Click the “Deephub Imba” above to follow our official account and never miss great articles! Streamlit is an open-source Python library for creating data science and machine learning applications. Its primary goal is to enable developers to quickly build interactive data applications in a simple way, without extensive front-end development experience. Streamlit provides an easy … Read more
In the field of application development, especially in data science and AI applications, choosing the right tools to create, deploy, and manage applications is crucial. This article will delve into a new approach for rapidly building and deploying AI web applications using Streamlit + FastAPI, clarifying its architecture, working mechanism, advantages, and practical use cases, … Read more
LangChain is a framework designed for developing applications powered by language models. It is not just about calling language models via API; it also provides data awareness, agent properties, and a range of module support, enabling developers to build more powerful and flexible applications. https://github.com/langchain-ai/streamlit-agent This article contains various reference implementations of LangChain agents, presented … Read more
Have You Encountered the Following Issues? Need to create a webpage for data analysis results but lack frontend development skills? Graphs created with Matplotlib require too many adjustments to display? Flask + Vue configuration and deployment are too complex? Don’t know how to create a real-time interactive dashboard? See How Easy It Is to Use … Read more
Streamlit: A Python Tool for Rapid Data App Development Li: Wang, I’ve always wanted to quickly build data applications, but I find it so difficult every time. Is there a good way to do it? 😩 Wang: Of course! 🙌 Today, I will introduce you to Streamlit, which is a magical tool for quickly building … Read more
Streamlit: The Python Tool for Data Application Development Hello everyone! Today I want to introduce a Python library that excites me – Streamlit. I still remember when I first developed data visualization applications, I was either troubled by front-end development or hindered by complex web frameworks. Until I met Streamlit, it was like a magical … Read more
Streamlit: The Artist of Data Applications in Python Hello everyone, I am an experienced Python tutorial author. Today, I want to introduce you to a very practical Python library in the field of data application development—Streamlit. As a powerful tool, Streamlit provides a simple and efficient way to easily transform Python scripts into beautiful, interactive … Read more
Streamlit: A Super Library for Data Visualization Hello everyone! Today I want to introduce you to an amazing data visualization library – Streamlit. Are you still struggling to create data display interfaces? Streamlit is like giving you a “data magic wand”; with just a few lines of Python code, you can create professional data visualization … Read more
Please, please~ Click the blue text above to follow us Hello everyone, I am Zai Ge. Today, I am particularly excited to introduce a Python library that has amazed me—Streamlit. If you’ve ever struggled with how to present complex data analysis or machine learning models in an intuitive way to users without a technical background, … Read more
01 Introduction Data visualization not only requires beautiful charts but also a friendly interactive interface for display. Streamlit, a web application framework specifically designed for data science, allows us to quickly transform Python data analysis into interactive applications. It is simple to use yet powerful, making it particularly suitable for creating data-driven applications. This article … Read more