Skip to main content

Flask-- Getting familiar with Python

    Walk through example provided by Flask. https://flask.palletsprojects.com/en/1.1.x/

    After years of software development, "learn a new programming language" became abstract. If a 'language' is specialized, it probably could be taken as a tool/package. What I need to know is its APIs. What it can do, how the procedural goes and where to start are main purpose I should figure out. Learning a tool won't take too much time. 


    If the language is for general purpose, probably they all seem very similar........

    C++, Java, PHP, C#, Python, etc. are little difference to me. Of course each owns its specialty. Just because that they can do almost anything, How well a programmer masters these language might depend on how many packages/extensions the programmer knew. And this could be easily solved by internet. I assumed that, once seeing possible usage, an experienced programmer still not knowing how to use it is impossible. 

    Or, I'm talented? I'm flattered, if so. 

    This is the minor obstacle when I started learning Python. I may complete its syntax, logic and definition in one day, but I don't know what to do then. There are no problems I want to resolve by programming. I tried to learn python through Pandas or bioinformatic. Finally I thought website might be a good field while I learned deploying websites on Azure. Learning Flask is a side-product, ha ha ~

    Structure of Flask is beautiful. Its compact. For web pages, its tedious. Developers can't be too careful on dealing with potential problems a user may encounter in prior, and it costs many many pages. When learn NodeJS, the concept, one page web application, depicted the structure that one controller dispatches different content to users. There are no real pages for user to walk through. Flask is the first product I encountered that match this concept. Flask is compact. (Maybe the tutorial is a great advertisement Pallets made for Flask? Anyway, well done! ) 




Comments

Popular posts from this blog

Bookmark service (MongoDB & Spring REST) -2/2

    I accidentally deleted my development VM. I got lucky having the habit of taking notes. This blog is useful. Development VM is doom to be lost. Rebuild it waste time, but having a clean slate is refreshing~. What concerns me more is my AWS free quota this month is reaching 85%. The second VM I launched but never being used might be the one to blame. (Of course, my mistake.) I terminated the wrong VM. Now I got Linux 2 built. Great, just threw away everything happened on AMI.  1st layer: Page Page class   Originally, I need to prepare getter/setter for all class properties for Spring. By using lombok, I only need to create constructors. lombok will deal with getter/setter and toString(). But there are chances to call getter/setter, but how? .......Naming convention.... Capitalize the 1st character with the prefix get/set.  Annotation @Data was used on this class.  Repository class Spring Docs: Repository https://docs.spring.io/spring-data/mongodb/docs/3....

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...

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...