Open Source Python
Meet other local people interested in Open Source Python: share experiences, inspire and encourage each other! Join a Open Source Python group.
359
members
1
groups
Related topics
Largest Open Source Python groups
Newest Open Source Python groups
Frequently Asked Questions
Yes! Check out open source python events happening today here. These are in-person gatherings where you can meet fellow enthusiasts and participate in activities right now.
Discover all the open source python events taking place this week here. Plan ahead and join exciting meetups throughout the week.
Absolutely! Find open source python events near your location here. Connect with your local community and discover events within your area.
Open Source Python Events Near You
Connect with your local Open Source Python community
Hacking the Stack: Using OpenSearch Dashboards as an Application Framework
**Agenda:**
* 6-6:30 pm: Networking and food/drinks
* 6:30-7:15 pm: Announcements and presentation
* 7:15 pm-7:30 pm: Q&A and close-out
**Hacking the Stack: Using OpenSearch Dashboards as an Application Framework**
Most developers treat OpenSearch Dashboards (OSD) strictly as a visualization layer—a place for charts and graphs. They are missing the bigger picture. OSD is a powerful, untapped environment for full-stack application development. In this session, we peel back the architecture of **an enterprise-grade risk, compliance, and security platform built entirely *on top of* OSD**. We moved beyond simple plugins and pushed OSD to its limits to create a seamless, interactive application experience.
Join us for a deep dive into the engineering reality of the OpenSearch stack, including:
* **The Analysis:** Why the OpenSearch stack beat out the competition.
* **The Build,** **Beyond Visualization:** How to implement custom React components to build complex workflows and interactive UIs within OSD.
* **The Integrations:** Integrating Wazuh for agent management and ingesting data at scale.
* **The “Gotchas”:** Honest, real-world lessons on data handling, state management, and what to look out for.
**If you are ready to push your plugins from “reporting tools” to “robust software,” do not miss this session!**
RSVP to the next Washington D.C. Red Hat User Group
RSVP here: **[https://reg.experiences.redhat.com/flow/redhat/3558153/redhatfieldeventspreregnoappform/page/landingregistrationpage?sc_cid=](https://reg.experiences.redhat.com/flow/redhat/3558153/redhatfieldeventspreregnoappform/page/landingregistrationpage?sc_cid=)[RHCTN1260000475092](https://reg.experiences.redhat.com/flow/redhat/3558153/redhatfieldeventspreregnoappform/page/landingregistrationpage?sc_cid=RHCTN1260000475092)**
Is configuration drift silently killing your stability? Join us for the next Red Hat User Group (RHUG) event in Washington D.C. and discover the future of IT infrastructure management with Red Hat Enterprise Linux (RHEL) 10 Image Mode.
This isn't just another operating system update—it's a new paradigm. You’ll learn how to treat your entire OS as a versioned, container-native artifact, bringing the speed and control of DevOps to your foundational layer.
**Event Highlights:**
* Deep Dive: Deploying and maintaining a truly immutable, compliant operating system.
* Expert Insight: How to use familiar container-native tools to build bootable RHEL images.
* Networking: Connect with peers, Linux administrators, security engineers, and infrastructure architects.
Don't miss this opportunity to transform your IT services.
Date: Wednesday, March 26, 2026
Time: 12:00 PM – 3:00 PM EST
Location: Red Hat Tysons Corner, McLean, VA
Secure your spot today and get ready to eliminate operational "noise" for good.
We look forward to seeing you there!
Your RHUG Team
Python Packaging 101: From Code to Installable Package
Have you written Python code you’re proud of and wondered how to turn it into a proper, installable package? Join us for a hands-on, in-person workshop on **Python packaging**.
In this session, we’ll walk through the modern Python packaging workflow — from structuring your project to building, installing, and publishing your own package. You’ll leave with a better understanding of tools like `pyproject.toml`, build backends, and how packaging fits into real-world development.
This is a practical workshop, so come ready to code. We’ll work step by step together
### What we’ll cover
* Recommended project structure for Python packages
* Understanding `pyproject.toml`
* Building your package locally
* Installing and testing your package
* Publishing a package to Test PyPI
Whether you’re contributing to open source, building internal tools at work, or preparing your own library for distribution, understanding packaging is an essential Python skill.
***
### Recommended Experience
This is an intermediate level workshop, to get the most out of this tutorial, you should be comfortable:
* Writing Python code
* Using functions
* Working with Python environments (e.g., virtual environments)
This is not a beginner Python session, but you don’t need prior experience with packaging.
***
**This event is primarily intended to create an empowering and supportive space for women and non-binary individuals to find community, learn new technical concepts, and expand their software development skills. We welcome allies, and we ask that you remain mindful of the event’s focus in creating an inclusive environment where women and non-binary participants can connect and fully express themselves. Thank you for your understanding and support.**
***
### Schedule
5:30–6:00pm – Networking and getting to know each other
6:00–8:00pm – Hands-on Packaging Workshop
8:00:–8:15pm – Wrap-up and Q&A
***
### Requirements (Please complete before the event)
* Laptop — this is a hands-on event
* GitHub account
* Create a free GitHub account if you don’t already have one: [https://github.com/](https://github.com/)
* Test PyPI account (we’ll use this to practice publishing packages)
* Create a free account on Test PyPI: [https://test.pypi.org/account/register/](https://test.pypi.org/account/register/)
***
### Location
This event is at the Prefect offices. We strongly recommend taking the metro, because parking is limited.
**Please RSVP at least 48 hours in advance. We are required to provide a full list of attendees to the venue for security purposes.**
**STAY INFORMED**: Text "PYTHON" to 18337055131 to receive a reminder by text about your registration!
\*Legal stuff we have to say when you sign up for texts:
By signing up via text, you agree to receive recurring automated text messages from WGXC at the number you provide. We may share info with service providers per our Privacy Policy. Reply HELP for help & STOP to cancel. Msg frequency varies. Msg & data rates may apply. By signing up via text, you also agree to our [Terms](https://attnl.tv/t/bb6/r/US) (incl. arbitration) & [Privacy Policy](https://attnl.tv/p/bb6).
{Devs-On-Draft} -Tap Into Your Network - Code Meetup
\#\# Details
## **What to Expect:**
A Laid-Back Environment: Brew, Food, and Like-Minded Individuals.
Grab a beer at the bar and join in!
Networking: Short and Sweet Introductions to Kick Things Off.
Connect with fellow tech professionals, exchange ideas, and broaden your network horizon. Our meetups are designed for meaningful interactions and creating a supportive community. (Just talk and have fun!)
Agenda:
1\. Introductions
2\. Talk and Meet New People
3\. Enjoy Drafts\, Food\, and Conversation
4\. \*Drive Home Safely\*
\*\*\* ATTENTION \*\*\*
We are meeting at Bunnyman Chantilly.
Address:
14140 Parke Long Ct A-C, Chantilly, VA 20151
Learn all things Data Science and Compete on Kaggle
We will be meeting at Starbucks to learn together. Come with an online class you're already going through or an interest and we will try to connect you with a course where you can learn it. Already have a skill you want to contribute to a Kaggle Datascience competition? We will work on these too! Laptop required :)
Domain-Specific Small Language Models
Join us for another session of our study group as we continue our coverage of the book Domain-Specific Small Language Models. In this session, we will attempt to cover Chapters 5 on "Exploring ONNX" and Chapter 6, on "Quantizing for your Production Environment".
This isn't just a lecture! Come ready to ask questions, share insights, and code along. Whether you're a beginner or have some experience, this is the perfect opportunity to continue to learn together. If you plan to work with the code on your own laptop during the session, try and download the code from here https://github.com/virtualramblas/Domain-Specific-Small-Language-Models ahead of time.







