Summary and Schedule
This is a Byte-Sized RSE lesson on Continuous Integration, part of the Byte-Sized RSE Series.
Learning Objectives
At the end of this lesson, learners should be able to:
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. Introduction | 
What is automation in the context of software development, and why is it
beneficial? How does Continuous Integration (CI) enhance the software development process? What tasks can be automated using CI? Why is integrating small code changes regularly preferable to integrating large changes infrequently? How can CI be extended to Continuous Delivery (CD) for automating deployment processes?  | 
| Duration: 00h 15m | 2. Example Code | FIXME | 
| Duration: 00h 25m | 3. Defining a Workflow | FIXME | 
| Duration: 00h 35m | 4. Tracking a Running Workflow | FIXME | 
| Duration: 00h 45m | 5. Build Matrices | FIXME | 
| Duration: 00h 55m | Finish | 
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
Setup
- Shell with Git version control tool installed and the ability to navigate filesystem and run commands from within a shell
 - Python version 3.8 or above installed
 - Understanding of Python syntax to be able to read code examples
 - Pip Python package installer
 - Visual Studio Code installed (ideally the latest version)
 - Account on GitHub.com
 
Shell with Git
On macOS and Linux, some version of a shell (e.g. bash)
with Git will be available by default and no installation is needed.
If you do not have a bash shell installed on your system and require assistance with the installation, you can take a look at the instructions provided by Software Carpentry for installing shell and Git.
Python
Python version 3.8 or above is required. Type python -v
at your shell prompt and press enter to see what version of Python is
installed on your system. If you do not have Python installed on your
system and require assistance with the installation, you can take a look
at the
instructions provided by Software Carpentry for installing Python in
preparation for undertaking their Python lesson.