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This course will introduce you to the Python programming language and programming by guiding you through reading data in from a file and plotting it.

This course is split over 2 days (8th June and 22nd of June)

This is a two-part course, the first part will cover:

  • Variables and assigning values to them
  • Data types
  • Functions and built-in help
  • How to use libraries/packages
  • Reading in data
  • DataFrams and manipulating your data
  • Plotting

The Second day will cover:

  • How to make a program do many things. (for and while loops.
  • How do make the code do different things depending upon the data by using conditionals (if statements)
  • How to process many data sets with a single command
  • Re-using code, how to write functions
  • How to make your code more readable.

This course will be closely following the Carpentries lesson: https://swcarpentry.github.io/python-novice-gapminder/ Previous experience has shown that the times listed in this course are not always realistic, so I have split it into 2 full sessions, this part will cover the post-lunch session

The course will be conducted in person and will run from 9:00 until 15:30 with a few breaks throughout the day and 30 minutes for lunch.

For the course, you will need your own computer with Python 3 installed. Instructions for installing Python 3 on your computer can be found here: http://swcarpentry.github.io/python-novice-gapminder/setup.html

if you encounter any problems installing python or have further queries, then please email me.

This will be an in-person course based in the Digital Scholarship Lab / Open Research Lab in the Library.


Date:
Thursday, June 8, 2023
Time:
09:00 - 15:30
Location:
Open Research Lab
Categories:
Events - Data Science Institute (DSI), Events - Doctoral Academy, Events - Research Software Engineering
Registration is now closed. See the events page for details of future sessions.

Non-attendance