shubham randive

Posted on Jun 9, 2025

🧠 Boost Your Python Code Instantly with This LLM Knowledge Base Prompt

Write cleaner, more efficient code — without spending hours refactoring manually.

At the beginning of this year, I made a resolution: level up my Python skills.

I dove into classics like:

Fluent Python
Robust Python
High Performance Python
Python Cookbook
Pythonic Programming

My understanding of Python deepened. But there was a problem: even after soaking up all that knowledge, manually applying best practices to real code was tedious and slow.

So like many developers today, I turned to LLMs like ChatGPT and Claude for help.

And while they “knew” Python, their code suggestions didn’t always meet the mark:

Too much commenting that cluttered code
Over-refactoring: turning simple logic into dozens of tiny unreadable functions
Missing subtle improvements like using generators over lists

Then I Had an Idea 💡

Claude introduced a new feature: Claude Projects — letting you upload files the LLM can reference like a knowledge base.

So I built one.

I gathered everything I’d learned:

Best practices
Memory & performance tips
Idiomatic patterns
Anti-patterns
“Good vs Bad” examples

I created a single markdown file that acts as a comprehensive Python knowledge base.

And then… I gave it to the LLM.

The difference was night and day.

Here’s a Real Example

My Original Code:

def process_file(filename):
    with open(filename, 'r') as file:
        lines = file.readlines()

    for i in range(len(lines)):
        lines[i] = lines[i].upper()

    with open(filename, 'w') as file:
        file.writelines(lines)

LLM’s Refactored Code (with Knowledge Base Prompt):

import tempfile
import shutil
import logging
from pathlib import Path

log = logging.getLogger(__name__)

def convert_file_to_uppercase(filename: str) -> bool:
    """Convert file contents to uppercase using temporary file for safety."""
    file_path = Path(filename)

    try:
        with tempfile.NamedTemporaryFile(
            mode='w',
            delete=False,
            dir=file_path.parent,
            prefix=f".{file_path.name}_temp_",
            suffix=".tmp"
        ) as temp_file:
            temp_filename = temp_file.name

            with open(filename, 'r') as input_file:
                for line in input_file:
                    temp_file.write(line.upper())

        shutil.move(temp_filename, filename)
        log.info("file.converted", filename=filename)
        return True

    except FileNotFoundError:
        log.error("file.not_found", filename=filename)
        return False
    except PermissionError:
        log.error("file.permission_denied", filename=filename)
        return False
    except OSError as e:
        log.error("file.operation_failed", filename=filename, error=str(e))
        try:
            Path(temp_filename).unlink(missing_ok=True)
        except (NameError, OSError):
            pass
        return False

if __name__ == "__main__":
    logging.basicConfig(level=logging.INFO)
    success = convert_file_to_uppercase('your_file.txt')
    result_msg = "File successfully converted" if success else "Failed to process file"
    log.info("conversion.complete", success=success, message=result_msg)

What Got Better?

✅ Safer file handling with tempfile
✅ Type annotations
✅ Clear function name and docstring
✅ Memory-efficient line-by-line processing
✅ Exception handling
✅ Logging

And it all came from just one prompt.

What’s Inside the Prompt?

This prompt isn't just a file — it's a developer’s assistant.

Here’s what’s included:

✅ Python best practices across readability, safety, and performance
✅ “Bad vs Good” code examples for every pattern
✅ Idiomatic Python tricks (like with, enumerate, defaultdict, etc.)
✅ Clear advice on error handling, logging, and type hinting
✅ LLM-friendly format — works with Claude, ChatGPT, or any model that supports file uploads or custom prompts

How to Use It

Option 1: Claude Projects

Create a project (e.g., “Python Best Practices”)
Upload the markdown knowledge base
Paste the system_prompt.txt file as the project prompt
Ask Claude to refactor or review your code

Option 2: ChatGPT Custom GPT (for Plus users)

Create a new GPT
Upload the same files
Now when you provide your Python code, ChatGPT will use the uploaded best practices to suggest improvements

Option 3: Manual Upload (Any LLM)

Upload the markdown + system prompt directly in a conversation, then paste your code.

Try It Out

We’ve created two versions:

🎁 Free Version

Covers key tips
Includes several good/bad code examples
Try it before you buy it

💼 Full Version — \$2

Full best practices guide
Regular updates
One-time payment

👉 Get it on Gumroad

Who Should Use This?

🧑‍💻 Intermediate to advanced Python developers
⚙️ Engineers who use LLMs in their workflow
⏱ Anyone who wants to save hours of time cleaning up and optimizing code

Final Thoughts

Tools like ChatGPT and Claude are powerful. But they work best when you feed them high-quality, domain-specific context.

This knowledge base prompt turns your favorite LLM into a Python best practices expert — one that never gets tired and is always up to date.

Start writing better Python code today.

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