The Fall 2024 Scientific Computing Training Series begins October 2, featuring five webinars on Python, JupyterLab, and R, aimed at enhancing research services and scientific collaboration across all Cornell campuses. Webinars will be held on Wednesdays from 9-10 a.m. ET, with an optional 30-minute discussion period immediately following each session.

Webinar Schedule:

Introduction to Python

October 2
Chris Myers will provide an overview of Python, covering its programming language, software ecosystem, and essential concepts. This session is ideal for beginners as well as more experienced Python users seeking a new perspective.

Introduction to JupyterLab for Python/R

October 9
Christopher Cameron will showcase Jupyter Notebooks, highlighting their use in scientific communication through a blend of text, code, statistical analysis, and visualizations. This session is geared towards those who work with or are interested in Jupyter Notebooks.

Python for Computational Science, Data Science, and Machine Learning

October 23
Chris Myers will explore key components of the Python software stack used for numerical computing, scientific algorithms, data processing, visualization, and machine learning.

Getting Started with R

October 30
Zilu Wang will introduce new users to the RStudio interface, its features, and best practices, including the use of Quarto for documenting and sharing data analysis and research.

Data Analysis with R 

November 6
Christopher Cameron will present examples of data analysis and visualization in R, helping researchers assess whether learning R is beneficial for their work. Attendees are encouraged to submit their own examples for potential inclusion.

Register here for individual webinars or for the entire series.

Cornell’s Scientific Computing Training Series is sponsored by the Center for Advanced Computing, Weill Cornell Medicine’s Scientific Computing Unit, ITS, and the Clinical and Translational Science Center.