Hi everyone

Instats is offering a new 1-day seminar Python for R Users, running Nov 13
with professor Rebecca Barter from the Division of Epidemiology at the
University of Utah School of Medicine. For researchers who are familiar
with R, especially within the tidyverse ecosystem, transitioning to Python
offers significant advantages, particularly for working with big data and
machine learning or deep learning methods. Python's versatility and broad
applicability in the field of Evolutionary Biology make it a crucial tool
for complex data analysis and model building. To facilitate this, the
seminar is designed to help PhD students, academics, and professional
researchers leverage their existing R knowledge to quickly gain proficiency
in Python, focusing on translating concepts and techniques familiar in R to
the Python environment. Participants will gain a robust understanding of
Python's libraries and data structures, enabling them to integrate Python
into their research workflows efficiently and expand their analytical
capabilities, including with Python's substantial toolkits for machine
learning and deep learning such as Scikit-learn and Keras (for machine
learning and deep learning).

https://instats.org/seminar/python-for-r-users2

Sign up today and don't miss out on this unique opportunity to easily
transition from R to Python!

Michael Zyphur
Director
Institute for Statistical and Data Science
*instats.org* <http://instats.org>

mzyphur@instats.org

(to subscribe/unsubscribe the EvolDir send mail to
golding@mcmaster.ca)