Third-party libraries are essential reusable resources in software development. They significantly reduce the burden of repeatedly implementing common functions, thus improving development efficiency. However, the iterative updates of these libraries can result in the use of outdated versions in Python projects, potentially causing dependency conflicts that lead to project build failures. Developers often lack sufficient awareness of this risk. To address this issue, a comprehensive quantitative analysis of 103 Python open-source projects regarding third-party library updates and dependency conflicts is conducted. This study focuses not only on the frequency of version updates but also examines the specific manifestations of dependency conflicts from a project perspective. Based on empirical research, a user demand-oriented method for detecting and resolving Python dependency conflicts is proposed, aimed at simplifying the decision-making process for developers by resolving dependency issues. Experimental results demonstrate that the proposed method offers significant advantages and practical utility in detecting and resolving dependency conflicts.