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.

Beginner

11 Lessons

1h 30min

Certificate of Completion

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.

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Explanations

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This course includes

11 Playgrounds

This course includes

11 Playgrounds

Course Overview

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...Show More

What You'll Learn

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.

What You'll Learn

Get a working knowledge of OpenWeatherMap APIs and their endpoints.

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Course Content

1.

Introduction

Get familiar with OpenWeatherMap APIs, their data sources, setup, and security considerations.
2.

Current & Forecast Weather Data Collection

Get started with collecting comprehensive weather data using OpenWeatherMap's APIs in Python.
3.

Other Weather API's Collection

Work your way through using Air Pollution and Geocoding APIs for detailed weather analysis.
4.

APIs Integration in Django

Apply your skills to integrate OpenWeatherMap APIs in Django for real-time weather data.
5.

Conclusion

Continue exploring APIs and share feedback to enhance the learning community.
6.

Appendix

1 Lesson

Tackle enhanced data parameters for weather alerts, conditions, and forecasts with One Call API 1.0.

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