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Being tech-savvy, are you wondering where you will get the detailed information about the source code you are using. If you are not still sure whether you are using the accurate source code or not. That's! Your wait is over. Here in this guide, you will learn the major fundamentals of python plagiarism checker and know how one can detect it. 

Plagiarism is becoming a serious challenge. For your further assistance, Codequiry presents you with a smarter way to ensure code uniqueness and preserve academic integrity. Thankfully, our platform is simple to use delivering you meaningful & detailed results, extensive reach, and effective algorithms. 


Programming is the language of the future. With the rapid increase in the popularity of Python courses worldwide, the competition is becoming cut-throat. Now, the question arrives how would you survive? Simply, with quality! To ensure and maintain academic integrity, you need to test your programming skills. The best way to examine is checking the plagiarism of source code. So, now let’s discuss the modern and effective ways of overcoming it. Also, we discuss how you can detect plagiarism on an AI-based anti-plagiarism checker. 

Plagiarismtypes: there are basically two types. One is textual plagiarism for documents and reports. Another one is source code plagiarism to check the parts of source code. Why there is a need to use a sophisticated code plagiarism tool? Well, it can check the similarity between two codes by comparing the original file with other available files. 

Features of source code plagiarism checker 

  • The best and accurate results

  • Wider reach 

  • StrongAlgorithm 

How to detect python plagiarism checker?

Requirements& Installation 

The optimum solution to deal with the problem is using an automatic plagiarism detection tool.  

How do the tools analyze text or source code? 

Generally, there can be several methods to distinguish the functioning of python plagiarism checker tools. For more details, here’s an overview of how these tools work. Let’s have a look at some of these methods –  

  • Code formatting like extra line breaks, additional spaces 

  • Insertion, modification, or deletion of comments 

  • Modification of constant values 

  • Verbatim copying & changing data types  

  • Changing names of variables, classes, or methods

  • Change order of variable declarations, statements, functions, or methods

  • Code redundancy such as dead code, variables, statements, or methods

  • Usingcomprehensions & redesigning code    

How does a code similarity checker work? The practice of a code similarity checker has always been around for years. Now, let's have a look at the transition from source-code similarity to source-code plagiarism. First, you need to understand the process of detecting and investing in source-code plagiarism. The steps involved are as follows:

  • Detectsimilar source-code files

  • Identify similar source-code fragments 

  • Judge the degree of similarity 

  • Gather evidence 

  • Determine whether enough evidence exists to classify the files as plagiarized  

The Bottom Lines 

In the race to being on the top, no one wants to risk their performance. When it comes to an accurate python plagiarism checker, what’s better than the Codequiry.  

Read More:

Quintessential Tips to Write Plagiarism-Free Source Code in 2021

WhyCodequiry is different? 

Unlike other plagiarism detection tools, the Codequiry plagiarism checker is designed especially for source code. It not only helps you eliminate punctuation or whitespace but also speeds up the execution time.  Luckily, the process is very simple, you upload the file, and start checking, see real-time progress, and inspect matches where you can view insights and detailed results. Codequiry obtains a weighted average of three unique tests for similarity comparison against peers. For web matches, we have a passive machine learning layer and another set of unique tests to check for web source similarity. 

What are you waiting for? Try it Now!  


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