matplotlib-pyplot

A Unix, Windows, Raspberry Pi Object Speed Camera using python, opencv, video streaming, motion tracking. Includes a Standalone Web Server Interface, Image Search using opencv template match and a whiptail Admin Menu Interface Includes picam and webcam Plugins for motion track security camera configuration including rclone sync script. watch-app allows remotely controller camera configuration from a remote storage service name. Uses sqlite3 and gnuplot for reporting. Recently added openalpr license plate reader support.

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Resources for teaching & learning practical data visualization with python.

To visualize function call flow for a C/C++ program using gdb and python

Creative coding scripts and outputs using vanilla matplotlib

Image processing examples with Numpy, Scipy, and Scikit-image

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

This repository contains jupyter notebook and other resources made by me during learning Data Science

NumPy fundamentals for tensor computation; Matplotlib for data visualization

Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.

image-processing exercises.

Plotly tutorial in Python - Graphing library

🤖 카카오톡 코로나 알리미

Temperature based RPI fan controller.

A python based sorting visualizer built with the help of Matplotlib animations

Como obter os dados históricos e analisar ações da bolsa utilizando o Pandas

Example of a way of bringing the Python 3 matplotlib.pyplot.fill_between function to 3D plots.

A Perfect Repository For Data Anaysis with Jupyter Notebook.📈📉

Using K-Means algorithm for customer segmentation due to credit card behavior

This repository contains an implementación to detect people with mask to prevent from COVID-19

Data cleaning, analysis and visualization of Paris metro traffic (Python, Pandas, Matplotlib, iPyLeaflet, Kepler.gl).

to keep myself motivated toward the daily habit of programming.

Tool to run tegrastats and parse the obtained log file to extract useful data into a csv. It also allows for automated graph creation between values desired from the data parsed.

📄 Programa em python que realisa análise em texto usando recursos da API Algorithmia.

This Python project's goal is to model the collision of multiple galaxies through the use of an optimized N-Body problem engine.

Pytorch implementation of the "Dermatologist-level classification of skin cancer with deep neural networks" research paper. Smaller dataset supplied by Udacity.

Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Customer attrition analysis of telecommunication company to identify the cause and conditions of the churn.

An awesome,Free and open-source API for plotting graphs for any formula/equation with a wide variety of customizations and daily updates! made with love by Denzven