This event will be of interest to researchers, data scientists, and professionals working at the intersection of bioinformatics, computational biology, and precision medicine.

Join us for a deep dive into how bioinformatics and data science are being used to map microRNA (miRNA) associations and analyse disease similarity using cutting-edge techniques.

In this talk, Dorothea Grkovic and Yelyzaveta Kyrylova, bioinformatics interns at the Cyprus Institute of Neurology and Genetics, will present their open-source platform that integrates 11 public biomedical datasets into a unified, ontology-mapped system.

The database enables:

* SQL querying of miRNA–disease, miRNA–target, lncRNA, SNP, and drug associations
* Disease–disease similarity analytics using Jaccard scores
* Visualizations with t-SNE, clustering, heatmaps, and interactive networks

Whether you’re into biomedical research, data integration, or computational biology, this is an event not to miss!

PyData Cyprus

Christos Christodoulou

Nick Sorros

Valeria

Aleksandr Mitichev

Georgia L.

Abdulaziz Alomair

Sara Lashin

Pavlos Tsiantis

hg7852008

Building an integrated, ontology-mapped database of miRNA associations

Online event

**🚀 Announcing the PyData Belgium Kick-Off Event (in collaboration with Python User Group BE)!**
The wait is over! We are happy to announce the very first meetup of PyData Belgium.
To kick things off, we're holding a special joint event with our friends at the Python User Group Belgium. Join us for an evening dedicated to data science, machine learning, community, and more, nearby the train station in *Leuven ✨*.
Our inaugural meetup is sponsored by **Dataroots**. A huge thank you to them for hosting us and supporting the launch of this community!

🗓️ **Agenda**
You're welcome from 18:30 onwards. Food & drinks will be provided.
**🎾 Session 1: Scalable LangGraph Templates: Bringing Them to Life in Reflex** \- by [Baturay Ofluogly](https://www.linkedin.com/in/baturayofluoglu/)
In this session, we’ll explore how to build and visualize scalable LangGraph workflows by integrating them with Reflex, creating interactive and polished proof-of-concept chat applications.
**⚾️ Session 2: From Scripts to Software: Structuring Your Python Projects** \- by [Chidi Nweke](https://www.linkedin.com/in/chidi-nweke-a3835a201/)
Learn how to move from simple Python scripts to robust, maintainable projects. Using a project as an example, I’ll share my process, along with practical tips for structuring code, organizing files, and writing maintainable applications.
**⚽️ Session 3: Strengthening Belgium’s Python Community - A Group Discussion** \- moderated by [Murilo Kuniyoshi Suzart Cunha](https://www.linkedin.com/in/murilo-cunha/)
An open conversation bringing together members of the Python User Group Belgium and PyData Belgium to share ideas, identify needs, and explore how we can best support and grow the country’s Python community.

We look forward to seeing you there! Feel free to share this event with friends and colleagues who might be interested.
Join us for an evening of great talks and networking! More details to follow soon! 🔜

Pydata Belgium

Murilo Cunha

Dom Sileika

Carolina Vergara

tumi

Valentyn

Daniel Borek

Leonard Stimpfle

Avisha Bhiryani

Mattias De Coninck

Anna

Himanshu Sharma

Lode Nachtergaele

PyData Belgium kick off 🚀 (x Python User Group Belgium)

Dataroots

**Speaker: José Bethancour**t, Ingeniero de Soluciones Senior, Confluent

**Topic**: Introduction to Kafka Connect

**Description**:
Kafka Connect is a powerful framework for integrating Apache Kafka® with external systems, making it simple to move large data sets in and out of Kafka without writing custom code. In this session, we’ll cover the fundamentals of Kafka Connect, how it works, and showcase practical examples of commonly used connectors (e.g., databases, cloud storage). Attendees will learn how to set up and configure connectors to streamline data pipelines and accelerate real-time integration use cases.

**Kafka Connect** es un marco potente para integrar Apache Kafka® con sistemas externos, lo que facilita mover grandes conjuntos de datos hacia y desde Kafka sin necesidad de escribir código personalizado. En esta sesión, abordaremos los fundamentos de Kafka Connect, su funcionamiento y presentaremos ejemplos prácticos de conectores comúnmente utilizados (por ejemplo, bases de datos, almacenamiento en la nube).

Los asistentes aprenderán a configurar y establecer conectores para optimizar los flujos de datos y acelerar casos de uso de integración en tiempo real.

PyData Panamá

Arnulfo Reyes

David Alberto

Alexander Barroso

Gerardo Nuñez Pitty

Jesus Fuentes

Angel Nereira

Jaime Oscar Barrial Castillo

Alice Richardson

Mavelin Ati

Erick Perez Cazorla

Jose Quesada O.

Ariel Herrera Fernández

Kerstin Voglauer

Raul

Milton Bermudez

Gino Portacio

RaulEnoc Gonzalez

Hamilton Marenco

Christian

barOdy

Kafka Meetup w/PyData Panama

Hi everyone,

After a long break, we're excited to announce the return of the PyData Piraeus chapter with our **4th Virtual Meetup**!

Join us on **Friday, September 19th** at **7 PM** for an engaging session with **Vladimir-Vadim Iurcovschi**, who will be presenting on **Modern Time Series Forecasting**!

**Abstract:**
In this tutorial, we will explore a range of feature engineering techniques for time series forecasting using popular machine learning algorithms such as XGBoost, LightGBM, and CatBoost. We'll begin by transforming time series data into a tabular format and demonstrate how to create window and lag features, as well as features that capture seasonality and trends.

We'll cover best practices for encoding categorical variables, decomposing time series, identifying outliers, and avoiding common pitfalls such as data leakage and look-ahead bias. Additionally, we’ll touch on more advanced topics like intermittency and hierarchical forecasting.

The session will also delve into cross-validation methods - specifically backtesting methods suited for time series data. We'll examine why traditional K-fold cross-validation is inappropriate for time-dependent datasets and highlight alternative approaches along with their trade-offs.

Finally, we’ll review best practices for evaluating model performance. This includes a comprehensive overview of error metrics, discussing their strengths, weaknesses, and the contexts in which each should be used.

**Bio:**
Vladimir is a Senior Full-Stack Data Scientist with extensive experience in machine learning, statistics, programming, and cloud technologies. His research interests include forecasting, pricing, natural language processing (NLP), and interpretable machine learning. Outside of work, he enjoys traveling, solving algorithmic challenges on LeetCode, and diving deeper into machine learning research.

LinkedIn: https://www.linkedin.com/in/vladimir-vadim-iurcovschi-6a8620163/

Join us for the meetup on Friday, September 19th at 7:00 PM!
\- https://meet\.google\.com/swk\-zamj\-gkf

We look forward to seeing you!
The organizing team

PyData Piraeus

Vladimir Iurcovschi

George Prokopakis

Marios G

hüseyin susever

Alex Giannakopoulos

Mohamed GadAllah

jithu

Konstantinos Giasemis

Vasilis Tzastoudis

Afroditi

nikolas.konidis

Anisha Gupta 

Olympia Karavasili Arapogianni

Lina Musabeh

Paulo Henrique

Tamara 

Vaggelis Emmanouil

Manos Antoniou

Muhammad

ofer S.

4 Virtual PyData Piraeus meetup: Modern Time Series Forecasting

New to Python or data in general? Whether you're learning your first print() statement or figuring out what a CSV is, this is your space.

Beginner Tambayan Tuesdays is a casual, 30-minute drop-in/drop-out session where we share beginner wins, ask questions, and learn together. No pressure, no lectures, not even a meeting, just kwentuhan and community. =)

See you at DEP Discord -> https://discord.com/invite/buDgydz7J9
and look for the #python-beginners channel.

Data Engineering Pilipinas - a PyData group

Engramar Bollas JP

Ciara Gale Bautista

Charles

Maikelah

andreanicolesenson2

Ezeckiel

Erica Salac

rhidzkhan.ahmad99

Rheden Padilla

Angelica

Beginner Tambayan Tuesdays

PyData

Rechercher {networkName}

Groupes

{PRO_NETWORK_NAME} est sur Meetup Pro avec plus de {PRO_MEMBER_COUNT} membres sur {PRO_GROUP_COUNT} Meetups dans le monde entier. Meetup Pro est l'outil professionnel de choix pour organiser et déployer un réseau d'utilisateurs, de partenaires, de contributeurs et de membres.

This group is operated by NumFOCUS, Inc. PyData is a program of NumFOCUS, a U.S.-based 501(c)3 non-profit. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including Python, Julia, R, and more.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) governs this meetup. You can submit a report of any potential Code of Conduct violation here: https://numfocus.typeform.com/to/ynjGdT 

Thanks for making PyData a welcoming and friendly community!

NumFOCUS, Inc.

PyData

PyData

Qui sommes-nous ?

Rechercher PyData

Événements à venir

Groupes