Session 4 - (1/30)

Icebreaker question

• What is one thing you wish you understood but don't?

Learning objectives

In this session we will learn about using conda for package management and we will introduce python as a powerful language for scientific computing. By the end of this session you will be more familiar with the following topics:

• Installing conda and managing conda environments for installing software
• Launching jupyter notebooks on your local system
• The python programming language for scientific computing

Review and Discussion

• Presentations of student GitHub Pages
• Troubleshooting git
• Link to Lecture 4 slides: Introducing conda for package management, and the python programming language

In class exercises

• Tutorial 4.0: conda installer
• Tutorial 4.1: jupyter notebook

Assignments

• Start thinking about a problem you might be interested in developing a tool to solve. Specifically think about what will be the data available (input) and what you want as the answer (output). We will start discussing project ideas next week (in a very preliminary way).
• Python tutorial chapters 1 and 3
• Tutorial 4.2: GitHub forking and Python assessment

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