Ready to leave everyday

Software developers should design the structure like you are going to leave today. It doesn't mean to write document all the day. For management purpose, elaborative work note helps clear responsibility and progress. User manual or technical documentation is better left aside before the development gets stable.

Make sure your design could be altered by merely change some settings, and then the user or next developer could continue their work on same environment or migrated site. Take computer games as example. The project manager or another developer could change score calculation by altering numbers. Or they can change the entire visual style and drawing by change folder name.
Take website as example, by changing settings, the user could change database, change relative paths over entire site, change the levels of access privilege, change the loader for different types of resources, etc.

Loyal to your profession.Design the structure to be a combination of tools that always ready for users to change.

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docker: storage and services

Docker Volume Without going through Docker, accessing files within a Docker image is not easy. Therefore, Docker has a volume feature that allows users to specify the location on the host file system to serve as the access directory for Docker. In other words, a volume is the NFS of a Docker image. Example: Using a volume to store SQLite files. ref: SQLite for NodeJS: https://www.sqlitetutorial.net/sqlite-nodejs/ Initialize the project. # Setup ExpressJS framework express --view=pug 240324_ejs_sqlite_docker npm init npm install express npm install sqlite3 Test: npm start Initialize docker Since the directory already contains NodeJS, the Docker Daemon will assist in the setup. Create new docker image docker build -t atfuture7/sqlite01 . Create a folder for Docker, create a container, run it. mkdir docker_vol docker run -p 3000:3000 -v ./docker_vol:/data --name exp_sqlite atfuture7/sqlite01 After confirming that the container can run co...

Guide to Preserving HuggingFace Models in Google Colab Environments

Conclusion: Step 1: find the model path: ls ~/.cache Step 2: Copy the entire folder to Google Drive: Step 3: Set model path to the subfolder under snapshot: My Story: I initially began exploring Generative AI (GAI) and Google Colab through Stable Diffusion. In the past, as I mainly wrote server services and console applications, I was less familiar with data science modes like R and Jupyter that can maintain a paused state. I didn't quite understand the heavy burden on Colab of creating a temporary Stable Diffusion WebUI with .ipynb, as suggested by popular guides. I just found it troublesome that connections often took a long time and then dropped, requiring a restart. Recently, while testing new versions of the Stable Diffusion model, and facing challenges due to Colab's policies making various versions of WebUI difficult to run successfully, I started researching how to write my own test programs in Colab. Eventually, I understood that Colab is ess...

Review old/new stuff: Angular 17

When I reviewed Angular recently, I discovered that it had just undergone a major revision three months ago, v17. The notes here are summaries of common features incorporated into v17. Install Angular ref: https://angular.io/guide/setup-local npm install -g @angular/cli Create new project ng new proj_name cd proj_name If the old project needs to be migrated to v17 control flow: ref: https://youtu.be/36Hcx7kRYDg?si=pmZcRkQHIlmguK3K ng generate @angular/core:control-flow Activate ng serve Data Flow ref: https://angular.io/tutorial/first-app/first-app-lesson-09 Service can be regarded as a custom class (similar to custom modules written in expressJS) ng generate service obj_name In the sample program, enumeration of array is used. this.housingLocationList.find(housingLocation => housingLocation.id === id); The concept is find( function(element) => { return (condition; )}) ref: https://developer.mozilla.org/en-US/docs/Web/JavaScript...

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