This data project on Python uncovers and visualizes untapped patterns regarding all Nobel Prize laureates up to date.

Task-2 Completed as a DSBA Intern @ The Sparks Foundation

Task-1 Completed as a DSBA Intern @ The Sparks Foundation

A Python package for M. Müller implementation of the "Equation of Time - Problem in Astronomy" to calculate the Equation of Time based on the individual effect of eccentricity and obliquity (v1.4.2)

In this Study, To answer the Questions on the given Dataset we have used pandas, matplotlib and tkinter for the GUI

This GitHub repository contains Python code for data analysis and population prediction in the Czech Republic up to the year 2050. The code is written in Python and utilizes the Pandas and Matplotlib libraries.

Make plotting physics easier with stylesheets and context manager helpers

Plot in NumPy arrays directly, overlay NumPy plots straight over video real-time, plot in Jupyter without a single loop

Welcome to the Data Visualization Course repository by Muhammad Sheraz. This repository is your go-to resource for mastering the art of data visualization. Whether you're a beginner, a data enthusiast, or a professional in the field, this course is designed to enhance your skills and proficiency in creating impactful visualizations.

For backup and up to date versions of the main analysis codes regarding DIHPB tests

This GitHub repository contains code for a student performance prediction model utilizing linear regression. The model is built using relevant student data features and implements one-hot encoding for categorical variables. The repository includes data preprocessing, model training, evaluation, and prediction visualization using matplotlib.

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

standard styles for scientific figures in matplotlib

Demonstrating how changes in input image resolution affect the algorithm's output

This repository was created to learn and practice graph showing and data visualization. The goal is to gain experience in creating compelling and informative visualizations.

This project involved developing a Monte Carlo Simulation using Python, implemented with libraries like NumPy, Pandas, and Matplotlib within Visual Studio. The program's primary goal is to generate figures illustrating compound interest results over time for a specified amount.

Matplotlib style for scientific publications

A python package for tagging, managing and presenting very large numbers of images created by matplotlib.

Matplotlib styles for scientific plotting

This is a repository for data visualization learners. Here i use matplotlib wish is a quite famous library of python.