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Instructor-led course

Provided by: University Information Services


This course has 3 scheduled runs. To book a place, please choose your preferred date:


2019


2020


[ Show past events ]

Events available

Python 3: Advanced Topics (Self-paced)
Prerequisites


Description

This course is part of the Scientific Computing series and is suitable for people who have Python experience equivalent to either of the introductory courses: Introduction for Absolute Beginners or Introduction for Programmers

These sessions consist of a selection of self-paced mini-courses, each taking at most a half-day. Python expert(s) from the UCS will be present to answer questions or address difficulties with these. Attendees can select from the available topics to most closely meet their individual needs. Attendees are welcome to attend more than one session to work through multiple topics. If an attendee finishes a topic with time to spare they may select another, and so on.

Target audience
  • All current University members (departments and colleges)
  • Further details regarding eligibility criteria are available
Prerequisites
  • Knowledge of a plain text editor such as
    • gedit
    • emacs
    • Vi
  • Some topics may have their own prerequisites. These are listed on each workbook.
Topics covered

Topics available:

  • Checkpointing
  • Comma-separated value files
  • Error handling
  • Interoperation with Fortran
  • Numerical programming
  • Parsing the command line
  • Pickling objects
  • Process management
  • Regular Expressions
  • Unit testing [OO]

[OO] These topics have a further prerequisite of the Object Oriented Programming: Introduction course.

Format

Self-paced with class instructor assistance

Taught using

Python v. 3.x on MCS Linux

Notes
Duration

One half day

Themes

Events available