- Setup Repo and include license, README, .gitignore
- Plan and Design the program outline including but not limited to UML diagrams and algorithms
- Begin basic outline in LaTEX
- Beginning research for background and design support
- Research for data collection
- main.py started
- Figure out data collection method
- Libraries
- Implementing machine learning algorithm
- Integrate training
- Sound/Music Development
- Begin with color association
- Multi-output random decision forest
- Training for ML algorithm
- Algorithm to either produce and use and/or just use data from wav files
- 'Artistic' graphic output
- Scientific graphic output
- Produce sound data
- Use sound data (either produced or pre-existing) as input into the ML model
- Trained model produces a color association for the sound
- Graphic data for the physical properties produced
- Colors in range from violet [400-440 nm] - red [780 nm]
- Contrast of specific color
- Circle, Triangle, Square
- Small, medium, large scales
- Frequency
- Amplitude
- Duration
- Timbre
- Octave
- Sound to shape produced
- Sound to size (of shape) produced
- Sound to location [x, y] (of shape) produced
Use the built-in continuous integration in GitLab.
- Get started with GitLab CI/CD
- Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)
- Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy
- Use pull-based deployments for improved Kubernetes management
- Set up protected environments
What was built, how it worked, what didn't work, and what lessons were learned. Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
If you have ideas for releases in the future, it is a good idea to list them in the README.
State if you are open to contributions and what your requirements are for accepting them.
For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
Show your appreciation to those who have contributed to the project.
For open source projects, say how it is licensed.
If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.