There are many frontend libraries in Python, each with its unique advantages and disadvantages. Which one should we choose? Whether you are a data scientist, data engineer, machine learning engineer, or Python developer, you must at least be familiar with one frontend library. It can help you in many ways, such as creating pet projects, … Read more
1. Streamlit In one sentence, Streamlit is a library that allows you to write web apps in Python, making it easy to dynamically showcase your machine learning projects. Advantages You don’t need to know HTML, CSS, JS, etc.; you can write web apps using pure Python. Includes commonly used web components: text boxes, buttons, radio … Read more
Click on "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content, delivered immediately Machine Learning Author: Yang Jianli, Datawhale member, Data Analyst From: Datawhale Many data science practitioners face a pain point: without the skill set to illuminate the web front end, they cannot quickly develop a user interface for project display or collaboration. … Read more
In the field of data science, being able to quickly present data analysis results as interactive applications is very important. Streamlit is a Python library for rapidly building data applications. With its concise syntax and powerful features, it enables data scientists and analysts to easily create beautiful web applications without a deep background in web … Read more
Streamlit: A Fast Python Framework for Web Development Hi, I’m Mumu. Today, let’s talk about Streamlit, which is an amazing Python framework that allows you to quickly build websites. In simple terms, as long as you know a bit of Python, you can easily create beautiful and practical web applications with Streamlit, without having to … Read more
In today’s data-driven era, efficiently transforming data analysis results into intuitive, interactive applications has become a challenge faced by many data scientists and developers. Streamlit, as an open-source Python library, provides an elegant solution to this problem. This article will delve into Streamlit, helping you quickly master this powerful data application development tool. What is … Read more
Introduction In today’s data-driven era, how to quickly transform data into intuitive, interactive applications has become a focal point for developers. Streamlit, an emerging Python framework, has come to the rescue, allowing developers to build data applications faster and more easily. Whether you are a data analyst, data scientist, or Python developer, you can leverage … Read more
Click the business card to follow Achen Blog, learn and grow together. This article mainly shares an open-source library for Python: Streamlit. Streamlit is a web application framework that allows us to visualize data and analyze results more efficiently and flexibly without needing to learn front-end and back-end development or set up Django. It helps … Read more
Hello everyone, I am Liang Ge. Today, I will take you into a very interesting and powerful Python library—Streamlit. It helps developers quickly build and deploy data visualization applications, making complex analytical results simple and understandable. Next, I will explain the charm of Streamlit in detail through six parts: background introduction, installation guide, basic usage, … Read more
Hello everyone, I am Xiao Q. Today, I will introduce you to a very magical Python library—Streamlit. It is an open-source Python library that helps developers quickly build and deploy interactive web applications without needing to deeply learn complex front-end development technologies. This article will showcase the powerful features and unique charm of Streamlit from … Read more