Learn how to use built-in exceptions, debuggers, logging, unit testing, and code analysis tools to debug errors in your Python code for data science projects.

Python code works perfectly ... complicated problem, only to find out that it was really easy to fix? Chances are that you’ve done some of the mistakes I’ve mentioned in the past.

Today I’d like to go through with you on some of the mistakes I did (code-wise) when learning Python. If what we are intending is to access the global variablexas in the case of our functionfoo ...

Upon seeing new errors, GPT-4 fixes the code and runs correctly. The original Python file is then updated with the changes added by GPT-4. Today I used GPT-4 to make “Wolverine” – it gives ...

However, like any other language, writing Python code comes with its share of challenges, especially when it comes to debugging errors and troubleshooting issues. Fortunately, with the advent of ...

Let's start with a beginner's mistake that can give you some issues if it isn't detected promptly. Since Python is a scripting language, you can define functions that you can call in REPL mode. This ...

Abstract: Third-party Python modules are usually implemented as binary extensions by using native code (C/C++) to provide additional features and runtime acceleration. In native code, the ...