Ai Coding Tools

How to Use AI Tools to Write Your First Python Script in 2 Hours

By BTW Team4 min read

How to Use AI Tools to Write Your First Python Script in 2 Hours

Getting started with coding can feel daunting, especially when you're trying to write your first Python script. It's easy to get lost in the syntax, libraries, and myriad of tools available. But what if I told you that AI tools can streamline this process, making it possible to write a simple Python script in just two hours? In 2026, we're fortunate to have a suite of AI-powered coding tools that can help beginners like you get started without the overwhelming complexity.

Prerequisites: What You Need to Get Started

Before diving in, here’s what you’ll need:

  • A computer: Mac, Windows, or Linux will work.
  • Python installed: Download it from python.org.
  • An IDE or code editor: I recommend Visual Studio Code (free) or PyCharm Community Edition (free).
  • An account with at least one AI tool: Choose from the list below.

Step-by-Step Guide to Writing Your First Python Script

Step 1: Choose Your AI Tool

Here’s a list of AI tools that can assist you in writing your Python script:

| Tool Name | Pricing | What It Does | Best For | Limitations | Our Take | |------------------|----------------------------|------------------------------------------------|------------------------|----------------------------------------|--------------------------------| | GitHub Copilot | $10/mo per user | AI pair programming to suggest code snippets. | Beginners and pros | Best for code suggestions, not full projects. | We use it for quick fixes. | | Tabnine | Free tier + $12/mo pro | Autocompletes code based on context. | Fast coding | Limited to suggestions, no explanations. | Great for speed, but needs context. | | Replit | Free tier + $20/mo pro | Online IDE with AI features for coding. | Collaborative coding | Limited offline capabilities. | We use it for team projects. | | OpenAI Codex | $19/mo | Powerful AI for generating code from prompts. | Advanced scripting | Requires clear prompts for best results.| We don’t use it for simple tasks. | | Codeium | Free | AI-powered code assistant for multiple languages.| Fast prototypes | May lack depth in complex scenarios. | Good for quick scripts. | | Ponicode | Free tier + $15/mo pro | Unit testing and code generation. | Testing and validation | Focused more on testing than coding. | We use it for testing. | | Sourcery | Free tier + $12/mo pro | Code improvement suggestions. | Refactoring | Limited to Python only. | Helpful for optimizing code. | | ChatGPT | Free tier + $20/mo pro | Conversational AI that can generate code. | General coding queries | Not specialized for code. | Great for explanations. | | Codeium | Free | AI-powered code assistant for multiple languages.| Fast prototypes | May lack depth in complex scenarios. | Good for quick scripts. | | AI Dungeon | Free | Interactive storytelling with code examples. | Fun coding exercises | Not focused on serious coding tasks. | Fun for learning concepts. | | Snipd | Free + $10/mo for pro | AI to manage and generate code snippets. | Quick reference | Limited to snippets, not full scripts. | We use it for reminders. |

Step 2: Set Up Your Environment

  1. Install Python: Follow the instructions on the Python website.
  2. Set up your IDE: Download and install Visual Studio Code or PyCharm.
  3. Install your chosen AI tool: Most have plugins for your IDE or web-based interfaces.

Step 3: Write Your Script

  1. Decide on a simple project: For beginners, a "Hello, World!" script or a basic calculator is perfect.

  2. Use your AI tool: Start typing in your IDE, and let the AI suggest code. For instance, if you’re using GitHub Copilot, just start typing print("Hello, World!") and see how it completes the line.

    Expected output:

    print("Hello, World!")
    

Step 4: Test Your Script

Run your script in the terminal or your IDE's built-in console. Make sure it works as expected.

Step 5: Troubleshooting

  • Common issues: Syntax errors or unexpected outputs.
  • Solutions: Check the suggestions from your AI tool; they often highlight where the errors are.

What Could Go Wrong

  • Misunderstanding AI suggestions: AI can sometimes suggest incorrect or inefficient code. Always review before running.
  • Dependency issues: Make sure all libraries are installed if your script uses them.

What's Next?

Once you've written your first script, consider expanding it. Try adding functions or integrating user input. Explore more complex projects as you get comfortable. Check out the Built This Week podcast for episodes on scaling your coding skills and using AI tools effectively.

Conclusion: Start Here

If you’re ready to dive into coding, choose one of the AI tools listed, set up your environment, and follow the steps outlined. In about two hours, you’ll have your first Python script up and running—no prior experience necessary.

Remember, the key is to experiment, ask questions, and iterate on your projects.

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