Python 3: Advanced Topics - Self Paced

PrerequisitesNew

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. Two or more Python experts 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.

• Knowledge of Python equivalent to either of the introductory courses
  • Introduction for Absolute Beginners
  • Introduction for Programmers

• Knowledge of a plain text editor such as
  • gedit
  • emacs
  • Vi

• Some topics may have their own prerequisites. These are listed on each workbook.

Number of sessions: 1

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.

Self-taught with class instructor assistance

Python v. 3.x on MCS Linux

• This course is only suitable for those with Python programming experience equivalent to either of the introductory courses Introduction for Absolute Beginners or Introduction for Programmers
• The course notes as well as the exercises and solutions will be made available
• As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming.

One half day

• Programming and Scripting
• Research
• Scientific Computing
• Techlinks & IT Support Staff