Ruby
Triff andere Personen in deiner Nähe, die sich auch für Ruby interessieren, damit ihr Erfahrungen austauschen und euch gegenseitig inspirieren könnt! Tritt einer Gruppe zum Thema Ruby bei.
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Ja! Schau dir die ruby Veranstaltungen an, die heute stattfinden hier. Das sind persönliche Treffen, bei denen du Gleichgesinnte treffen und sofort an Aktivitäten teilnehmen kannst.
Entdecke alle ruby Veranstaltungen, die diese Woche stattfinden hier. Plane im Voraus und nimm an spannenden Meetups während der Woche teil.
Auf jeden Fall! Finde ruby Veranstaltungen in deiner Nähe hier. Verbinde dich mit deiner lokalen Community und entdecke Veranstaltungen in deiner Umgebung.
Ruby Veranstaltungen Diese Woche
Entdecke, was in den nächsten Tagen passiert
Validating Your Next Profitable Private label product
Wizards of Ecom,
**Youtube Livestream Link** [https://youtube.com/live/aa7ebGqRrcQ?feature=share](https://youtube.com/live/aa7ebGqRrcQ?feature=share)
In today's event The "Niche Dive" Method: Validation in 2026 isn't just about high volume; it’s about finding high-opportunity sub-niches (e.g., "Eco-friendly diaper bags for hiking" vs. just "diaper bags") where competition is fragmented.
Review Gap Analysis: Use AI tools to scan competitor negative reviews. If customers consistently complain about a specific flaw, and you can fix it with your manufacturer, you have a validated "Unique Selling Proposition" (USP).
Profit Buffer Testing: Never greenlight a product unless it has a 25-30% net margin buffer. With 2026's rising shipping and ad costs, "thin" margins (10-15%) are now considered a high risk for failure.
**Instagram Handle** @wizardsofecom
**Youtube Channel** https://www.youtube.com/channel/UCp8itN-dnqJ1AbANGCe1qIA
**Linkedin** [www.linkedin.com/in/wizardsofecom](https://app.process.st/www.linkedin.com/in/wizardsofecom)
**ALL meetups are always 100% FREE**
If you want to access the recording of this event and all previous events you can do so at [academy.wizardsofecom.com](https://academy.wizardsofecom.com/)
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Ruby Veranstaltungen in deiner Nähe
Verbinde dich mit deiner lokalen Ruby Community
COhPy Monthly Meeting
**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: Type Annotations with John Cassidy
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
Cocoaheads
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/
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)
Columbus PHP: Monthly Meetup
Our monthly PHP meetup.
A virtual shindig courtesy of Zoom. Check back here for the details around 6:15 pm
How LLMs Like ChatGPT Actually Work and How to Build With Them
**First meetup of the Columbus AI Engineering group.**
We’ll kick things off with a practical, beginner-friendly discussion on:
**How LLMs like ChatGPT actually work — and how to build real applications with them.**
We’ll cover:
* what’s actually happening under the hood (at a high level)
* why LLMs behave the way they do (hallucinations, prompt sensitivity, etc.)
* how people are building real systems with them today
* where things break in practice
This will be a **short, informal talk (\~15–20 min)** followed by open discussion and Q&A.
Whether you’re an engineer, builder, or just curious about how modern AI systems work, you’re welcome to join.
No slides, no fluff — just real conversation about real systems.
We’ll hang out afterward and get to know each other.
CBusData: The Fellowship of the Star Schema: Transforming OLTP Data for Power BI
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.






