A course-planning, course-map rendering and GPA-calculation web service, designed for the SFU (Simon Fraser University) student.

Overview

SFU Course Planner

What is the overall goal of the project (i.e. what does it do, or what problem is it solving)?

  • As the title suggests, this project is a course-planning, course-map rendering and GPA-calculation web service, designed for the SFU student.

Which languages did you use, and what parts of the system are implemented in each?

  • Javascript with React for the frontend
  • Python with Django for the backend
    • Serves requests to add, upload and delete courses from SQLite database
    • Responds to GPA calculation requests by using C Foreign Function Interface(CFFI) to turn compiled C function into a module, using it to calculate the result and sending the result back to the user
  • C, which also sits at the backend
    • For faster GPA calculation, as mentioned. This feature may look redundant considering the cost of CFFI itself, but will be more useful as more features will be added (calculate grades according to outline, calculate percentage of courses completed in the whole curriculum, compare grades with historical grade distributions, etc.)

What methods did you use to communicate between languages?

  • As mentioned in the previous section:
    • Javascript & Python: Via a REST API
    • Python & C: Via CFFI

Exactly what steps should be taken to get the project working, after getting your code? [This should start with vagrant up or docker-compose up and can include one or two commands to start components after that.]

  • docker-compose up, then localhost:3000 in browser
  • Note:
    • Project takes several minutes to build (for me, locally, at least)
    • Because of race conditions of different containers, please allow time for You can now view frontend in the browser. to appear in the console, before going to the page

What features should we be looking for when marking your project?

The purpose of this is not to make you write an essay, just to guide the marking so we don't miss anything important. (There will be many projects, and the TAs are human.)

  • A user can add, delete and update courses, separated into completed and uncompleted courses. For completed ones, the user can specify the grade obtained for GPA calculation.
  • While adding a course: After the course number is specified (e.g., CMPT 383), the website provides hints (instantly fetched from SFU Open API) of the course name and the prerequisites so that the user does not have to look them up manually.
  • Refreshing the page would generate a course map of all added courses with their prerequisites connected by arrows.
  • The user can use the mouse to drag courses around for better visualization, or drag arrows from a course to another.
  • Inputting all SFU CMPT courses would give a (very cool) directed graph containing all possible trajectories from start/admission to finish/graduation.
  • The user can click the GPA calculation button and view the calculated GPA of finished courses. This way, the user can try out different grade combinations.
Owner
Ash Peng
Ash Peng
VSCode extension that generates docstrings for python files

VSCode Python Docstring Generator Visual Studio Code extension to quickly generate docstrings for python functions. Features Quickly generate a docstr

Nils Werner 506 Jan 03, 2023
Documentation for GitHub Copilot

NOTE: GitHub Copilot discussions have moved to the Copilot Feedback forum. GitHub Copilot Welcome to the GitHub Copilot user community! In this reposi

GitHub 21.3k Dec 28, 2022
xeuledoc - Fetch information about a public Google document.

xeuledoc - Fetch information about a public Google document.

Malfrats Industries 651 Dec 27, 2022
Materi workshop "Light up your Python!" Himpunan Mahasiswa Sistem Informasi Fakultas Ilmu Komputer Universitas Singaperbangsa Karawang, 4 September 2021 (Online via Zoom).

Workshop Python UNSIKA 2021 Materi workshop "Light up your Python!" Himpunan Mahasiswa Sistem Informasi Fakultas Ilmu Komputer Universitas Singaperban

Eka Putra 20 Mar 24, 2022
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

Asabeneh 17.7k Jan 07, 2023
Uses diff command to compare expected output with student's submission output

AUTOGRADER for GRADESCOPE using diff with partial grading Description: Uses diff command to compare expected output with student's submission output U

2 Jan 11, 2022
A fast time mocking alternative to freezegun that wraps libfaketime.

python-libfaketime: fast date/time mocking python-libfaketime is a wrapper of libfaketime for python. Some brief details: Linux and OS X, Pythons 3.5

Simon Weber 68 Jun 10, 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea

Eugene Yan 22.1k Jan 03, 2023
Pydantic model generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.

datamodel-code-generator This code generator creates pydantic model from an openapi file and others. Help See documentation for more details. Supporte

Koudai Aono 1.3k Dec 29, 2022
Testing-crud-login-drf - Creation of an application in django on music albums

testing-crud-login-drf Creation of an application in django on music albums Befo

Juan 1 Jan 11, 2022
Proyecto - Desgaste y rendimiento de empleados de IBM HR Analytics

Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Links de acceso: Noteb

1 Jan 31, 2022
A tutorial for people to run synthetic data replica's from source healthcare datasets

Synthetic-Data-Replica-for-Healthcare Description What is this? A tailored hands-on tutorial showing how to use Python to create synthetic data replic

11 Mar 22, 2022
A simple USI Shogi Engine written in python using python-shogi.

Revengeshogi My attempt at creating a USI Shogi Engine in python using python-shogi. Current State of Engine Currently only generating random moves us

1 Jan 06, 2022
Make posters from Markdown files.

MkPosters Create posters using Markdown. Supports icons, admonitions, and LaTeX mathematics. At the moment it is restricted to the specific layout of

Patrick Kidger 243 Dec 20, 2022
DeltaPy - Tabular Data Augmentation (by @firmai)

DeltaPy⁠⁠ — Tabular Data Augmentation & Feature Engineering Finance Quant Machine Learning ML-Quant.com - Automated Research Repository Introduction T

Derek Snow 470 Dec 28, 2022
A curated list of python programming language blogs

Python Blogs A curated list of python programming language blogs Contribute Companies/Organization # A B C D E F G H I J K L M N O P Q R S T U V W X Y

Rizky D. Onto 48 Nov 15, 2022
Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.

Introduction Swagger UI allows anyone — be it your development team or your end consumers — to visualize and interact with the API’s resources without

Swagger 23.2k Dec 29, 2022
Show Rubygems description and annotate your code right from Sublime Text.

Gem Description for Sublime Text Show Rubygems description and annotate your code. Just mouse over your Gemfile's gem definitions to show the popup. s

Nando Vieira 2 Dec 19, 2022
SamrSearch - SamrSearch can get user info and group info with MS-SAMR

SamrSearch SamrSearch can get user info and group info with MS-SAMR.like net use

knight 10 Oct 06, 2022
:blue_book: Automatic documentation from sources, for MkDocs.

mkdocstrings Automatic documentation from sources, for MkDocs. Features Python handler features Requirements Installation Quick usage Features Languag

Timothée Mazzucotelli 1.1k Dec 31, 2022