Diving into the world of Tracking CO2 Emissions from our software or code. Code Carbon is a lightweight open-source Python Library that lets you track the Co2 emissions produced by running code.

👣 Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).

🌏Forcast CO2 emissions using a Machine Learning models based on vehicle specifications like engine size, cylinders, and fuel consumption.

This library opens up the idea of the CO2-countdown to creative communities of coders, designers and artists using the p5*js project.

CO2 emission regression analysis on the Canada dataset using various regression techniques.

World CO2 Emission Dashboard

CO2 Interactive dashboard inspired by Thu Vu's video on her youtube channel. Made in python with Panel and Hvplot

The web-based GUI for demonstration of data mashups in the project Experience with data mashups and report/demonstrate at Tampere University

Nearly two thirds of UK homes fail to meet long-term energy efficiency targets

Library and API to calculate CO2 emissions for personal mobility.

A Python programme that analyses CO2 emission data from 1997 to 2010. This programme prints data, provides brief of a given year, displays and compares Year vs. Emission graphs for chosen countries, and generates a separate data file for chosen countries. It was a self-paced project that Guru 99 provided.

Further work on the paper "Reducing Global Carbon Footprint based on MARL" by "Valentin Kahn".

Java desktop application to minimize CO2 emissions, aiding in environmental sustainability by providing tools for carbon footprint measurement and reduction strategies.

Carbon footprint calculator for large scale digital investments (country or city scale).

HACK AND HARVEST Hackathon 2021

If you liked my analysis, pls upvote my notebook!

World Co2 Emissions Exploratory Data Analysis , Visualization & Story Telling Using Python

Repository for the project for Practitioner's Challenge from the Department of Statistics at LSE and Capgemini. Our group specifically researched drivers and risk factors of EV market, in order to create a data-driven CO2 emission model and suggest decarbonisation policies to achieve CO2 emissions goals.

CO2 optimized development platform for business applications

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