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nasdaq-python-script's Introduction

NASDAQ-Python-Script

Technologies Used

  • Python 3.10
  • Aiohttp 3.8.3
  • Amazon S3
  • Amazon QuickSight
  • Black

Script written in Python, takes BigMac index data from NASDAQ of all countries and sends to the Amazon S3 and visualise by Amazon QuickSight. The script takes a set of data from https://data.nasdaq.com/data/ECONOMIST-the-economist-big-mac-index/usage/quickstart/api and saves it to Amazon S3.

Example of Big Mac Index - Romania - https://data.nasdaq.com/data/ECONOMIST/BIGMAC_ROU-big-mac-index-romania



Next, the script sends email notification to the specified email address that the data was uploaded on S3 bucket.


Script creates a data visualization based on the TOP countries with the highest Big Mac index in July 2021 using Amazon QuickSight.

Official link to visualised data:
https://eu-central-1.quicksight.aws.amazon.com/sn/embed/share/accounts/646507693275/dashboards/2ab4aa4c-c6d9-4e2a-adcb-cd8b19567d76/sheets/2ab4aa4c-c6d9-4e2a-adcb-cd8b19567d76_b3e238ab-67cc-4332-816c-c9da64ca3cd3/visuals/2ab4aa4c-c6d9-4e2a-adcb-cd8b19567d76_3433c8b9-c115-4324-a2ba-5353ea1f5097?directory_alias=tutorialdan

You may need to be logged in into Amazon account to see visualised data in the given link above.

Otherwise check the picture below how it looks.

Setup

  • To run this project, you need to install Python then create and active virtual environment
$ python3 -m venv env
  • Clone repo and install packages in requirements.txt
$ git clone https://github.com/fortyfortyy/NASDAQ-python-script.git
$ cd ../NASDAQ-python-script
$ pip install requirements.txt
  • Run script
$ python main.py

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