Data Analytics

**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)

Let’s meet and discuss whatever comes to mind about one of Tennesse Williams’ most famous plays.

Join us on Wednesday nights at 7pm for two 25 minute quiet meditations, with one short walking meditation in between. There will be a brief and informal conversation afterward. Stay for as long as you like and feel free to bring or share whatever is on your mind. All Zen Center events are also available via Zoom at bit.ly/IndyZen.

[MOVIE DESCRIPTION BELOW] *Survivors of the apocalypse send a convict in a small submarine to explore a desolate moon that's an ocean of blood.* \~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~ **PLEASE SEE GROUP BIO FOR FULL FAQ. Meetup only allows a certain amount of characters when posting events from a mobile device and out FAQ is longer than that limit. A condensed version is posted below here** \~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~ First-time attendees: below are some Frequently Asked Questions about events for your consideration: * **What is involved in this type of event? (_Group Watch & Socialize Event)** * We typically arrive before the movie, maybe chat and catch up with folks a bit, watch the movie in the theater, then afterwards have a more extended chat with everyone who saw the movie. * **Do I have to chat before the movie?** * Nope! Totally understandable if you'd rather just watch first so you can have something in common to discuss afterwards. * **Will people approach me/talk to me?** * Not a guarantee as it depends on who is hosting, but a good host or other group members will try to at least say hi to members after the movie and may make an effort to include newer faces in the conversation in some way. Please feel free to jump into the conversation as you feel comfortable and understand this is done with good intent :) We are happy to have you! * **How will I know who is the host or where people are gathering to talk about the movie?** * This depends on each host, but good practice is for the host to indicate a notable item of clothing they are wearing for other members to look out for. But generally we gather in a loose circle in the theater lobby or outside the theater to talk, so if you recognize the host or other group members - that's the spot we've decided on! Just kind of depends on the feel of the group where we gather. * **What is with posting the seat numbers?** * A good practice we've found is to post our seat numbers when we have ordered tickets for a movie. This is just another way for members of our group to find each other as it might not be immediately obvious who is here as part of the group event: some events are at public movie theaters, after all. You are not by any means obligated to post your seat number if you do not feel comfortable doing so, just something we've found that works nicely for encouraging some socialization. * **Will there be food?** * General guideline: if the movie starts at 7ish pm or later, you might wanna have dinner first or plan on buying movie snacks. Restaurant kitchens tend to close around 9-10pm. We sometimes do go to restaurants after movies as a group, but moreso bars whose kitchens may or may not be open. Plus, kind of bad manners for a group to descend upon a bar when the kitchen is closing is 10 minutes lol. Bars are just convenient social places, there is zero pressure to drink but there just aren't many places open late when we may leave movies. There is potential to order or provide food for group events, but it should not be expected unless stated in the event description. * **How do I stay in contact with the group after the movie?** * We have another app we use for discussion because Meetup is somewhat cumbersome to use for casual conversation. The app we use is called Discord. The link is posted below: * Link: https://discord.gg/4r7QxzmSvH * [Place link here] \~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~\~ * **Can I create events as a member?** * Initially, no but this group is open to members suggesting events or becoming part of the Event Organizers over time. We don't want to open the opportunity for everybody initially to create events because that kind of role has some responsibility towards it. There are certain permissions granted to that role that not every member should have. However, if a member has a proven track record of treating every group member with due respect, and a willingness to plan events: they can become and Event Organizer and create their own events. Please reach out to leadership if this sounds like something that would interest you. * **Can I donate to the group?** * Absolutely! See group bio

Bring your business cards and network in person with other business professionals! Gold Star Referral Clubs is one of the most established professional networking organizations in the country, with multiple groups in central Ohio. Join us!

Yes, the [Chocolate Café](https://www.chocolatecafecolumbus.com/menu-1?menu=signature-desserts) serves chocolate fondue *(Chocolate Fondue Day is Feb 5th)*! No one does chocolate fondue like they do. It's rich, creamy, and served with an array of fresh fruit and other dipping items. They encourage making it a party! A perfect winter warmup to share with friends! **Chocolate Fondue Kit:** Served with dippers, including marshmallows, Rice Krispie treats, graham crackers, pound cake, strawberries, and pretzels. **COST**: Bring ***$5.00 cash*** to cover your portion of our delightful dessert bar. **EARLY ARRIVALS**: Go ahead and order dinner (before dessert). I love their toasted sandwiches and their soups. **PARKING**: In our parking lot, on the street (but not between 4-6 pm) or behind the Buckeye State Building. [Chocolate Cafe](https://www.chocolatecafecolumbus.com/): A fully stocked amount of *chocolate candies* including truffles, chocolate covered pretzels and chocolate and caramel turtles. We have menu options for breakfast, lunch and dinner. Join us for brunch or a late night meal. Soups, salads & sandwiches served daily. Check out our [menu](https://www.chocolatecafecolumbus.com/_files/ugd/7ea733_0ebab62dcfc0435aa189b6d1a3c3ec82.pdf) for more information. We also offer wine, martinis and cocktails! Enjoy a *famous chocolate martini* or hand crafted cocktail, too!

Join members of the local UX and Digital Design community for a casual monthly breakfast. There _might_ be a little snow, but there _will_ be effectively infinite serve-yourself coffee, so it evens out if you ask me. Just a reminder, while the other locations are great too, we’re at the Lane Ave one this time.

Join us as Evan Stone demonstrates how to leverage Python and AI to create intelligent automations for Minecraft servers. Learn how to build custom tools that enhance player experiences through automated tasks, smart game mechanics, and AI-driven features. Whether you're interested in game development, automation, or practical AI applications, this talk will show you how Python can transform multiplayer gaming experiences. AGENDA: 7:00pm - Opening announcements 7:10pm - Automating Minecraft with Python and AI 7:50pm - Q&A

Hello everyone! For our first dinner together, we’re keeping things low-key and casual. Take a look at the menu and let us know what you think we want this to be easy, relaxed, and enjoyable for everyone. Quick housekeeping note: many restaurants require most of the party to be present before seating. No-shows impact the entire group, so if someone repeatedly commits and doesn’t show more than once, we’ll have to remove you from future dinners to keep things fair and smooth for everyone. Looking forward to a great night and even better conversations 🍽️✨

Christians in Tech is a community at the intersection of faith and technology. Our meetups are designed to spark meaningful conversations, promote knowledge sharing, and encourage growth—both in your career and your spiritual walk with God. Whether you're an experienced professional or just starting your tech journey, CIT welcomes you. Our Website [https://linktr.ee/citcbus](https://linktr.ee/citcbus) Sponsors and Partners * Improving (Venue Sponsor) * Bethel World Prayer Center (Fiscal Sponsor) * Fruits & Roots (Coffee Partner)

**People Analytics 101: Making Sense of Compensation Data** Compensation data is one of the most widely used and widely misunderstood forms of people analytics. The session will cover where compensation data comes from, including market pricing data, internal payroll data, and benchmarking sources, and how companies think about structuring and analyzing that information. We will explore how compensation data is leveraged to set salary ranges, manage internal equity, support hiring and retention, and align pay with business strategy. A portion of the session will address common data challenges and limitations, such as market noise, inconsistent job matching, and incomplete datasets, while keeping the primary focus on practical use rather than technical depth. The session will also look ahead at where the space is going, including the growing impact of pay transparency laws, expanding pay equity requirements, and emerging regulations in the US and Europe that require organizations to report on gender and pay gaps. The goal is to give attendees a clear mental model for how compensation analytics works today and why getting it right is becoming increasingly critical. (note: we are back at Rev1 this month!) **About Our Speaker** [Alex Moore](https://www.linkedin.com/in/alexscottmoore/) is the founder of [Moore Cooperative](https://moorecooperative.com/), where he advises organizations on compensation strategy, pay equity, and people analytics. His work focuses on helping organizations like the Ohio Supreme Court design, analyze, and communicate compensation systems that are data-informed, defensible, and aligned with organizational goals. Alex lives in Granville, Ohio and has three little kiddos. More info at [cbusdaw.com](https://cbusdaw.com)

I love my job and one of the main things I do is help customers get going with any of the data technologies at Microsoft. Right now there are a lot of my customers asking about Microsoft Fabric. It's hard to weave across all the shiny new options across the Fabric landscape, let alone figure out where it fits into your organization. In this session we'll focus on answering one question - how can I get data into Fabric? We'll talk through the "it depends" options and see some of the options in live demos.

**We'll have two meetings covering AI - this one is for RStudio** We will review which AI features are linked in for RStudio, and a quick demonstration of using AI to write R code with external AI (such as ChatGPT, ClaudeAI, etc.) The code will be either run on Posit Cloud (RStudio on the web) or in RStudio desktop (from a Github repository). **Location:** The meetup will be at SPARK's ([https://annarborusa.org/](https://annarborusa.org/)) Ann Arbor site: [SPARK HQ (Ann Arbor)](https://urldefense.com/v3/__https://www.google.com/maps/place/Ann*Arbor*SPARK*Headquarters/@42.2792515,-83.7447708,17z/data=!3m1!4b1!4m5!3m4!1s0x883cae3effe193cb:0x5296a53db2a282bf!8m2!3d42.2792515!4d-83.7447708?hl=en-US__;Kysr!!HXCxUKc!3EEdBNXRJKknP6LCGkZetSuEsdtChFojQnOVitFUC5C0fyilqXEbiMstT9ajBR3Cw-55qoFkrElCjQvjMdTxUw$). There is on street parking, and parking at local structures. **This will be a hybrid meeting - the Zoom session starts at 6:30 PM.** **Time:** The doors will be open at 6:00, with pizza and beverages provided. We will have a meet-and-greet-and-pizza session, and then at 6:30 we'll have a presentation. **Zoom information:** https://us06web.zoom.us/j/87236570854?pwd=zhj9DSebB1LaBeam4LFF90OHFVzPrz.1 Passcode: 012862 **If you can't get in, please call me at: 734 223-3307** **Document source:**

### Tools in your AI's Toolbox : An introduction to MCP Servers The generative AI revolution has unlocked unprecedented capabilities, but the next frontier is agency: empowering models to interact with, query, and act upon the world. The current challenge is the “N x M integration problem,” where every AI model requires a custom, brittle integration for each external tool or data source. This approach simply doesn’t scale. How can we give an AI access to our sales leads, code repositories, or IoT devices in a standardized, secure, and reusable way? This session introduces Anthropic’s Model Context Protocol (MCP), the open-source framework designed to solve this challenge and become the universal connector—the USB-C port—for AI. MCP standardizes how AI models discover and use external tools, moving beyond simple function-calling to a robust, client-server architecture. We will dive into how this open protocol is creating a new ecosystem for building powerful, context-aware AI agents. Join this session for a developer-focused introduction where you will learn how to: Understand the core concepts of the open-source Model Context Protocol and its architecture. Utilize pre-built, open-source MCP servers to instantly connect AI to tools like Git, Slack, and databases. Build a custom MCP server to securely expose your own proprietary data and APIs as tools for any compliant AI. Move beyond bespoke integrations and contribute to a standardized, collaborative, and open ecosystem. Stop building one-off connectors and start building intelligent agents. This session will give you the practical knowledge to leverage MCP and create the next generation of AI that doesn’t just talk, but does. Want to be a speaker? submit your talk to our Call for Presenters!!! [https://sessionize.com/azure-cbus-2026/](https://sessionize.com/azure-cbus-2026/)

**Abstract:** The Advanced Photon Source (APS) is an X-ray light source at Argonne National Laboratory where researchers perform imaging, diffraction and spectroscopy experiments at 68 specialized beamlines. APS recently completed a major upgrade that made it the brightest synchrotron in the world and upgraded many of the beamlines to take advantage of the dramatically brighter, more coherent beam. These new capabilities are increasing the facility’s raw data production from <10 PB/year before the upgrade to >100 PB/year once all instruments are back online. To meet this data challenge, the APS Beamline Data Pipeline project team is partnering with beamline staff to develop and deploy science data pipelines that use a common set of open-source software tools (many written in Python) to link instruments with the Polaris supercomputer at the Argonne Leadership Computing Facility (ALCF) for data processing. This talk will describe the APS data systems, our file-based and streaming pipeline templates, and some of the open-source software we use to extract scientific insights from beamline data. **Audience Takeaway:** Open source Python data acquisition and analysis tools are ubiquitous at the APS. Many of the packages that are mentioned can be found at [https://github.com/AdvancedPhotonSource](https://github.com/AdvancedPhotonSource). This is a *hybrid* event. To attend online, join us on Zoom here at 6pm: [https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1](https://numfocus-org.zoom.us/j/89399976851?pwd=UEgMUZXdYmKdK1x1dIPL6hwUYnp7NW.1) **Sponsor**: Grainger will provide the meeting site, as well as snacks for the onsite participants. * **Address:** 222 W Merchandise Mart Plaza, 18th Floor, Chicago, IL 60654 * **Grainger's Overview:** W.W. Grainger, Inc., is a leading broadline distributor with over $17 billion in revenue. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with maintenance, repair, and operating (MRO) products and services delivered through innovative technology and deep customer relationships. Our machine learning team builds broadly across search, recommendations, product matching, computer vision, and generative AI. * **Logistics**: To access the Grainger office, we require **first and last names** of those who RSVP'd by **Feb 11**. Please take the main elevators at the center of the Mart. Attendees will then present their **IDs** when they arrive at the front desk on the 18th floor.

NFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.

**NEW LOCATION: Improving Office in Franklinton** Physical location: Improving Office 330 Rush Alley Suite #150 Columbus, OH 43215 Schedule: * 6:00 p.m.: Socialize, eat, and drink. Improving will be providing pizza and beverages. * 6:30 to 8:00 pm. Main meeting and presentation(s). Lonnie Morgan will be presenting information about the DLT Library. "The Python library `dlt` provides a powerful [REST API toolkit](https://dlthub.com/docs/dlt-ecosystem/verified-sources/rest_api/basic) to ingest data. Combined with our [LLM scaffolds](https://dlthub.com/workspace) and [MCP server](https://dlthub.com/docs/hub/features/mcp-server), you can build a custom connector for any of the 8k+ available sources in 10 minutes by following this guide. Building with LLMs is an iterative process. We will follow this general workflow and give practical tips for each step." See Our [Parking Map](https://docs.google.com/presentation/d/1u2A4fLNlxwLJn0KA_hKc8bnFlFHLvsHBDh-_8wzX_tk/edit?usp=sharing) We meet on the last Monday of each Month. Presentations are given by members and friends of this group. If you would like to do a presentation (small or large) on a python topic, please contact centralohpython@gmail.com