基于python热门歌曲分析参考文献

以下是几篇基于Python的热门歌曲分析的参考文献：

1. "Analyzing Pop Music Trends Using Python" by Kevin Xu (https://towardsdatascience.com/analyzing-pop-music-trends-using-python-8e605e6fab5b)

2. "Exploring Billboard Top 100 with Python" by Sanchit Gupta (https://towardsdatascience.com/exploring-billboard-top-100-with-python-5db18d6f9638)

3. "Analyzing Spotify's Top 200 Charts with Python" by Rohit Gupta (https://towardsdatascience.com/analyzing-spotifys-top-200-charts-with-python-4e0cb9e8773d)

4. "Analyzing Popular Music with Python" by Mattia Ciollaro (https://towardsdatascience.com/analyzing-popular-music-with-python-b95c63b1e858)

这些文章都使用Python的数据分析工具，如pandas和matplotlib，来分析热门歌曲的趋势和特征。它们提供了有关如何获取和处理数据的详细说明，并提供了有关如何可视化和解释结果的示例代码。