Hi everyone! I just finished a project i am excited to share a clean, simple weather app that runs right in you terminal.

Instead if building a complex UI, i focused on writing a robust Python script that talks to a real-world API. It was a fantastic way to practice data fetching, error handling and secure coding practices.

For anyone learning Python, I wanted to break down exactly how i built it, what i learned and how you can build one too.

How I Approached It My goal was to create a script where i could just type in a city name and get the current weather. I broke the problem down into a few steps:

1.The Toolkit: In Python, the requests library is the gold standard for making HTTP calls. I knew I’d use that to talk to an external API.

2.Securing My Secrets: You never want to hardcode your API key into your code. So, the first thing I did was set up a .env file. I use the python-dotenv library to load this file and the os library to read the API key as an environment variable (os.environ.get(“API_KEY”)). This is a crucial security practice.

3.Making the API Call: I wrote a function get_weather that takes a city name. Inside this function, I built the API request for OpenWeatherMap, passing my city, API key, and units=metric as parameters.

4.Parsing the Data: The API sends back a JSON file. The requests library has a built-in .json() method that automatically converts this into a Python dictionary. This made it incredibly easy to access the data I needed, like data[‘main’][‘temp’] or data[‘weather’][0][‘description’].

5.Handling Errors Gracefully: This was the most important part. What happens if the user types a fake city? Or my API key is wrong? I wrapped my entire request in a try...except block. This allows me to “catch” specific HTTP errors and give the user a friendly message (like “City not found”) instead of having the whole script crash.

What Skills You Need This project is fantastic for cementing core Python skills that are used everywhere:

1.Core Python: Understanding functions, strings, and the if name == “main”: block.

2.Virtual Environments: (It’s a best practice to use a venv!)

3.Package Management (pip): Installing and using third-party libraries like requests and python-dotenv.

4.The requests Library: Knowing how to make GET requests and pass parameters.

5.JSON & Dictionaries: This is a big one. You learn to navigate nested Python dictionaries to find the exact data you want.

6.Error Handling: Using try...except blocks to build robust, reliable code.

7.API Key Management: The professional way to handle secrets using .env files.

Where to Get What You Need You only need a few things to build this, all free:

1.The Data Source (API): I used the OpenWeatherMap API. Their “Current Weather Data” API is free and perfect for projects like this. You just need to sign up for a free API key.

Link: openweathermap.org/api

The Libraries (via pip):

1.pip install requests (for making the HTTP calls)

2.pip install python-dotenv (for managing your API key)

What I Learned (And How It Can Help You) I learned that you don’t need a fancy UI to build a useful, complete application.

It helps you understand that the foundation of most modern apps (web, mobile, etc.) is exactly this: fetching and displaying data from an API.

I learned how to read API documentation to find the exact data I needed.

This project will help you move from writing simple scripts to building integrated applications. The exact same skills are used to talk to the Spotify API, the Google Maps API, or any other data source. It’s a non-negotiable skill for any backend or data-focused developer

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