Advanced Python

Initial tasks:

• Please sit near the front
   
• Open the course notes:
  https://github.com/AnnAnnFryingPan/python-advanced-jupyter
   
• To open these slides: www.slides.com/anngledson/programming-python-advanced
   
• Note there is no attendance sheet - complete feedback instead

Research-related IT Services

Described on IT Services website.

Announcements given via Research IT blog.

• Training courses teaching computing skills for Research
• General guidance and advice about research software
• Access to specialist support and consultancy e.g. code reviews
• Access to High Performance Computing (HPC) systems
• Data storage and management
• Full list of services on offer

For help and support use the Support Centre

Housekeeping

• Fire exit
• Toilets
• Course timing
  • 09:30 -- 12:00
  • 12:00 -- 13:00 lunch
  • 13:00 -- 16:00 
• Cafe on D floor (on opposite side of building)

• Strengthening python knowledge, oriented towards python numerical tools

• Does not teach all of Python or all data analysis with Python

• The aim is to teach you enough know how to find out more

Aims of the day

Teaching methods

• Interactive workshop-style course
  • Based on Software Carpentry method
  • Type along with the examples
  • Test your understanding in the exercise sessions
• Course notes
  • All examples and exercises are in the notes
  • Slides will remain online after the course

Getting help

• Sticky notes
  • Used for getting help and giving real-time feedback
  • Yellow = OK / ready to go
  • Pink = not OK (too fast, didn't understand, computer says no etc)
• Please interrupt me to ask questions
• Peer learning
  • During exercises, please help each other as required
  • Please try to be quiet during worked examples so everyone can hear

• Create a directory:

  • > mkdir C:\Work\python-programming 

• Go to the course notes:
  https://github.com/AnnAnnFryingPan/python-advanced-jupyter
  and click 'Clone or Download', then 'Download ZIP' and save to the new 'python-programming' directory.

• Unzip the file

• Start the Anaconda prompt on lab PCs

• Change directory ('cd') to 'c:\Work\python-programming' directory

• type: 'jupyter notebook

• In addition: start Spyder

• NOTE:

  • Do not use the P drive. Problems with Jupyter.
  • The course notes and sample data are permanently online.