Data Science using Python
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Data Science using Python Events Near You
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DoJo (Informal Python Meeting)
**New Dojo Location!**
**Draft Day Columbus**
1130 Dublin Road
Columbus, OH 43215
We're going to try a new dojo location for a few weeks and see how it works
Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead.
We're looking for topic suggestions and people interested in presenting at our monthly meetings. To this end we've set up a survey form at [https://docs.google.com/forms/d/15eBKF1nQQ2XS5gzD4rvhVRHMBEj7lJtHuA9wXupS3Uc](https://docs.google.com/forms/d/15eBKF1nQQ2XS5gzD4rvhVRHMBEj7lJtHuA9wXupS3Uc)
Holiday Dinner
Monday December 29th at 6PM we'll be meeting up dinner at the Pies & Pints at Easton. Feel free to bring guests. Sandwiches run about $15 and large pizzas run $20-30.
Data on Fire: A Hands-On Intro to Spark in Fabric
The January Ohio North Database Training user group meeting will be held on **January 6th, 2025 at 5:00PM**. This will be a **HYBRID** event and we will be joined online by **Jason Romans**.
You're welcome to come meet in-person at our meeting location, the offices of Improving at
**[6000 Freedom Square Dr,](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)**
**[Unit 110,](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)**
**[Independence, OH 44131](https://www.google.com/maps/place/Improving/@41.4004167,-81.6614462,17z/data=!3m2!4b1!5s0x8830e5b8255c5919:0xd8297060eb68fe04!4m6!3m5!1s0x8830dc7a0fe35dc9:0xbfc4710ecadfc5c!8m2!3d41.4004127!4d-81.6588713!16s%2Fg%2F1hm3hkqp3?entry=ttu&g_ep=EgoyMDI1MDQzMC4xIKXMDSoASAFQAw%3D%3D)**
[Teams Link ](https://teams.microsoft.com/l/meetup-join/19%3ameeting_N2Q3ODVjM2YtNDQ1NS00MDBjLWI5MzYtNDQ3YmFlZjkzMjAx%40thread.v2/0?context=%7b%22Tid%22%3a%22b966f302-6b93-4686-9041-c084635642c5%22%2c%22Oid%22%3a%2278c760cb-657f-46aa-bd2f-7066d9403bdb%22%7d)if anyone needs it after RSVP-ing for in person.
If you would like to subscribe to our email list outside of Meetup, we have changed platforms recently and you will need to register [here in Kit ](https://ohio-north-data-training.kit.com/b8f036f615)instead to receive emails.
Agenda:
**5:00 PM EST**: Online and in-person meeting begins with a social hour. This is an unstructured hour where you can join us to catch up and meet other group members before the session starts. There will be food brought in for in-person attendees.
**6:00 PM EST**: Updates and announcements, followed by our feature presentation. See below for presentation details.
**7:30 PM EST**: Optionally after the main presentations, the in-person crowd may go out for snacks and drinks at a local establishment.
We hope to see you there!
Session Abstract
**Data on Fire: A Hands-On Intro to Spark in Fabric**
Curious about Apache Spark but not sure where to start? This hands-on session introduces you to Spark in Microsoft Fabric Notebooks—a powerful and accessible way to process and analyze big data using familiar tools in the Microsoft ecosystem.
We’ll break down key Spark concepts like distributed computing, DataFrames, and lazy evaluation, then show how they come to life inside Fabric’s notebook experience. You’ll see practical demos that cover loading, transforming, and analyzing large datasets—while leveraging Fabric’s modern data stack, including OneLake, Dataflows, and Pipelines.
You’ll also learn how to choose between Spark and pure Python notebooks in Fabric, based on execution needs, data integration, and use case fit.
Whether you're a SQL pro, BI developer, or data engineer, this session will give you the tools and confidence to start using Spark in your own projects—no cluster management required.
\*Please note, that we will be using Microsoft Teams for the online portion of this meeting. You may want to join a few minutes early to ensure you do not have any issues. If you are attending in person, there are large TVs at the office, and you do not need to bring a laptop or use Teams.
2026 Kick-Off: SONG SUNG BLUE or ANACONDA at Lennox Phoenix Theater!
Join us as we kick the New Year with a fun Happy Hour and your choice of two fun, new films! Option 1 is the biographical-musical-docu-drama, SONG SUNG BLUE, which stars Hugh Jackman and Kate Hudson in the story about a real-life couple and Neil Diamond Tribute Duo. Option 2 is the comedy-action-adventure ACACONDA, which stars Jack Black and Paul Rudd as part of a group of friends remaking a favorite movie from their youth. Here’s a complete description, trailer and our plan for this event:
SONG SUNG BLUE: The film follows Lightning and Thunder, a Milwaukee husband and wife Neil Diamond tribute act, who experience success and heartbreak in their musical journey together. Not a tribute to Neil Diamond, but a tribute to a Neil Diamond Tribute Band! The film is based on the 2008 documentary of the same name and is directed by Craig Brewer. It stars Hugh Jackman and Kate Hudson, along with Michael Imperioli, Ella Anderson, King Princess, Mustafa Shakir, Hudson Hensley, Fisher Stevens and Jim Belushi. Critics call the film, “a crowd-pleaser with a ton of heart!” TRAILER: https://www.youtube.com/watch?v=GCM0Ztp3o1o
ANACONDA: In this action-thriller-comedy-adventure, a group of friends going through a mid-life crisis head to the jungle to remake a favorite movie from their youth but encounter “unexpected events.” The film is directed by Tom Gormican and stars Jack Black, Paul Rudd, Selton Mello, Daniela Melchior, Thandiwe Newton and Steve Zahn. The film is a reimagining of the 1997 original. TRAILER: https://www.youtube.com/watch?v=TMsFsfrPNaw
PLAN: We’ll kick off the event with a pre-show Happy Hour at nearby Bravo! We’ll confirm the details and exact meeting time once we get the showtimes, but planning for 5 to 5:30pm for the Happy Hour and a 7pm-ish showing of both films. For the movies, we’ll meet inside the lobby area about 20 minutes before showtimes! Once showtimes are announced, advance ticket purchase is advised. Once you have yours, please list your Movie of Choice and seat number in the Comments below. Complete details will be confirmed and announced as the date gets closer.
Look forward to seeing you there, Dan
Psychic Development Series II - Pueo Group
Private Group. Closed to the Public
Knowing ourselves and understanding our abilities is the first step toward wielding our gifts with control and accuracy.
In subsequent classes we will verify and hone our talents with activities and discussion. These are hands-on workshops and participation is expected.
The goal of our series will be to develop expertise in areas of particular interest such as mediumship, channeling, divination, healing and, etc.. Our ultimate directions will be determined by class members as we evolve.
I look forward to sharing and discovering with you. - Cynthia
Hybrid MI Python: Michigan Python
Topic details coming soon.
AGENDA:
7:00pm - Opening announcements
7:10pm - Main Topic
7:50pm - Q&A
BeComing Circle Initiates
http://photos2.meetupstatic.com/photos/event/2/a/9/6/600_348310902.jpeg
Instructor - Crow, HPS
Class fee is $30 at the door or approved exchange
RSVP with Advance pay of $25 (discounted) by PayPal on the web or by contacting Enchanted Elements (614) 437-2642.
Reservations made directly to Enchanted Elements will be added to the class list manually not online.
Private Instruction ~ Closed to the Public ~ Initiated Members Only
Please come prepared for ritual.
Blessings ~ Crow










