Cobra_Pro

🌦️ Introduction

In this project, you’ll build a Weather App in Python that retrieves live weather information from an online API.
You’ll learn how to work with HTTP requests, JSON data, and API keys — essential skills for modern developers.

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🧠 Key Concepts Covered

Concept	Description
APIs	Application Programming Interfaces — services that let your code talk to other systems.
Requests Module	A Python library used to send HTTP requests and receive data.
JSON Parsing	Converting JSON data into Python dictionaries for easy handling.

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🧰 What You’ll Need

• Python 3 installed
• requests library (install with pip install requests)
• Free API key from OpenWeatherMap

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💻 Step-by-Step Code

File Name: weather_app.py

import requests

# 🔑 Replace with your own API key
API_KEY = "your_api_key_here"
BASE_URL = "https://api.openweathermap.org/data/2.5/weather"

print("🌤️ Welcome to the Python Weather App!")

city = input("🏙️ Enter city name: ")

# Build full URL with parameters
params = {
    "q": city,
    "appid": API_KEY,
    "units": "metric"
}

response = requests.get(BASE_URL, params=params)

if response.status_code == 200:
    data = response.json()
    main = data["main"]
    weather = data["weather"][0]
    
    print(f"\n📍 City: {data['name']}")
    print(f"🌡️ Temperature: {main['temp']}°C")
    print(f"💧 Humidity: {main['humidity']}%")
    print(f"☁️ Condition: {weather['description'].title()}")
else:
    print("⚠️ City not found or API error.")

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🧩 Example Output

🌤️ Welcome to the Python Weather App!
🏙️ Enter city name: London

📍 City: London
🌡️ Temperature: 17.5°C
💧 Humidity: 62%
☁️ Condition: Light Rain

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🧠 How It Works

1. The user inputs a city name.
2. Python sends a GET request to the OpenWeatherMap API.
3. The app retrieves the JSON response, which includes temperature, humidity, and condition.
4. It then displays the data neatly in the console.

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⚙️ Improvements You Can Add

• Convert temperature between Celsius and Fahrenheit.
• Display wind speed and pressure.
• Build a GUI version using tkinter.
• Create a daily forecast version with extended API endpoints.

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📝 Summary

• You learned how to interact with an external API using Python.
• You practiced JSON parsing and error handling.
• You built a real-time Weather App ready for future improvements.

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