hvplot

A high-level app and dashboarding solution for Python

High-level tools to simplify visualization in Python.

A repository of awesome panel examples. The apps are running entirely in the browser as webassembly apps. NO SERVER REQUIRED.

Large Scale Sea level visualizations of unstructured mesh data

Some Python scripts & notebooks for Delft3D4-FLOW turbidity current simulations

This project utilizes Python visualizations packages, such as Plotly Express, HVPlot and PyPlot/Matplotlib to create an interactive dashboard exploring the San Francisco real estate housing market. Uses MapBox API.

Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare

This is an application that fetches historical data on 1 index, 4 stocks, and 2 crypto currencies and performs analytical calculations to assist in conducting a relative analysis between the index and the crypto currencies to determine if a relationship exists and the type of relationship for the purpose of conducting portfolio analysis and Mont…

This repo is about calculating the buying power of economies based on dividing gold price by minimum wages per countries.

dashboard for visualizing F1 statistics

💃 Correlation graphs with NetworkX

A Panel-based dashboard showing recent shootings in Philadelphia using Altair, Folium, and Hvplot

This project uncovers patterns in Azuki, Cryptopunks & Boyed Ape Yatch Club NFT trading.

We created a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment.The data Martha provided us was not ideal, so we processed to fit the machine learning models. Since there is no known output for what Martha is looking for, we decided to use u…

Algorithmic trading and quantitative testing

This repo is a postGRESQL and fraud finding techniques

Used Unsupervised Machine Learning to Analyze Cryptocurrency Data

Using Sklearn, Python, & Plotly, I analyzed a dataset of cryptocurrencies with unsupervised machine learning algorithms to spot any trends that would make a client want to invest in them.

This is in regard to algorithmic trading bot with the use of machine learning to predict potential returns and actual returns.