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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

**Geocoding API** allows users to search for locations using their names and geographical coordinates. Geographical coordinates allow for a location to be specified accurately. This API is particularly useful in cases where the user may require the geographical coordinates for a given location or the location's name given some geographical coordinates.

Geocoding refers to the translation of any geographical location name to its corresponding geographical coordinates—latitude and longitude. The reverse of this process is called reverse geocoding. We can use the geocoding API to perform both operations for different cities, areas, districts, states, and countries.

Learn to generate geographical coordinates with a location name and vice versa.

Introduction

Current & Forecast Weather Data Collection

Other Weather API's Collection

APIs Integration in Django

Conclusion

Appendix

Geocoding API