yusufakcakaya / deployment-with-flask

Deployment with Flask 🎮

The Mission

Games obsessed manager has a nice little side project for you: vizualize some interesting aspects about his poorly scraped steam data. He's managed to compile a json file containing data on some 1000 odd games sold on the popular digital games storefront steam.

He'd like you to show him a proof of concept to translate data, visualize said data and deploy a little server so he can see if it is worth investing more time in. So, in these case I tried to clean data visualize it and create a frame with flask.

Data sets are cleaned at Jupyter Notebook and then created a basic flask framework with VS Code.Than a container created by Docker and deployed by Heroku. For Flask application you can use this URL: https://git.heroku.com/gamesdeployment.git

Which dataset?

Orijinal dataset placed on repo(Deployment-with-Flask) by name database.json

Installation

• Pull requests are welcome.
• or https://github.com/yusufakcakaya/Deployment-with-Flask.git

Repo Architecture

Deployment-with-Flask
│
│   
│  
│__ __ deployment              : pip environment
│
│__ __ static                  : static image file
|
|__ __ templates               : templates for Flask
|
|__ __ Dockerfile              
|
│__ __ Procfile                : for Heroku
│
│ 
│__ README.md                  : explains the project
│
|
│__ app.py                     : main file for flask
│  
│__ data_cleaning.ipynb        : data cleaning file
│
│__ database.json              : main data .json
│                
│__ games.db                   : flask database
│

Visuals

Same visualisations:

Timeline

• Type of challenge: Learning
• Duration: 2 Weeks
• Deadline : 28/12/2021 16:30
• Team challenge: Solo

Good Luck!