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matplotlib

Praktisi Mengajar Teknik Informatika Universitas Nusa Putra 2024

Simple Pie and Bar chart creation

Код лабораторных работ по курсу "Цифровизация физических процессов" ВШПИ 2 курс.

lib-proteus-8.13

A tool for analyzing Telegram chats

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

A pricing graph of the 930, 964, and 993 generations of Porsche 911s based on data from Cars & Bids.

Live data visualisation via Matplotlib

Este repositorio contiene los dos casos de estudio realizados como parte del Diplomado de Extensión en Data Science. En ambos casos, se utilizaron técnicas de programación en Python y Data Science para analizar conjuntos de datos y extraer información valiosa.

More toolkits for matplotlib

AnsiBisection is a root finder of a single variable function using bisection method, written in Python.

A library to help us make waterfall plots.

store and open your matplotlib figures as pickled files

Simulation program developed in order to investigate the the influence of the Dzyaloshinskii-Moriya interaction on the emergence of topologically nontrivial magnetic structures in two-dimensional systems. The simulation is designed to explore the conditions under which skyrmions, antiskyrmions and bimerons manifest in the presence of competing interactions.

Scripts for the output data post-processing, analysis and visualization are also included.

Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn

My approach on solving mathemetical modeling labs (university course)

Code from mechanic physics labs (university course)

My attempts to solve homework from the Moscow Institute of Physics and Technology course

All left code from labs 1-3 years(university studing)