Data Structures | Timebox Blogs

[utterances-bot]

Data Structures | Timebox Blogs

Data Structures Write Up Blog Python Model code and SQLite Database. From VSCode using SQLite3 Editor, show your unique collection/table in database, display rows and columns in the table of the SQLite database. From VSCode model, show your unique code that was created to initialize table and create test data. Lists and Dictionaries In VSCode using Debugger, show a list as extracted from database as Python objects. In VSCode use Debugger and list, show two distinct example examples of dictionaries, show Keys/Values using debugger. Blog Python API code and use of Postman to request and respond with JSON. In VSCode, show Python API code definition for request and response using GET, POST, UPDATE methods. Discuss algorithmic

https://akhil353.github.io/student/2024/04/17/data-strucutres.html

[tarunja1ks]

1.82/2 I think you had put all of the screenshots but you can better follow the one on the chrome browser by putting not onlyt he screenshot of the code but the screenshot of the actual function to "demo" it better. For the rest of them however, I believe you have earned 2/2 for them for the exemplary work since it was neat and organized without question.

[tarunja1ks]

For completeness I would give you a 0.92/1 and for look sI would give a 0.90 out of 1 as it is organized but it is not enough to break the 0.9 base.

[tarunja1ks]

Tarun Jaikumar is peer grader Overall grade: 96% Total (3.8+1)/5 so 4.8/5, Grade 0.96/1 (Extra credit done)

Collections Completeness 1/1, Accuracy 0.90/1 All database entries shown with different users however I would prefer for you if you didn't use Thomas Edison as it could be flagged as teacher entry as Mr. Mortensen mentioned today.

Lists and Dictionaries Completeness 0.95/1, Accuracy 0.92/1 I like how you had included the debugger version of the lists and dictionaries but try to next time describe the actual content in these items.

APIs and JSON Completeness 0.88/1, Accuracy 0.98/1 You seemed to have shown all of the screenshots and have explained them well, however please next time to remember to include 200 ok status to ALL postman crud requests.

Frontend Completeness: 0.97/1, Accuracy 1/1 You seemed to have done well on this and have explained all of the points very well, however you can still elaborate more on it.

Algorithm Analysis Completeness 1/1, Accuracy 1/1 You have clearly described the ML code and I like how you included how each algorithim works however I would reccomend trying to deepdive into unsupervised deep learning more and experiment with accuracy returned from that research.