Sample application for Lightning Web Components on Salesforce Platform. Part of the sample gallery. Real estate use case. Get inspired and learn best practices.

The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python

Real- Estate is a modern real estate web application built with the MERN stack. Explore and list properties, whether for sale or rent, with advanced search features and user profiles. Discover your next dream property effortlessly.

The real estate management system is a web application designed for any real estate agency, which has an intuitive and effortless to use to interface for both its agency owner and its customers. Here owners can log in with their given ID and password in order to manage the website. The owner can post the property that needs to be sold by the agency in the property listings. The customers of the agency can register and log into the website. Here the customers can browse through various properties listed on the website which enable the customer to find the property as per his/her requirements.

A web application which scrapes several German real estate listing websites and visualizes offers in a map.

Open Real Estate Sync (openresync) is a node application that syncs (replicates) MLS data from one or more sources via the RESO Web API to MySQL or Solr, with an admin UI.

Alpha97 Estate is a modern real estate web application built with the MERN stack. Explore and list properties, whether for sale or rent, with advanced search features and user profiles. Discover your next dream property effortlessly.

A full-stack web application for browsing and managing real estate listings, built with React for the frontend and Node.js with MongoDB for the backend. Features property search, user authentication, and a responsive interface for seamless real estate exploration.

Real Estate Web Application that allows users to buy or sell property. The project is built with React/Redux and Node.js/Express.js

Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.

A web application built with Angular, MySQL and Spring Boot that lists real estate properties for sale and leasing.

The Real Estate House Price & Analytics Predictor is an advanced, interactive web application built with Streamlit, designed to provide real estate professionals, investors, market analysts, and property developers with data-driven insights and accurate price predictions.

This is a real estate web application created using NextJS and ChakraUI

This is a ready to use Laravel based web application for creating real estate websites

EstateMatch is a mobile application that uses a web-scraper to find Real Estate, sort it using AI, and display it to the user based on their preferences using a Tinder type design, making it easier to search and find your ideal property match.

A web application that blends modern design approaches with a timeless and intuitive UI, designed and developed exclusively for the local small-scale real estate business.

A real estate web application running on Django.

A web application for a Real Estate Company based in Dublin, Ireland, that allows the user to find a house, being able to filter them by location, property type, or price range.

Propmart is a real estate web application (work in progress) built with NestJS, Prisma, PostgreSQL, ReactJS, and Tailwind CSS.

Web application allowing the user to publish and consult the real estate advertisements added by users of the application or from other ad sites.

Explored various machine learning models to evaluate the best model for predicting future California home prices. Created a blockchain-based interactive web application using Streamlit to give investors access to real estate with the anticipated cryptocurrency values.

Web application to streamline Dayton's REAP (Real Estate Acquisition Process) Program

Cutting-edge web application designed to revolutionize the way real estate transactions are conducted. This platform allows users to seamlessly search for, list, and filter real estate properties for both buying and renting.

Transactional web application based on Blockchain 🔑 technology and a microservices Architecture ⚙️ to manage a free Real Estate 🏠 market.

A modern real estate web application that displays available properties for sale and rent. Users can browse listings, view property details, and filter results by location, price, and type. Built with a clean UI and real-time data integration to help users easily find their next home or investment opportunity.

Python Flask Web Application

A Real Estate Marketplace built with Angular and Spring Boot is a web application that facilitates the buying and selling of real estate properties.

A Real Estate Management System project in Django is a full-stack Django web application that offers a clean, descriptive, and interactive user interface for viewing and registering for real estate. Responsive pages and tabs for home, about us, and featured listings.

This project is a responsive and readable housing template designed using Next.js, Tailwind CSS, and TypeScript. It provides a basic structure for creating a web application focused on housing listings or real estate.

Real Estate is an open-source web application designed to provide a platform for buying, selling, and renting properties. The application allows users to browse available properties, view property details, and contact property owners or agents. The project is built using Python Django and Django Rest Framework