This issue tracks the initial development timeline for Python 200. Our goal is to have a working beta of Python 200 finished by the end of January 2026 for most modules (see exceptions below). We will create module-specific roadmaps as well: this is the top-level tracker for the entire course build.
Some of the cloud computing modules will likely roll in later, as the infrastructure and setup is more complicated.
Timeline Overview
Analysis Module (Target window: August 18-Sept 2025)
AI Module (Target window: August 25 – Jan 31, 2026)
Machine Learning Module (Target window: Sept 1 – Jan 31, 2026)
Cloud Computing (Target window: August 12-April 15, 2026)
The cloud computing track is unique in that there are significantly more moving pieces. In addition to integrating information from other weeks, it also will involve setting up cloud resources, making sure things work for us, and that we have it set up in a way that will work for students.
February and March
This is time planned for internal testing, revisions, building up assignments, setting up instructions for virtual environment, materials for instructors, etc.
This issue tracks the initial development timeline for Python 200. Our goal is to have a working beta of Python 200 finished by the end of January 2026 for most modules (see exceptions below). We will create module-specific roadmaps as well: this is the top-level tracker for the entire course build.
Some of the cloud computing modules will likely roll in later, as the infrastructure and setup is more complicated.
Timeline Overview
Analysis Module (Target window: August 18-Sept 2025)
AI Module (Target window: August 25 – Jan 31, 2026)
Machine Learning Module (Target window: Sept 1 – Jan 31, 2026)
Cloud Computing (Target window: August 12-April 15, 2026)
The cloud computing track is unique in that there are significantly more moving pieces. In addition to integrating information from other weeks, it also will involve setting up cloud resources, making sure things work for us, and that we have it set up in a way that will work for students.
February and March
This is time planned for internal testing, revisions, building up assignments, setting up instructions for virtual environment, materials for instructors, etc.