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Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
Preparing courses, live labs, and learning resources.सामग्री लोड हो रही है, कृपया प्रतीक्षा करें...
In this hands-on project, we will apply the HTTP networking concepts covered throughout this chapter—HTTP Requests, Query Parameters, JSON Parsing, and Network Exception Handling—to build a functional, real-time Command-Line Weather Data Fetcher.
We will connect to the open, free Open-Meteo API (which requires zero API keys or credit cards) to look up city coordinates and fetch current meteorological telemetry.
Our weather application performs a two-stage API pipeline:
"Mumbai" or "London") into exact latitude and longitude coordinates.https://geocoding-api.open-meteo.com/v1/search?name={city}&count=1https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lng}¤t_weather=true0 = "Clear Sky", Code 61 = "Slight Rain") to user-friendly status descriptions.How data and code flow step-by-step
Network drops raise requests.exceptions.ConnectionError. Always wrap API calls in a try-except block targeting requests.exceptions.RequestException.
Handle 404 responses gracefully by informing the user that the city was not found rather than letting the application crash with a traceback.
Extend the Weather Data Fetcher to accept a command-line flag (--unit C or --unit F) that converts temperatures between Celsius and Fahrenheit.
self.session = requests.Session() instantiated inside the WeatherFetcher constructor?WEATHER_CODES.get(code, ("Unknown", "❓")) do if an unlisted code is encountered?In the next lesson, we will continue your intermediate Python journey with Using print vs logging (9: Debugging and Logging).
Continue learning with hands-on practice, examples, and exercises in the upcoming topic.
| Previous Lesson | Next Lesson |
|---|---|
| Practical API Example | Using print vs logging |
Test your understanding of this lesson with 5 questions. Each question has one correct answer.