Open Science Office Hours - – Open and Reproducible Data Visualization with demos in Python

Please see further below for English version

Atelier: Outils de visualisation de données ouverts et reproductibles avec Python

Vendredi, le 10 mai 2024
16 h 00 HNE
Quiz, boisson et collations inclus !

Thomson House Restaurant et sur Zoom.
3650 rue McTavish, Montreal, QC H3A 1X9

Inscription gratuite : Cliquez-ici

Workshop: Open and Reproducible Data Visualization with demos in Python

Friday, May 10, 2024
4:00 p.m. EST
Trivia, drink and snacks included!

Thomson House Restaurant or join on Zoom.
3650 McTavish St, Montreal, QC H3A 1X9

Registration is FREE: Click Here

Kendra Oudyk
PhD Candidate, McGill University

This talk explores the principles and practices of open and reproducible data visualization, with demonstrations in Python. We will cover best practices for creating transparent, shareable, and reproducible visualizations, emphasizing the importance of open-source tools and reproducible workflows. Attendees will learn how to create a wide range of visualizations, and how to document their code for full reproducibility. Whether you are new to data visualization or looking to improve your skills, this talk will provide you with the knowledge and tools you need to create effective and transparent visualizations. Visit the event web page for more information.

Contact:
open.science.office.hours [at] gmail.com
tosi-traineecouncil.neuro [at] mcgill.ca

Open Science Office Hours (OSOH) is an initiative led by Neuro trainees, supported by the McConnell Foundation and Tanenbaum Open Science Institute. We organize events, provide one-on-one support, and curate resources to make it easy for neuroscience researchers at all levels to integrate Open Science practices in their work.