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Monday Replay: “PyData Boston November 2020 Meetup: On Brain-Computer Interfaces and Explainable Workflows using Python”

One of the final few events we got to support last year was PyData Boston’s November meetup, featuring two talks: Explainable Workflows Using Python, Austin Eovito (Data Scientist, IBM) How to Create Brainwave-Sensing Headphones using OpenBCI and Python, Angela Vujic (PhD researcher, MIT...

Tim Bonnemann's profile image

Blog Entry
Recap July 9 Virtual Meetup: Explainable Workflows Using Python

Last week we got to host our third monthly virtual meetup . More than 70 attendees from all around the world got to hear about “Explainable Workflows using Python”: This talk approaches the typical data science workflow with a focus on explainability. Simply put, it focuses on skills and...

Tim Bonnemann's profile image

Blog Entry
Monday Replay: “How the Pants build system leverages Python 3 features” (SF Python, May 13)

Latest part in our series , this one once again coming out of SF Python (we’re adding material from other cities, so stay tuned for that): Learn how the new Pants execution engine leverages Python 3 features, such as async coroutines, data classes, and type annotations, to provide these...

Tim Bonnemann's profile image

Blog Entry
Recap June 9 Virtual Meetup: ML Ops

We held our second virtual meetup yesterday, with William Roberts providing an overview of the emerging field of ML Ops. Check out his slides and watch the replay below. Please head over to the forum to share you comments and questions . Join us again on Thursday, July 9 from 6 to 7.30pm...

Tim Bonnemann's profile image

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Monday Replay: “Python’s Best AI Package” (SF Python, February 12)

Part of how we’ve been growing the IBM Data Science Community over the past year is to find leading non-IBM data science and AI-focused meetups in tech hubs around the world and support them with speakers, sponsoring, and – where available and when not in a global pandemic – venue space. Most...

Tim Bonnemann's profile image

Blog Entry
Visualizing Geospatial Data in Python

Throughout the global pandemic, many people have spent lots of time viewing maps that visualize data. Important data. People who work in data science are probably seeing increased needs to work with geospatial data , especially for visualizations. There are increased needs to understand...

Paco Nathan's profile image