Follow Stanford's modern software development course to build practical skills
If you want to write and test code in a real development environment rather than a classroom blackboard, this repository is a starting point. It collects assignments from Stanford University's CS146S course, providing structured material for learning current development trends. Environment setup is guided using Python 3.12, Conda, and Poetry, allowing you to begin practice without complex dependency management.
Course nature and learning goals
This repository is the official assignment space for 'The Modern Software Developer' course offered at Stanford University in the Fall 2025 semester. It focuses on experiencing modern software development processes directly rather than simply memorizing theory. Through these assignments, students handle the entire development lifecycle, from writing code to environment setup and dependency management. Specifically, you can learn how to combine the latest tools and workflows to build an efficient development environment.
Development environment setup procedure
To complete the assignments, the environment is built based on Anaconda Individual Edition with Python 3.12 installed. First, install Anaconda so that the conda command is available in the terminal, then create and activate a new Conda environment named cs146s. Next, install Poetry and run the poetry install --no-interaction command in the repository root directory to automatically fetch all dependencies required for the project. This process is an essential step in creating a reproducible development environment.
Preparation before practice
Using this repository requires a basic understanding of Python 3.12, Conda, and Poetry. It is recommended to use the latest version when installing Anaconda Individual Edition, and you should verify that your terminal configuration is correct. Since dependencies are managed through Poetry, users who have only used pip previously should familiarize themselves with Poetry's concepts and commands in advance. If errors occur during environment setup, checking the version compatibility between Conda and Poetry can provide a clue to the solution.
When to choose this assignment
This is suitable for university computer science majors or developers who voluntarily want to learn modern development practices. It is particularly useful for those who want to become familiar with environment setups that use Conda and Poetry together, or for those who want to design their learning path by referencing Stanford University's educational curriculum. However, since this repository is tailored for academic educational purposes rather than following specific industry standards or internal corporate regulations, it is appropriate to approach it for learning rather than applying it directly to practical projects. The README does not explicitly mention the license or long-term support scope, so it is recommended for personal learning use.
