Python (パイソン)

**Latest Dojo Location!** **Knotty Pine Brewing** 1765 W 3rd Ave, Columbus, OH 43212 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 speakers for our Monthly Meetups! Fill out the form if you are interested in presenting to the Python Community. https://forms.gle/ehSfUAC2WgR34Crq9

Come out to Improving for our monthly iOS and Mac meetings. This Month's Presentation: Nothing yet. (You should volunteer). What is Cocoaheads (http://cocoaheads.org/)? CocoaHeads is a group devoted to discussion of Apple Computer's Cocoa Framework for programming on MacOS X and iOS (including the iPhone, iPad and Apple Watch). During monthly meetings, members present on their projects and offer tutorials on various programming topics. What is BuckeyeCocoa (http://buckeyecocoa.org/)? BuckeyeCocoa is a group of Objective-C/Swift developers/enthusiasts. We host monthly Cocoaheads and near-weekly NSCoder meetings in Columbus, Ohio. The meetings are free to attend. Presentations! Presenters welcome! We are always in need of people willing to present material. Any Swift and/or Objective-C related topic is welcome. Times can be 5 minutes (i.e. lightning talks) to a maximum of 2 hours. Interested? Contact info is on the BuckeyeCocoa website. To volunteer for a presentation contact us at @BuckeyeCocoa on Twitter. Follow us on Twitter! @BuckeyeCocoa (https://twitter.com/#!/Buckeyecocoa/) For more information: http://buckeyecocoa.org/

**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). Topic: Exploration of Large Language Models and Programming with Chris Pazsint 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 Central OH Python at centralohpython@gmail.com

Pay attention! We’re delaying a week for those of you who may be on Spring break and/or celebrating the holiday. Ok, no pancakes, but waffles-a-plenty. Join the local UX and Digital Design community for a casual monthly breakfast. Look for us upstairs!

**Details:** If you haven’t yet built an Agent yourself, this is for you! A hands-on workshop where you build a production-ready AI chatbot from scratch using Python, Streamlit, Claude AI, and RAG (Retrieval-Augmented Generation). **Speaker Bio:** Gus Cavanaugh is a former strategy consultant turned GTM leader in data and analytics. He teaches Python, data, and AI through local meetups and enjoys helping others get hands-on with modern tools. He lives in Winston-Salem with his family and starts most days at 6am in the gym. **Audience Takeaway:** By the end of this workshop, you'll have created: * ✅ AI-powered chatbot that answers questions about uploaded documents * ✅ RAG implementation with vector search and semantic retrieval * ✅ Web search integration for current information * ✅ Professional web interface using Streamlit * ✅ Cloud-deployed application that runs immediately * ✅ Portfolio-ready code you can customize and share No AI experience required. No local installation needed. Everything runs in the cloud. **Zoom: This is a *hybrid* event. To attend online, join us on Zoom here at 6pm:** https://iit-edu.zoom.us/j/89379230295?pwd=NdETyE5sdYuSrvsrBZXSBFkUESBVkg.1 Meeting ID: 893 7923 0295 Passcode: 5t5WYn **Sponsor:** **[AlphaSense](https://www.tegus.com) will provide the meeting site, as well as pizza and soft drinks for the onsite participants.** * **Address:** 200 N. LaSalle Street. Suite 1100. Chicago, IL 60601 * **AlphaSense's Overview:** The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. * The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. * **Logistics**: To access the Tegus by AlphaSense building, we require **first and last names** of those who RSVP'd by Apr 15. Attendees will then present their **IDs** when they arrive at the front desk (right when they enter the building). They will be sent up in the elevator to the 11th floor where we will be.

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.

Join us for pizza and conversation at Vick’s Gourmet Pizza! 🍕 Good slices, good stories, and plenty of laughs around the table. Come hungry, bring your best conversation, and let’s enjoy a relaxed evening with great company. Extra cheese and extra chatter encouraged! 😄