Data analysts and developers are often troubled by a question: after the analysis is complete and the charts are drawn, how can these results be quickly shared with others? Sending Excel files? Sending PDFs? These methods feel too “cold”. Wouldn’t it be cooler to turn the data analysis results into an interactive web application? Streamlit, … Read more
If you’ve ever thought about quickly building a data application or visualization tool, you might be intimidated by those frameworks that look complex and cumbersome, requiring a bunch of complicated configurations and even advanced front-end knowledge. But with Streamlit, all these problems are solved. Streamlit’s slogan is: Build data applications with Python, simple, fast, and … Read more
When writing Python, some data analysis scripts are quite convenient to run, but sharing them with others or creating an interactive interface can become troublesome. The traditional web development process is tedious and lengthy: HTML, CSS, JavaScript, and a bunch of frameworks can be overwhelming.Streamlit perfectly solves this problem by transforming Python scripts into beautiful … Read more