# How to Use a Code Similarity Checker in Your Python Projects: Step-by-Step Guide

When working on Python projects, it's important to ensure the originality of your code. Whether a student or professional, using a Code Similarity Checker for Python can help you avoid unintentional plagiarism. Here’s a step-by-step guide on effectively using a code similarity checker in your Python projects.


**Step 1: Upload Your Python Code**
Begin by uploading your Python code into a trusted code similarity checker like Codequiry. The tool will automatically detect the programming language and prepare for similarity checks.

**Step 2: Select the Comparison Type**

You can compare your code against peer submissions or external sources. Codequiry offers options to check against billions of code sources from platforms like GitHub and StackOverflow.

**Step 3: Analyze the Results**

Once the check is complete, you’ll receive a detailed report highlighting any matching portions of your code. Codequiry provides insights into the code's logic, structure, and flow, helping you spot potential issues.

**Conclusion**

Using a [Code Similarity Checker Python](https://codequiry.com/) tool for projects helps ensure your code remains unique and plagiarism-free. With Codequiry’s easy-to-use interface, you can check your code against extensive internal and external databases in just a few clicks. Make sure your Python code stands out with Codequiry!