2.8 has been released. It includes bug fixes and minor performance improvement by caching results of df.index/shape/values.
https://t.co/B6NHRX7wiu
🚨 AI & Data Science fam — Bangalore Meetup By @fireducksdev
📅 24 May | ⏰ 11–4 PM | 📍 Microsoft Research
🎙 Speakers from ABB, Amazon & Microsoft
💻 Bring your laptop, leave with swag!
🎁 Limited seats!
🔗 RSVP via QR in the image
#DevRelSquad #FireDucks #Bangalore #AI
#FireDucks 1.2.7 has been released. It includes Mac support!
https://t.co/vGN7w1vVlZ
FireDucks: 125x faster than pandas (vs Polars' 57x), seamless integration with zero code changes, multithreading + JIT compilation, and lazy execution for top performance. A game-changer for Python data workflows!
win win !!
#datascience #pandas #fireducks
From Japan to AVIT - The Future of Tech is Here!
Join us for an exclusive session on FireDucks by NEC with top experts from NEC Corporation, Japan. Don't miss this golden opportunity to explore cutting-edge technology.
#AVIT #vmrfdu #vmcc #FireDucks #NEC #JapanTech #TechExperts
@svpino Is #FireDucks open source? What's the license?
How mature is the project?
What's the test coverage?
How does it handle Pandas' extensive ecosystem (scikit-learn, matplotlib, etc.)?
What are the memory trade-offs?
Does it maintain Pandas' guarantees about data immutability?
Merry christmas! #FireDucks 1.1.5 has been released with improvements of IR optimization. In our experiments, one of it gave us 10x speedup!
https://t.co/g9qdZTuCB7
#FireDucks 1.0.7 is released. It fixes two fallback.
https://t.co/ZrMwYOjMiC
#FireDucks 1.0.5 has been released from Bengaluru, India. We are here to join #PyConIndia2024. Visit our workshop and booth.
https://t.co/AvexcW5Y0b
Released #FireDucks 1.0.1 with performance improvement of groupby.unique, df.merge and sort_values.
https://t.co/Vpk1FxXMnc
We have released #FireDucks 0.12.6. It includes some bug fixes and removing fallbacks.
https://t.co/ezL9ZJtR4E
pandas APIの高速実装: FireDucks
import pandas as pd
を
import fireducks.pandas as pd
に変更すれば、以降のコードを修正する必要なし。
polarsより２倍程度早いらしい。
・みんなのPython勉強会#105で入手 #stapy
#fireducks #Python
https://t.co/0VglPnsf7S
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