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Data-science tutorials covering Python, Object-Orientated Programming Python standard libraries such as collections, itertools, math, statistics, random and datetime. The tutorials also cover the data-science libraries such as numpy, pandas, matplotlib and seaborn as well as the conda ecosystem.
My Python Journey π Welcome to my Python journey repository! π As a beginner, I'm excited to share my progress, learnings, and adventures in the world of Python programming. Whether you're a fellow newbie or an experienced coder, I hope you find something valuable here.
This repo π contains a `docker-compose.yml` file for running a Jupyter notebook π server in a Docker container π³. Easily save your notebooks and conda environments π to your local machine for simple access and restoration. Say goodbye to dependency issues and installation headaches π€ and start using Jupyter now! π
This repository is a collection of Jupyter Notebooks and datasets aimed at facilitating learning in the field of data analytics. Whether you're a beginner or an enthusiast looking to enhance your skills, you'll find valuable content here.
This is a repository for my Data Visualization project. I have used R, Tableau and Jupyter Notebook for this particular projects. Some of the inferences I could conclude by given database was that Population plays a major role in increasing CO2 Emissions.