FireDucks

Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API

[FireDucks @fireducksdev]

#fireducks slack

https://t.co/mkeIvXw9fL

[FireDucks @fireducksdev]

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 @fireducksdev]

本日はデジタルバンキング展に参加しています。#dbx

[FireDucks @fireducksdev]

来週はIntel Connectionで展示、発表します。ぜひご参加下さい。#intelconnection

https://t.co/5BvTzOOTq5

[FireDucks @fireducksdev]

We are in #SCA/#HPCAsia 2026. Join the NEC booth.

[FireDucks @fireducksdev]

#FireDucks 1.4.4 is released. It improves pandas compatibility of some methods. See relase note.
https://t.co/f925ypsUrN

[FireDucks @fireducksdev]

今週は日本生化学学会に来ています

[FireDucks @fireducksdev]

fireducks@ceatec

[FireDucks @fireducksdev]

FireDucks 1.4.3 is released. It accelerates `groupby.rank` with method dense, average, max, min for data with high-cardinality.
https://t.co/9XqAGz2LHk

[FireDucks @fireducksdev]

FireDucks 1.3.3 is out! 🚀 This is the last release with manylinux2014 support. Next up: we’ll upgrade pyarrow to 21.0.0, which no longer supports manylinux2014.
https://t.co/r0zVjt2xPg

[FireDucks @fireducksdev]

FireDucks 1.3.2 is released. It removes some fallbacks based on user feedbacks, and updates pandas dependency to 2.3.0.
https://t.co/2wGkxLrE7l

[FireDucks @fireducksdev]

FireDucks 1.3.1 is released. It includes supports for many fallbacks (based on user requests) related to groupby, binary operations, loc-processing, etc. to experience better performance. Feel free to request in case you have any specific case that you want to speedup.

[FireDucks @fireducksdev]

#FireDucks 1.3.0 is released. It upgraded to pyarrow-20.0.0 and removed some fallbacks reported on github.
https://t.co/Rrdw4qPhBe

[FireDucks @fireducksdev]

#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

[FireDucks @fireducksdev]

#FireDucks 1.2.7 has been released. It includes Mac support!

https://t.co/vGN7w1vVlZ

[FireDucks @fireducksdev]

After busy March, we have finally released #FireDucks 1.2.6. It includes update on memory_usage which now returns accurate values as requested on GH #65. Thank you.
https://t.co/EMoQAtRB9Y

[FireDucks @fireducksdev]

We are in India to join series of workshops on fireducks.

[NVIDIA Japan @NVIDIAJapan]

#GTC25 と併催の Japan AI Day は、3 月 21 日 (金) 10 時よりオンラインで開催。13 時開始の NEC @NEC_jp_pr 荒木氏による講演では、pandas のデータ処理を GPU を使って高速化する方法をご紹介。pandas ユーザーにお勧めのセッションです。

事前登録制、参加費無料 ▶https://t.co/J6bWYthETf

[FireDucks @fireducksdev]

#FireDucks 1.2.4 is released. It supports groupby.rank without fallback
https://t.co/D5C6QS6s4N

[FireDucks @fireducksdev]

#DEIM2025 に参加してます！