Full-Stack-Developer Nanodegree

This repository includes the different work files of the Udacity Full-Stack-Developer nanodegree that focuses mostly on backend development with a bit of frontend development for visual rendering and web browser interactions with the backend. The tech stack that I used all along is mostly Python and some inputs of JavaScript, HTML and CSS.

Project 1: Fyurr booking app

This app was meant to be able to join the artists and the venues. It allows artists to list themselves on the platform and the same for the venues. Then each of them would indicate if they were looking for venues and talents respectively. Finally, the artists could list concerts by joining their profile to the venue and display all these informations at once.

Tech stack:

• Python
• SQLAlchemy
• Flask
• PostgreSQL

Project 2: Trivia API

This second project was aimed at interfacing an SQL database with a React frontend to manage the questions of a Trivia game. These questions would later be used to power the Quizz Gameplay.

Tech stack:

• React (already implemented in the starter code) for the browser interaction
• Python for the backend code
• Flask as the basis of the backend
• CORS for handling one page interaction
• unittest to test the different endpoints
• curl to test the requests with command line instead of browser

Project 3: Coffee shop full stack

The third project was designed to implement authentification methods based on Json Web Token (JWT) to control the access to the app.

Tech stack:

• Python for the backend code
• Flask as the basis of the backend
• Ionic for the frontend (already implemented in the starter code)
• Auth0 to power the authentification and permission service
• jose for encoding and decoding the JWT tokens
• Postman to have a visual interface when making requests to the website
• curl to make requests directly from the terminal

Project 4: Containerize and deploy an app on AWS EKS

Finally before jumping into the capstone project, I have explored the CI/CD pipelines and containerization with Docker.

Tech stack:

• Python for the backend code
• Flask as the basis of the backend
• Docker to containerize my app
• AWS EKS to host the container on Kubernetes
• awscli to in
• kubectl to interact with Kubernetes clusters and pods (from the Terminal)
• ekscli to crete the container from the Terminal

Project 5: Capstone project

For this final project, I have decided to go with the plan that was advised: building an API than stores actors and movies information into a database. Furthermore, it includes some identification to monitor the access and permissions of users.

Tech stack:

• Python for the backend code
• Flask as the basis of the backend
• PostgreSQL to host the data of actors and movies
• Heroku to deploy the app on the web
• Auth0 to power the authentification and permission service
• jose for encoding and decoding the JWT tokens
• Postman to have a visual interface when making requests to the website
• curl to make requests directly from the terminal