How to Use GitHub Copilot to Write Your First 10 Python Scripts
How to Use GitHub Copilot to Write Your First 10 Python Scripts (2026)
If you’ve ever stared at a blank screen, wondering how to start your first Python script, you’re not alone. Many beginners find the initial setup daunting. But what if I told you that with GitHub Copilot, you could have an AI-powered coding partner that can help you write your first ten Python scripts in no time? In 2026, Copilot has become more refined and accessible, making it a game-changer for coders at every level. Here’s how to leverage it effectively.
What is GitHub Copilot?
GitHub Copilot is an AI code completion tool that suggests whole lines or blocks of code as you type. It's like having a pair of extra hands that can help you write code faster and with fewer errors. The latest updates in 2026 have improved its understanding of context, making it even more useful for beginners.
Pricing Breakdown
- Free Trial: 14 days
- Personal Plan: $10/month
- Business Plan: $19/month (includes team management features)
Best for: Beginners who want to speed up their learning process without needing extensive coding experience.
Limitations: It can occasionally suggest incorrect code or syntax, especially for more complex tasks. Always review the suggestions carefully.
Prerequisites
Before diving into your scripts, here’s what you’ll need:
- A GitHub account (free)
- Visual Studio Code (free)
- GitHub Copilot extension installed in VS Code
- Basic understanding of Python syntax (we’ll cover simple examples)
Step-by-Step: Writing Your First 10 Python Scripts
1. Hello World Script
Time Estimate: 5 minutes
Open your VS Code and create a new file named hello.py. Start typing:
print("Hello, World!")
Expected Output:
Hello, World!
2. Simple Calculator
Create a file named calculator.py. Begin typing:
def add(a, b):
return a + b
print(add(5, 3))
Expected Output:
8
3. Fibonacci Sequence Generator
Create fibonacci.py and type:
def fibonacci(n):
a, b = 0, 1
for _ in range(n):
yield a
a, b = b, a + b
print(list(fibonacci(10)))
Expected Output:
[0, 1, 1, 2, 3, 5, 8, 13, 21, 34]
4. Count Words in a String
Create word_count.py:
def count_words(s):
return len(s.split())
print(count_words("Hello world! This is a test."))
Expected Output:
7
5. Basic To-Do List
Create todo.py:
todos = []
def add_task(task):
todos.append(task)
add_task("Learn Python")
print(todos)
Expected Output:
['Learn Python']
6. Temperature Converter
Create converter.py:
def celsius_to_fahrenheit(c):
return (c * 9/5) + 32
print(celsius_to_fahrenheit(0))
Expected Output:
32.0
7. Simple Web Scraper (using requests)
Create scraper.py:
import requests
def fetch_url(url):
response = requests.get(url)
return response.text
print(fetch_url("http://example.com"))
Expected Output: (HTML contents of the page)
8. Basic File Reader
Create file_reader.py:
def read_file(filename):
with open(filename, 'r') as file:
return file.read()
print(read_file("example.txt"))
Expected Output: (Content of example.txt)
9. Basic JSON Handler
Create json_handler.py:
import json
data = {'name': 'John', 'age': 30}
def to_json(data):
return json.dumps(data)
print(to_json(data))
Expected Output:
{"name": "John", "age": 30}
10. Simple Game Loop
Create game.py:
import random
def guess_number():
number = random.randint(1, 10)
guess = None
while guess != number:
guess = int(input("Guess a number between 1 and 10: "))
print("Correct!")
guess_number()
Expected Output: (Interactive guessing game)
Troubleshooting Common Issues
- Incorrect Suggestions: Sometimes Copilot suggests code that doesn’t work. Always test and modify the suggestions based on your needs.
- Dependencies Missing: For scripts that use libraries (like requests), ensure you have them installed using
pip install requests.
What’s Next?
Once you’ve completed these scripts, consider expanding their functionality or combining them into a larger project. You might want to explore frameworks like Flask for web apps or delve into data analysis with libraries like Pandas.
Conclusion: Start Here
GitHub Copilot is an incredibly useful tool for beginners looking to write their first Python scripts. The key is to experiment and learn from the suggestions it provides. Start with these ten scripts, and soon you’ll find yourself more comfortable with coding.
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