What we’re about
Welcome to PyData Lausanne!
This group aims to connect any data enthusiast regardless of your level, whether you are a high level professional or just an enthusiast looking to understand the possibilities offered by data science.
We aim to have three types of talks.
- Cool stuff someone did with data (machine learning). Share your experience to inspire others.
- Technical talk about methodologies or technologies. Inform everyone of a new technique/tool you just discovered
- Tutorial on data science tools and share best practices (pydata stack or more niche library) suitable for beginners and professionals. Learn how to use base tools or increase your knowledge of them.
PyData is an educational program, and therefore we encourage everyone who wants to present and gain experience in presenting to come forward.
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This meetup will adhere to the code of conduct of numfocus available HERE (A short version is available below).
Should you want to discuss any issue or report any incident, you can talk to the organisers or report it directly to numfocus at this address: **[email protected] **or through their form available on the code of conduct.
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The Short Version of the code of conduct (At least read this one)
Be kind to others. Do not insult or put down others. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for NumFOCUS.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate.
NumFOCUS is dedicated to providing a harassment-free community for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of community members in any form.
Thank you for helping make this a welcoming, friendly community for all.
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About PYDATA
PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts across various domains a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization. We are focused around the Python ecosystem, but are also open to other languages and relevant topics that may help to better solve the evolving challenges in data management, processing, analytics, and visualization.
PyData groups, events, and conferences aim to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.
Upcoming events (1)
See all- [talks] PyData Lausanne November 2024Futurarium, Lausanne
🍁 Here we go with our 2nd session of season 3! 🍂
👇 👇👇 Here's the program 👇 👇👇
Data Analysis and Rights Advocacy through Digipower.academy
by Sofia KypraiouIn this talk, we explore how data analysis can serve as a powerful tool for both teaching and research, using the Digipower.academy platform. We will focus on the case of Uber drivers in Geneva, who utilized data access requests and collective data analysis to advocate for their working rights. We will discuss the specific data collection methods, analytical techniques, and participatory tools employed.
Using and Developing Darts: Insights and Challenges in Open Source
by Antoine MadronaAfter a short introduction to Darts and the world of time-series forecasting, we will go over the challenges associated with maintaining an open source package like Darts. From answering issues, managing contributions, handling bugs & features requests to planning the road map. By sharing our experience, we aim to provide some guidance for anyone involved in, considering contributing to or even starting an open source project.
Resources:
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NOTES
- PLEASE RSVP: If your status changes, change your RSVP accordingly! This enables us to manage reservations.
- If you are on the waiting list, we will do our best to increase the number of seats, so stay tuned.
![[talks] PyData Lausanne November 2024 cover photo](https://secure.meetupstatic.com/photos/event/1/4/7/1/event_507065233.webp "[talks] PyData Lausanne November 2024")
