Welcome Pythonistas!

We meet monthly for good discussion and Python shenanigans. You can show off a project you're working on or any problems that we can help solve. We're always looking for people to give lightning, beginner, and skill-based talks. Message us if you're interested in speaking!

You can watch our past meetings at watch.pyorl.org

See you all there 😃

The Orlando Python User Group

Michael duPont

Sofiia Kosovan

Wilber Hernandez

DavidN

Will

stephen.a.quinlan

Partha

Paul

Kevin Kawchak

blaiselabs

Ralph Morris

Robin j Vermillion

Nate

Eric Andersen

Phil Philpot

Carlos Avalos

Pythonic Monthly Meeting

Online event

**Code & Chill at PyLadies Winter Meetup ☕🐍❄️🧣**

We want to invite you to join our cozy Winter Meetup at [inovex](https://www.inovex.de/en/) vibrant 🌟 and exclusive space.

**❄️** **Join us** for an evening of **Python tech talks** and hands-on exploration, diving into the latest tools and ideas to spark your next project. 🐍☕ For our beloved PyLadies, we are raffling **amazing gifts** at our meetup, join us for a chance to win!

**Attendee Policy**
We believe knowledge is for everyone, but our events focus on engaging, educating, and empowering women in technology. Non-female attendees are required to bring a female friend to help maintain gender balance.

**Plan**
**☕** **18:30 Warm welcome, drinks, chat**
**❄️** **18:50 Introduction**
**❄️** **19:00 Lessons Learned - MCP & Agents @inovexGPT**
A proof of concept in which an agent is able to answer questions about specific code and create related resources on GitLab using workflows and a connection to a GitLab MCP server. The focus lies on the architecture, the challenges during development, and the most important findings from the project. We also show the agent in action in a live demo.
_
**[Denise Hartmann](https://www.linkedin.com/in/denise-hartmann-a6a601212/)** (Data / Machine Learning Engineer)
With a background in mathematics and data science, Denise brings her expertise as a data and machine learning engineer to [inovex](https://www.inovex.de/en/). Her focus is on analyzing data in combination with the application of artificial intelligence, particularly in the field of generative AI. As part of inovexGPT, she has been sharing her knowledge of AI for some time now to develop efficient solutions.

**[Robin Pavkovic](https://www.linkedin.com/in/robin-pavkovic-628704294/)** (Data / Machine Learning Engineer)
After completing his master's degree in computer science with a specialization in machine learning, Robin Pavkovic is now contributing his expertise as a data and machine learning engineer at [inovex](https://www.inovex.de/en/). His focus: human-machine interaction through natural language processing and the creative potential of generative AI.

**❄️** **19:20 Break, food, drinks, chat**

**❄️** **19:50 How applications travel to the end user**
_
**[Nadya](https://www.linkedin.com/in/nshakhat/)** is a Platform Engineer at [Celonis](https://www.celonis.com/). She is a Certified GCP Professional Architect and Data Engineer.

☕ **20:10 Drinks & Networking**

Can't wait to see you!

Pyladies Munich

Laysa Uchoa

Yulia Barabash

Zuzanna Cz

Phuong Mai

Natalie Kniazeva

Olesia Shcherbenko

Ezgi

Alina

Jeff Fan

Tetiana Klymenko

Loredane Nery da Silva

Andreas

Yulia Rönsch

Alana Misyuk

Kateryna Shpynova

Julia Scholz-Köberlein

Ingrid Stevens

Isha

Anna

ANGELA zeta

PyLadies Winter Meetup

inovex Gmbh 

We are continuing our Study group online for the time being.
We are now meeting online in the San Diego Python Discord server! Here is the link to join: [https://discord.gg/8GpWuVvdbQ](https://discord.gg/8GpWuVvdbQ)
There is a "meetup" voice/video channel that we will be using!

We may start meeting in person soon! This will be discussed at the meetup. We are considering having some online, some in-person. Decisions, decisions!

Every Saturday we meet up with the larger Python community (including San Diego PyLadies (http://www.meetup.com/sd-pyladies), Open BioInformatics San Diego (https://www.meetup.com/Open-Bioinformatics-SanDiego/) and San Diego Artificial Intelligence (https://www.meetup.com/SanDiegoAI/)) to chat, learn, and hang out.

Our study group is for everyone on their Python journey, whether you're just starting out, an experienced pro, or anywhere in between. There's no formal instruction, just a bunch of folks who like to code. Sometimes we talk about a specific subject, sometimes answer questions, whatever!

Python Community Code of Conduct (http://www.pythonsd.org/coc): Python is much more than a software language. Python is a vibrant community made up of members from around the globe with a diverse set of skills, personalities, and experiences. It is through these differences that our community experiences great successes and continued growth. Overall, we're good to each other. We contribute to this community not because we have to, but because we want to.

San Diego Python Users Group

David Fischer

David Lord

Diane Chen

Jorge L Gimeno

Melanie Arbor

Alex M

daniel.byshovets

Craig Shepherd

Mark Buckley

Online: SD Python Saturday Study Group

**PyBerlin: December’s event**

**Location: W3.Hub, 4th floor**

**Agenda:**
6:30 pm – Doors open: snacks, drinks, networking
6:55 pm - Welcome from PyBerlin
7:00 pm - Welcome from the sponsor - Bluefish AI
7:10 pm – How I Learned to Stop Worrying and Love Generators // Paweł Wiszniewski
Python’s generators offer a simple, elegant way to build lightweight data pipelines. In this talk, we’ll break down generator functions and expressions and walk through practical Data Engineering examples: streaming large datasets in chunks, transforming records without exhausting memory, and using yield for clean setup and teardown. A concise tour of how generators can make data workflows more efficient—and more elegant.

Speaker's bio:
Paweł is a Senior Data Engineer and founding member of the Data Platform team at Flink SE, where he builds tools and processes that empower data scientists, analysts, and business teams across the company.

7:40 pm – Moving beyond Slop Coding // Matt Harrison
AI can type faster than you. However, it has been trained on lots of naive or poor code (and a little decent code). Let's explore how you can take advantage of software engineering (and Python) best practices to help tame the bias of the AIs.

Speaker's bio:
Matt teaches Python and Data Science. He has a CS degree from Stanford University. He is a best-selling author on Python and Data subjects. His books: Effective Pandas, Illustrated Guide to Learning Python 3, Intermediate Python, Learning the Pandas Library, and Effective PyCharm have all been best-selling books on Amazon. He just published Machine Learning Pocket Reference and Pandas Cookbook (Second Edition). He has taught courses at large companies (Netflix, NASA, Verizon, Adobe, HP, Exxon, and more), Universities (Stanford, University of Utah, BYU), as well as small companies. He has been using Python since 2000 and has taught thousands through live training both online and in person.

8:10 pm – Why is your Python code slow? Recommendations for improving performance // Cristián Maureira
Abstract:
It's very likely that throughout your journey with Python, you've heard people say that Python is slow. While there is a gap between interpreted and compiled languages ​​that favors compiled languages, Python has ways to improve the performance of your programs, but these aren't widely known among coders.
In this talk, we'll explore some tools and programming patterns that will help you improve the performance of your programs, thereby improving the speed of your applications, tests, and products.
After the presentation, you'll have a list of techniques you can apply to your code, as well as the necessary steps to continue exploring code optimization.
No prior knowledge of code profilers or advanced techniques is required to attend this talk.

8:40 pm - Networking
9:10 - closing

This event will be only in-person. Please check our Code of Conduct and official health regulation in Berlin before coming. If you feel some signs of sickness, please consider skipping this event and attending another time. We will have plenty of events in different formats in the future.
Looking forward seeing you all!

PyBerlin

Jacek Filipczuk

Anastasiia Tymoshchuk

Mikalai Syty

Yenny Cheung

Francesco Bruzzesi

Алан Юлдашев

Harsh Vardhan

Yulia Vilensky

Nima Nooshiri

Soeren Sonnenburg

Obdulia

Andrey Kuchko

Kelley Becker

Dr. Fatih Tekin

Nick

Nicolas Jadot

Kate De 

Maya Hilwani

Pila louis

Felix Pitterling

PyBerlin 56 - December event

w3 Hub

**Virtual Workshop: Advanced Safeguarding for AI Inference Pipelines**

OpenAI recently received a court order to retain output logs, highlighting that **AI privacy can no longer be an afterthought**, it must be **front and center when deploying AI workloads**.

However, privacy in AI is still evolving, with much of the focus currently on training-time privacy and far less attention paid to **privacy during inference**. As we begin scaling prototypes into production-ready systems, it is essential to analyze our workflows and **intentionally integrate privacy-preserving techniques**.

In this workshop, we will focus on practical use cases for building AI applications, explore what can go wrong, and experiment with various privacy-enhancing methods tailored to different use cases.

**In this workshop, you will learn:**
1\. The basics of LLMs and how production\-ready applications are built using them
2\. The various privacy risks that can arise when using LLMs
3\. A conceptual overview of privacy\-preserving techniques: Differential Privacy\, Federated Learning\, and Homomorphic Encryption
4\. How to build an AI pipeline that includes integrated privacy safeguards
The session will include live demos and self-paced exercises. Attendees should be comfortable
with Python

**Tentative Agenda**

6:00 pm: Intro
6:05 pm: Community Announcements
6:15 pm: Workshop
6:50 pm: Q&A
7:00 pm: Community Announcements
7:10 pm: Networking and Debrief
7:30 pm: End

PyLadies of San Francisco

Alla Barbalat

Wen Lee

Cynthia

Lawrence L

Nhi Nguyen

k raghukiran

Erin C

PyLadies San Francisco Virtual Workshop

Python Software Foundation Meetup Pro Network

그룹

{PRO_NETWORK_NAME}은(는) Meetup 프로로서 전 세계 회원 수가 {PRO_MEMBER_COUNT}명 이상이며 Meetup이 {PRO_GROUP_COUNT}개에 달합니다. Meetup 프로는 사용자, 파트너, 기여자, 회원의 네트워크를 조직하고 소통할 수 있게 해주는 전문적인 툴입니다.

The Python Software Foundation (PSF) is a 501(c)(3) membership organization devoted to advancing open source technology related to the Python programming language. 

The PSF Meetup Pro account financially supports approved Python-related meetup groups around the world.

Phyllis Dobbs

Python Software Foundation Meetup Pro Network

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