APP_ID

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

This API provides the current air pollution data for any specific location. Moreover, it provides air pollution forecasts and historical air pollution data for a location of our choice.

> **Note:** Historical air pollution data is available from November 27, 2020, onwards.

This API provides the air quality index and data comprising concentration levels for a number of pollutant gases. These include: 
* Carbon monoxide (CO)
* Ammonia (NH$_3$)
* Nitrogen monoxide (NO)
* Nitrogen dioxide (NO$_2$)
* Ozone (O$_3$)
* Coarse particulate matter (PM$_{10}$)
* Fine particles matter (PM$_{2.5}$)
* Sulfur dioxide (SO$_2$)

# Description of air quality index levels

Learn to get the current, forecast, and historical air pollution data for a specific location.

Introduction

Current & Forecast Weather Data Collection

Other Weather API's Collection

APIs Integration in Django

Conclusion

Appendix

Air Pollution API