Python

Python Crash Courses

University Libraries at the University of North Carolina at Chapel Hill
UNC Research Computing

Setup

Installing the Anaconda Distribution.

If you run into problems during installation, please come 30 minutes early to the first session for help.

Session 1

We’ll introduce fundamental Python concepts like variables, object types, and indexing.

Session 2

We’ll work with more complex concepts like exception handling and user-defined functions. Then, we’ll explore some third party packages.

Getting Help!

• Library Data Services
• Odum Statistical Walk-in Help
• Research Computing (and UNC’s clusters)
  • Open OnDemand (Longleaf Access Required)

How to continue learning

• Exercises and solutions for practicing Python
• Exercises and solutions for praciticing Pandas
• Practice Python
• Python Projects - Beginner to Advanced
• Python Projects You Can Build
• Automate the Boring Stuff with Python
• Python Programming for the Humanities
• Python Data Science Handbook This free ebook emphasizes Numpy, Scipy, Matplotlib, Pandas and other data analysis packages in Python, assuming some familiarity with the basic principles of the language.
  • Whirlwind Tour of Python
• Are you used to working in R? Check out this Data manipulation R-Python conversion guide and The Struggles I Had When Switching from R to Python

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