A weather data generation tool for building energy system simulations. Pull, Transform, Export.
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Updated
Jul 17, 2025 - Python
A weather data generation tool for building energy system simulations. Pull, Transform, Export.
🌤️💻 WeatherAppDisplay is a project that enables the display of temperature and weather conditions. 🌡️🌦️ It utilizes APIs to fetch real-time weather data and provides a user-friendly interface for viewing the current temperature, weather conditions, and other relevant information. 📊🌎 Stay informed about the weather with WeatherAppDisplay! 🌞🌧
The webapp for AixWeather. A weather data generation tool for building energy system simulations. Pull, Transform, Export.
This app is going to be a simple EPW weather visualizer.
Farmtech is a tool that aims to help the Tamilnadu farming community optimize crop production. The global demand for food greatly outstrips that for supply, and there is an urgent need for interventions to address this balance.
Node.js backend for a RESTful API delivering real-time weather updates in Sri Lanka, featuring Heroku PostgreSQL integration and Swagger documentation.
Python code for a Weather Forecasting Application
Digital tools for food processing, crops and livestock farming.
Weather Data & History Tracker is a web application designed for tracking real-time weather data as well as manually entered weather conditions.
This repository contains solutions to common mapper and reducer problems in Hadoop using Python
A Weather Dashboard app utilizing OpenWeather API for current and five-day conditions. Previous searches are added to a list for quick retrieval of weather data. App is mobile friendly!
This Weather API displays current weather conditions by fetching and displaying real-time weather information, such as temperature in Fahrenheit and Celcius, humidity,wind speed,visibility,pressure,latitude and longitude for a specific location.
Developed a machine learning system to predict flight delays using historical flight and weather data from Kaggle. The pipeline includes data ingestion, storage, and analysis. Trained an XGBoost model to accurately predict delays based on source city, destination city, and date.
Fetching Weatherdata for coordinates
Determining types of Weather Events that cause the most casualties and economic Impact
National Wind Database Task 3
Weather Exploratory Data Analysis , Visualization & Story Telling Using Python In Jupyter Notebook
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