Learn to Program: Python at USYD Online

Actions and Detail Panel

Sales Ended

Event Information

Share this event

Date and Time

Location

Location

Online Event

Event description
Learn about the fundamental concepts in programming using Python and apply them to analyse a sample research dataset.

About this Event

This training program is supported by the Deputy Vice Chancellor (Research) of the University of Sydney. Placements will be prioritised for researchers and research students at the University of Sydney. Registrants who are not researchers or research students at the University of Sydney may be moved to the waitlist. Thank you for your understanding. Please keep an eye on the Intersect website for upcoming courses at your home institution.

This course has two sessions:

  • 9:30 am - 13:00 pm on 10 Feb
  • 9:30 am - 13:00 pm on 11 Feb

An optional technical support on setting up Zoom or Jupyter Lab will start at 9 am on 10 Feb.

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 it boasts a rich set of libraries for working with data.

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:

  • Basic syntax and data types in Python
  • How to load external data into Python
  • Creating functions (FUNCTIONS)
  • Repeating actions and analysing multiple data sets (LOOPS)
  • Making choices (IF STATEMENTS - CONDITIONALS)
  • Ways to visualise data

Prerequisites

No prior experience with programming needed to attend this course.

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 Learn.intersect.org.au

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

Date and Time

Location

Online Event

Save This Event

Event Saved