This module will teach students how to create R and Python packages to scale coding procedures and make themselves and others more productive. Students will get introduced to how packages are structured, common workflows, the importance of testing, and how to set up basic continuous integration and deployment procedures.
This module will step through the process of building and contributing to R and Python packages. The goal is to provide you with a comprehensive picture of how to develop a high quality package. By the end of this module you should:
This module makes a few assumptions of your established knowledge regarding your programming skills. Below are my assumptions and some resources to read through to make sure you are properly prepared.
You should be familiar with the basics of:
Session | Description | Notebook | Slides |
---|---|---|---|
1 | Introduction to packages | Notebook | Slides |
2 | Package structure | Notebook | Slides |
3 | Development workflow | Notebook | Slides |
4 | Portfolio builder: Create your first package | Notebook | |
5 | Package metadata | Notebook | Slides |
6 | Source code | Notebook | Slides |
7 | Portfolio builder: Make your first open source contribution | Notebook | |
8 | Tests | Notebook | Slides |
9 | Object documentation | Notebook | Slides |
10 | Changelog | Notebook | Slides |
11 | README | Notebook | Slides |
12 | Long-form documentation | Notebook | Slides |
13 | Package website | Notebook | Slides |
10 | Other components | Notebook | Slides |
11 | Portfolio builder: Improve an open source package’s documentation | Notebook | |
12 | Continuous integration | Notebook | Slides |
13 | Portfolio builder: TBD | TBD |