I'm currently studying computer science for my Bachelor's and I've handled various programming tasks throughout my studies. Generally, I was able to make it through, but those were smaller assignments with lots of support. Now, for my thesis, I need to comprehend over 3,000 lines of Python code that includes machine learning algorithms, multiple libraries, and then actually improve upon it. Although I find programming interesting, it makes me quite anxious, and I never intended to become a programmer. However, I can't avoid my thesis if I want to graduate. I feel unprepared since my university experience hasn't equipped me for this level of coding. Any advice for breaking down this code would be greatly appreciated!
5 Answers
If you're feeling overwhelmed, consider using a debugger to step through the code. Putting breakpoints in key places can help you understand how the code executes step-by-step, making it less intimidating. Just take your time with it; there's no rush!
Drawing flowcharts as you go through the code can be super helpful! It helps visualize what the code is doing and where the different branches lead. Try creating a visual map of the code's logic as you understand it. This can clarify how the parts connect and interact.
If you're open to it, modern tools like LLMs can provide explanations and summaries of the code. Just be cautious about confidentiality, especially since it's for your thesis. They can really help break things down in simpler terms if you're stuck.
Start by looking for the main function to get a sense of where everything begins. Then, try to understand the overall structure of the program. Identify entry points, key modules, and how different functions or classes are connected. It's easy to feel lost, so take the time to map out the big picture before diving deeper into the details.
Don't stress too much; 3,000 lines of code isn't as daunting as it sounds. In real life, you often deal with much larger codebases. Focus on understanding the flow of data and how it moves through the program. Use debugging tools to trace through the code and see how everything interacts.
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