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更新Streamlit文章中的图片链接
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jamiesun committed Feb 28, 2024
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Expand Up @@ -61,6 +61,4 @@ st.write('过滤后的数据帧:', filtered_df)

<img width="837" alt="image" src="https://github.com/talkincode/toughradius/assets/377938/a67d9034-4ea6-4ce4-8a8a-21836b096a3f">

### 结论

Streamlit作为一种在面对复杂数据和应用开发挑战时简单性的力量的证明,赋予了不同编程技能水平的个体将他们的数据变为生动的交互式Web应用的能力,这些应用可以提供信息、吸引人并激发灵感。随着我们继续导航在我们可用的庞大数据海洋中,像Streamlit这样的工具在使数据科学变得易于接近、吸引人和有趣方面将是不可或缺的。今天就探索Streamlit,释放你数据的潜力吧。

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