|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Assignment||73||2 years ago||27||mit||Python|
|Assignments and Graders for Discrete Optimization on Coursera|
|Coursera Clone||43||a year ago||2||gpl-3.0||HTML|
|Vlainic.github.io||27||4 years ago|
|My GitHub blog: things you might be interested, and probably not...|
|Coursera Aml Docker||16||3 years ago||4||Dockerfile|
|Docker container with Jupyter Environment for Coursera "Advanced Machine Learning" specialization.|
|Mooc Lti Jupyter||15||7 years ago||1||mit||CSS|
|Map Coursera users (via LTI) onto a collection of Jupyter notebooks servers run in Docker containers|
|Books||9||2 years ago|
|Coursera Dl Docker||7||5 years ago|
|Docker image for (https://github.com/coursera-dl/coursera)|
|Stanford_cs1_compilers||2||7 years ago||Java|
|This is the repo used to house information for the coursera compiler course work.|
Clone the repo to your local environment, you have to seperately install all the dependencies for backend and frontend.
For Backend, go to the backend folder (cd Backend) and run
or, you can use the website
add your environmental variables
Create a .env file in the root directory of the backend folder and add your tokens there with respect to the config files variables.
For Frontend, go to the frontend folder (cd Front-end) and run
To run a development environment, you can use the
npm start command. This will start up a development web server on port 3000 for frontend, and a nodemon-watched API server on port 8080.
Note: you have to do npm start for backend and frontend seperately.
You can test the backend, express endpoints using command ( npm test )
Coursera Clone is dockerised and docker hub repository can be found here https://hub.docker.com/repository/docker/ayushverma/coursera/general
If you use Docker and Docker Compose, you can start the entire project with: