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Integrating the OpenWeatherMap APIs in Python
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.
4.5
11 Lessons
1h 30min
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- Get a working knowledge of OpenWeatherMap APIs and their endpoints.
- Develop a deep understanding of location-based weather data and forecasts using OpenWeatherMap APIs.
- Generate current indices and historical weather and pollution data using OpenWeatherMap APIs.
- Get hands-on experience building a functional Python application using OpenWeatherMap APIs and Django.
Learning Roadmap
1.
Introduction
Introduction
Get familiar with OpenWeatherMap APIs, their data sources, setup, and security considerations.
2.
Current & Forecast Weather Data Collection
Current & Forecast Weather Data Collection
Get started with collecting comprehensive weather data using OpenWeatherMap's APIs in Python.
3.
Other Weather API's Collection
Other Weather API's Collection
2 Lessons
2 Lessons
Work your way through using Air Pollution and Geocoding APIs for detailed weather analysis.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
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