Python for Research at UNSW Online

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Introduction to DataFrames and Plotting in Python

About this Event

Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data.

This workshop is an introduction to data structures (DataFrames using the pandas library) and visualisation (using the matplotlib library) in Python. The targeted audience for this workshop is researchers who are already familiar with the basic concepts in programming such as loops, functions, and conditionals.

We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research.

Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.

You’ll learn:

  • Introduction to Libraries and Built-in Functions in Python
  • Introduction to DataFrames using the pandas library
  • Reading and writing data in DataFrames
  • Selecting values in DataFrames
  • Quick introduction to Plotting using the matplotlib library


Learn to Program: Python or any of the Learn to Program: R, Learn to Program: MATLAB or Learn to Program: Julia, needed to attend this course. If you already have some experience with programming, please check the topics covered in the Learn to Program: Python course to ensure that you are familiar with the knowledge needed for this course.

For more information about prerequisites and programming pathways for this course, please visit the course page on our website.

The Intersect approach to training

At Intersect, we deliver hands-on courses that targets the day-to-day software and technology problems that researchers face.

For more information about this course and others, see our course catalogue, or visit

For more information about how we allocate tickers and address no-shows, see our training policy.

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