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Explore the OpenWeatherMap APIs in Python to get weather data, air pollution data, use the Geocoding API, and integrate these features into a Django web application.

openweathermap-django.tar.gz

Django

This course is a practical guide on how to use the OpenWeatherMap APIs to retrieve current and forecast weather data for a specific location. You will learn how to get weather forecasts for 5 days, with data after every 3-hour interval.

Moreover, you will learn how to get the current, forecast, and historical air pollution data for a specific location. This course also introduces the Geocoding API, which is a simple tool to get geographical coordinates by using the name of the location, and vice versa. You’ll wrap up by integrating the OpenWeatherMap APIs into a functional web application using the Django framework.

Lastly, this course also provides some recommendations and resources to further explore the OpenWeatherMap APIs.

Integrating the OpenWeatherMap APIs in Python

## About OpenWeatherMap APIs

[OpenWeatherMap](https://openweathermap.org/) APIs allow us to get weather data for any given location. This data comes with a wide range of meteorological parameters that extend from the historical weather data from the past forty years to the current weather, minutely forecasts over the next two hours, and hourly forecasts over the next week. OpenWeatherMap APIs come with a variety of subscription packages that provide a number of services and features to match a variety of user requirements.

The weather products are based on open data and technologies. These APIs provide access to large amounts of weather data generated from fundamental global forecast models based on convolutional neural networks and various machine learning technologies. Next, these APIs are enhanced with radar-based nowcasts, weather satellite data, a wide network of weather stations, rain gauges, and other weather sensors.

This course is designed for developers interested in developing weather applications. The OpenWeatherMap APIs enable the development of high-quality weather applications that can be delivered to the market quickly.

This course is also meant for users interested in integrating weather APIs into their existing applications. This course will provide an understanding of the various APIs that OpenWeatherMap offers with hands-on examples.

To take this course, a basic understanding of the following is required:
* Python programming language
* Django, a Python-based free and open-source web framework
* Working knowledge of API and their integration
* Basic knowledge of HTTP requests and their responses

# About OpenWeatherMap APIs

[OpenWeatherMap](https://openweathermap.org/) APIs allow us to get weather data for any given location. This data comes with a wide range of meteorological parameters that extend from the historical weather data from the past forty years to the current weather, minutely forecasts over the next two hours, and hourly forecasts over the next week. OpenWeatherMap APIs come with a variety of subscription packages that provide a number of services and features to match a variety of user requirements.

Become familiar with the OpenWeatherMap APIs.

Introduction

Current & Forecast Weather Data Collection

Other Weather API's Collection

APIs Integration in Django

Conclusion

Appendix

Introduction to the Course

About OpenWeatherMap APIs