Gioco dell'Impiccato in Python!
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Updated
Aug 31, 2024 - Python
Gioco dell'Impiccato in Python!
Welcome to the Coin Crawler Project! This project is designed to crawl and scrape data about various cryptocurrencies from CoinMarketCap using the Scrapy framework and a Flask web service.
Rating: (6.8/10) The pygame module is a versatile tool for creating and manipulating game elements, including colors, bars, slots, buttons, and popups, making it user-friendly and flexible.
This is a simple Python script designed to perform a TCP port scan on a specified target. It uses the socket module to establish connections with each port and reports whether each port is open or closed. The script also includes error handling for common exceptions such as host resolution failures and connection errors.
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
This is a voice assistant for desktop to perform tasks just by giving voice commands.
Rating: (7/10) The Python code is a Kivy application for managing user authentication and registration for the "GUUF IT Department App", integrating functionalities like email sending and password hashing.
Rating: (7/10) The Python program creates a puzzle game using the Pygame library, controlling enemies by collecting colored foods. It initializes the environment, creates classes, and implements the NEAT algorithm for neural network control.
Rating: (8/10) This code generates a 3D environment using the Ursina game engine, importing modules, defining ground tiles, generating random paths, and storing terrain, and initializing the app.
Rating: (4/10) This Python script simulates circuits using PySpice, importing libraries like NumPy and Matplotlib. It defines voltage divider, diode circuits, subcircuit definitions, DC sweep analysis, and simulates each circuit using the simulator.
Rating: (5/10) The project simulates autonomous cars navigating a maze-like environment using neural networks and genetic algorithms. The cars navigate through obstacles, avoiding collisions and maximizing distance. The simulation provides a visual representation of such training.
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