The goal of this project is to explain and to make clearer how is a blockchain structured at the very core. It's not built with the intention to replicate an advanced blockchain like Bitcoin or Ethereum

for Dublinbike_pengpeng

🏢51job website js reverse crawl data and visual ⛲display

پنل مدیریت سرور اس اس اچ تحت وب با قابلیت مدیریت کاربران، مانیتورینگ ترافیک و تونلینگ. نصب یک کلیکی برای سرورهای لینوکسی. Web-based SSH server management panel with user management, traffic monitoring, and tunneling capabilities. One-click installation for Linux servers.

flask实现微信企业号通讯录管理

Vue upload images to qiniu(s3 like) storage and support async upload Vue. 上传图片到七牛，支持服务端 token 策略、自动上传等

This project is created utilizing Machine Learning Algorithms, the Flask API for Web Applications, and cloud-based platforms such as Heroku, based on user reviews of food's tastiness.

An essential security asset, the credential manager securely stores, generates, and evaluates passwords, offering a robust solution for safeguarding sensitive information.

手写数字识别的Web应用

The project focuses on customer sentiment analysis for Jumia, aiding informed online decisions. It collects and analyzes product comments to determine sentiments and implements a decision-making algorithm. Additionally, it includes product price prediction system using regression techniques.

Revision for Flask and APIs

🚢 Titanic survival outcomes using various classification. It includes comprehensive approach to data preprocessing, training, and evaluation.

A blockchain mnemonic generation and security testing system developed based on Python Flask, strictly following the BIP39 standard protocol, providing blockchain users with comprehensive mnemonic generation, verification, management and analysis tools.

Welcome to the Flask Development Hub! Here, you'll find a carefully selected collection of resources and tutorials dedicated to mastering Flask. Immerse yourself in the world of web development using Flask, explore new features, and enhance your coding skills through practical learning.

Deploy 🚀

The Diabetes Prediction project uses machine learning models (SVC, Decision Tree, Logistic Regression) to predict diabetes based on health data. The app predicts diabetes outcomes using inputs like glucose, BMI, age, and more. It also features a Flask web app and trained models for real-time predictions and deployment.

学生管理系统-哈工程17 932 数据库

A blockchain-powered carbon credit management system enabling government-regulated issuance, usage tracking, and industry-level transfers through a Flask-based web dashboard and a Solidity smart contract.