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matplotlib

Visualization of common sorting algorithms using Matplotlib in Python.

Real-time microphone signal and spectrum monitor with interactive GUI using Tkinter and Matplotlib.

An interactive 3D cubic visualization.

Performed Exploratory Data Analysis (EDA) on the Google Play Store dataset using Python. Leveraged pandas for data cleaning and matplotlib for visualizations to analyze categories, ratings, installs, pricing, and update frequency. Created clear charts and dashboard-style visuals to uncover trends driving app popularity and user satisfaction.

dantro is a python package for handling, transforming, and visualizing hierarchically organized data.

Integrated into data-intensive projects, it supplies an easy way to define a customizable, configuration-based data processing pipeline. See utopya for an example.

Praktisi Mengajar Teknik Informatika Universitas Nusa Putra 2024

This python package provides tools to produce pgf figures to be used with LaTeX.

Explore how multi-digit Ising mappings enhance low-precision solver performance with a Python implementation and visual insights.

Simple Pie and Bar chart creation

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

lib-proteus-8.13

A data science project focused on analyzing a car market dataset from Turkey in 2020. The goal is to explore the data, apply various analytical techniques, and derive insights. The specific direction of analysis will be determined through exploration, with potential for building predictive models or visualizing trends in the market.

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.