Introduction to Python November

Event Name Introduction to Python November
Start Date 14th Nov 2018 10:00am
End Date 14th Nov 2018 5:00pm
Duration 7 hours
Description

Data Fluency for research is organising an introductory Python workshop with instructors from Monash Bioinformatics Platform.

This is a free workshop and tickets are now available on our Eventbrite page.

The workshop will be taught in a similar style to Software Carpentry workshops. Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing.

This beginner-level hands-on workshop is designed to introduce the basics of working with data using the Python programming language. Participants will learn about Python fundamentals including data types, conditionals, looping and functions. The latter half will focus on applying the concept for real-world data analysis and a brief introduction to plotting (data visualisation). This session is recommended to participants with little or no knowledge of Python. This workshop will be a building block to prepare you to carry out your own reproducible analysis and increase your productivity.

Learning Objectives:

  1. What is Python and why should you use it?
  2. Introduction to basic programming concepts
  3. Introduction to libraries
  4. Data analysis and plotting using Python

Who: The course is aimed at graduate students and other researchers. Beginners to Python are welcome and encouraged! You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Monash graduate students will be able to claim credit hours towards this workshop by providing evidence of successful completion of the workshop.

Setup Requirements: Participants must bring their own laptop (Windows, Mac, Linux) with charger and be able to connect to eduroam. No software installation required, just a web browser. Tools and data will be provided on the day.

Contact: Please email datafluency@monash.edu with queries.