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Presented by Theresa McKim, Ph.D., teaching assistant professor, biology, University of Nevada, Reno in collaboration with the Nevada Bioinformatics Center

Python is a high-level, general-purpose, and open-source programming language. It is emerging as one of the most popular programming languages, both for scientific computing and general use. In this Python crash course, we will cover an overview of Python and programming fundamentals and then describe how to use Python for data processing, analysis and visualization. At the end of this module, you will be able to:

• Understand the basic components of a Jupyter notebook
• Write and debug basic Python code
• Use functions, loops, conditional statements, and apply programming fundamentals applicable across computing languages
• Analyze a dataset using Python libraries built for data science
• Learn and discuss best practices for data visualization to communicate your results

Presented by Hans Vasquez-Gross, Ph.D., Bioinformatician, Nevada Bioinformatics Center

This hands-on workshop is designed to help participants master the basics of the command line and UNIX fundamentals. Through interactive sessions, you’ll learn essential skills to navigate, manage files, and perform basic program installations.

• Get started with the command line interface
• Understand and explain the directory structure of computers
• Navigate across and within files and directories
• Create, copy and delete files efficiently
• Install programs using Conda

Whether you're new to the command line, looking to build your computational skills, or hoping to meet like-minded individuals, this workshop is an excellent place to start!

Presented by Keynote Speaker Martin Krzywinski

This workshop will distill the core concepts of information design into practical guidelines for creating visual explanations of science: figures, posters and graphical abstracts. The focus will be on clarity and concision and on the idea that form follows function. You'll learn visual strategies for organization, emphasis and theme. To illustrate these guidelines concretely, Martin will walk you through redesigns of scientific visualizations from the wild.