A toolkit for visualizations in materials informatics.
-
Updated
Jun 6, 2024 - Python
A toolkit for visualizations in materials informatics.
An innovative variant of Conway's Game of Life introduces advanced states and specialized rules designed to accurately detect cross-shaped patterns.
Worked Example Miner (WEM): A Comprehensive Tool for Analyzing Java Repositories.
This was an assignment for the CFG course "Introduction to Python & Apps". It entailed importing and working with data from a pre-existing Excel file and then exporting all the results to a new Excel workbook. See README for details.
My Scientific Research Code Repository.
Python Data Analysis & Visualization: Player Size Relative to Performance
Complete Data Science, NumPy, Pandas, Matplotlib, Seaborn, Statistics, Power Bi, Machine Learning.
Small app to visualize a set of lines in a plane and which line has the highest Y value at any given X value. Plus a little random art
Personal finance tracker written in Python
Solutions to Dr. Rabiee's CE282: Linear Algebra Course (Sharif University of Technology - Spring 2024)
a program that show 4 workers. we can add a new worker with his/her information , change the worker's data and delete a worker from the list . also we can see the chart of their salaies.
Spanish notebook - Shows an exercise CoderHouse's Data Science bootcamp focused in obtaining insights after implementing Python's Matplotlib and Seaborn visualizations
Espacio de trabajo del curso Data Science en Coderhouse
In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled dataset.
Телеграм бот, позволяющий получить доступ к курсу акций.
An advanced image segmentation toolkit leveraging the Improved Intuitionistic Fuzzy C-Means (IIFCM) algorithm, specifically tailored for magnetic resonance (MR) image analysis
This project uses autoencoders to denoise MNIST images, aiming to improve handwritten digit recognition by refining classifier training data
This codes will introduce you to usage of MatPlotLib.
Add a description, image, and links to the matplotlib topic page so that developers can more easily learn about it.
To associate your repository with the matplotlib topic, visit your repo's landing page and select "manage topics."