Software Carpentry Lesson Materials

Motivation

I've been a Software/Data Carpentry instructor since 2015, and in that time I've delivered the SWC material in a few different ways. This repository collects in one place the various slides, speaker notes and extra bits and pieces that I've delivered for all these courses.

All of this work derives from the original Software and Data Carpentry lessons, and I'm sharing these materials under the same license as the original Software Carpentry lessons (see LICENSE.md for details).

The Carpentries:

• Software Carpentry: https://software-carpentry.org/
• Data Carpentry: http://www.datacarpentry.org/
• Library Carpentry: https://librarycarpentry.github.io/

Slide and Notes sets

Git

• 2015-11-16 Manchester:

  • Git lesson slides

• 2016-01-11 Dundee:

  • Git lesson slides
  • Git lesson notes

• 2016-10-17 Edinburgh:

  • Git lesson slides
  • Git lesson notes

• 2017-01-09 Dundee:

  • Git lesson slides
  • Git lesson notes

Make

• 2015-11-16 Manchester:
  • Make lesson slides
  • Make lesson notes

Python

• 2017-03-23 St Andrews:

  • Python lesson 01 slides
  • Python lesson 01 notes
  • Python lesson 02 slides
  • Python lesson 02 notes

• 2017-05-18 St Andrews:

  • Python lesson 01 slides
  • Python lesson 01 notes
  • Python lesson 02 slides
  • Python lesson 02 notes
  • Reproducible Research
  • NLTK examples

R

• 2016-01-11 Dundee:

  • R lesson slides
  • R lesson notes

• 2017-01-09 Dundee:

  • Introduction to RStudio slides
  • Introduction to RStudio notes
  • R for Reproducible Data Analysis slides
  • R for Reproducible Data Analysis notes

• 2017-12-04 St Andrews:

  • R lesson slides
  • R lesson notes

Jupyter Notebooks

The Python lessons I have delivered have been (mostly) through Jupyter notebooks.

You can start an instance of this repository under MyBinder, by clicking on this link, or the button below.

The Jupyter notebooks are linked directly below:

• 2017-03-23 St Andrews:

  • Variables
  • Data analysis and visualisation
  • Loops
  • Lists
  • Making choices
  • Working with multiple files
  • Functions
  • Errors
  • Defensive programming

• 2017-05-18 St Andrews:

  • Variables
  • Data analysis and visualisation
  • Loops
  • Lists
  • Making choices
  • Working with multiple files
  • Functions
  • Errors
  • Defensive programming
  • NLTK examples

Courses

2015-11-16 Manchester

• Repository
• Website
• Lead instructor: Kwasi Kwakwa

Delivered as part of the first CoDiMa Training School in Computational Discrete Mathematics, at the University of Manchester

2016-01-11 Dundee

• Repository
• Website
• Lead instructor: Leighton Pritchard

Delivered to postgrads, postdocs and staff at the University of Dundee

2016-10-17-Edinburgh

• Repository
• Website
• Lead instructor: Leighton Pritchard

Delivered as part of the second CoDiMa Training School in Computational Discrete Mathematics, at the University of Edinburgh

2017-01-09 Dundee

• Repository
• Website
• Lead instructor: Leighton Pritchard

Delivered to postgrads, postdocs and staff at the University of Dundee

2017-03-23 St Andrews

• Repository
• Website
• Lead instructor: Alex Konovalov

Delivered to postgrads, postdocs and staff at the University of St Andrews

2017-05-18 St Andrews

• Repository
• Website
• Lead instructor: Alex Konovalov

Delivered to postgrads, postdocs and staff at the University of St Andrews

2017-12-04 St Andrews

• Repository
• Website
• Lead instructor: Alex Konovalov

Delivered to postgrads, postdocs and staff at the University of St Andrews