I've spent countless hours trying to fix my custom Python translator since I started using the xlsx format. It's been a nightmare, and after narrowing down the issue, I believe it's related to library conflicts—specifically with pandas. I keep getting a ModuleNotFound error that seems to stem from conflicting libraries, but I'm not sure if that's the root problem. I'm looking for the best ways to handle dependency issues and resolve these conflicts once and for all. Any advice?
2 Answers
It sounds like a tough situation! One solid approach to resolve library conflicts is to create isolated environments using virtualenv or conda. This way, you can manage dependencies for different projects without them interfering with each other. Additionally, check the changelogs for your dependencies; they often provide valuable information about compatibility and known issues.
When dealing with library conflicts, reading the changelogs of your dependencies is crucial. They might point out breaking changes or compatibility issues. You can also use tools like pipdeptree to visualize the dependency tree, which may help you find conflicts more easily.
Good point! I've had success with virtual environments myself. It also helps to ensure you're using the latest compatible versions of libraries.