James Munro (@james_j_munro) 's Twitter Profile
James Munro

@james_j_munro

ID: 1759901

calendar_today21-03-2007 15:36:12

75 Tweet

27 Followers

166 Following

ArcticDB (@arcticdb) 's Twitter Profile Photo

We had a fantastic time attending the #Aeron community meetup by Adaptive held at the Man Group offices. Some great presentations including those from the Man Group team. It was good to also connect with everyone and to speak about ArcticDB. Thank you to all who joined!

We had a fantastic time attending the #Aeron community meetup by <a href="/WeAreAdaptive/">Adaptive</a> held at the Man Group offices. Some great presentations including those from the Man Group team. It was good to also connect with everyone and to speak about ArcticDB. Thank you to all who joined!
ArcticDB (@arcticdb) 's Twitter Profile Photo

It's time for an upgrade! Tired of slow and bulky CSVs? Our latest blog reveals why #ArcticDB is a game-changer for your #TimeSeriesData. Read more: ow.ly/C4sX50Sf8hA

ArcticDB (@arcticdb) 's Twitter Profile Photo

Pleased to sponsor this year's PyData London conference! Join us at our booth and connect with our team! #technology #ArcticDB

ArcticDB (@arcticdb) 's Twitter Profile Photo

A huge thank you to everyone who visited our booth PyData London Conference over the weekend! We enjoyed sharing insights on Technology at Man and hope you found the ArcticDB session and demos informative #mangroup #arcticDB

A huge thank you to everyone who visited our booth <a href="/PyData/">PyData</a> London Conference over the weekend! We enjoyed sharing insights on Technology at Man and hope you found the ArcticDB session and demos informative #mangroup #arcticDB
splashy (@splashy_i_am) 's Twitter Profile Photo

dub @OBS_orderflow Got it. I would say arcticdb might work for you. You're right that your live capture to CSV is probably the best solution. But to save older (say older than 1 day) you can use arcticdb - compresses very well - 10ish x for me vs csv, allows fast parallel reads for when you need

<a href="/Dub0x3A/">dub</a> @OBS_orderflow Got it. I would say arcticdb might work for you.

You're right that your live capture to CSV is probably the best solution. But to save older (say older than 1 day) you can use arcticdb - compresses very well - 10ish x for me vs csv, allows fast parallel reads for when you need
ArcticDB (@arcticdb) 's Twitter Profile Photo

Struggling with data management in your research? Discover how ArcticDB transformed our Head Quant’s workflow and boosted productivity in our latest blog. #DataScience #Research #ArcticDB ow.ly/cvov50SAmsT

Adaptive (@weareadaptive) 's Twitter Profile Photo

Great #webinar by ArcticDB! We are big believers in fostering the #OpenSource community, especially within #CapitalMarkets and #FinTech. #ArcticDB

ArcticDB (@arcticdb) 's Twitter Profile Photo

It's fantastic to see PyQuant News using ArcticDB to handle 2,370,886 rows of historic options data in their new YouTube video📈 Check it out: ow.ly/zTMv50T0X8z #ArcticDB #Python #PyQuantNews

ArcticDB (@arcticdb) 's Twitter Profile Photo

Excited to announce ArcticDB's new high-performance resample feature for timeseries data! 🚀 - 4x faster than Pandas - Easy Python setup - Supports complex operations Check out our blog for more details: ow.ly/6oZa50T0Wq9 #DataScience #Timeseries #Python #ArcticDB

bc1984 #FREESAMOURAI (@bc1984adam) 's Twitter Profile Photo

.ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem. Created by Man Group, it uses an "Eventually Open-Source" license. (v1.0 will convert to Apache 2.0 in MAR of 2025.) "perfect for pandas" github.com/man-group/arct…

.<a href="/ArcticDB/">ArcticDB</a> is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Created by <a href="/ManGroup/">Man Group</a>, it uses an "Eventually Open-Source" license. (v1.0 will convert to Apache 2.0 in MAR of 2025.)

"perfect for pandas"

github.com/man-group/arct…
A-Team Insight (@ateaminsight) 's Twitter Profile Photo

James Munro, Head of ArcticDB, Man Group and Javier Mitra-Valdes, Head of Product, BQuant Platform, Bloomberg will present a Buy AND Build innovation case study at TradingTech Summit London next week. a-teaminsight.pulse.ly/gw5dow4i7l #TTSLDN #tradingtech #casestudy #datascience

James Munro, Head of ArcticDB, <a href="/mangroup/">Man Group</a> and Javier Mitra-Valdes, Head of Product, BQuant Platform, <a href="/bloomberg/">Bloomberg</a> will present a Buy AND Build innovation case study at TradingTech Summit London next week.

a-teaminsight.pulse.ly/gw5dow4i7l

#TTSLDN #tradingtech #casestudy #datascience
QuantStack (@quantstack) 's Twitter Profile Photo

QuantStack steps up to support ApacheArrow with new dedicated team. Antoine Pitrou, Apache Arrow maintainer, and core CPython developer will lead this new initiative at QuantStack. medium.com/@QuantStack/qu…

PyQuant News 🐍 (@pyquantnews) 's Twitter Profile Photo

Excel only supports 1,048,576 rows. Until now... With PyXLL and ArcticDB, you can manipulate 23,000,000+ rows of FX tick data. Here's how: