This page is also available in: 中文
A Jupyter Notebook is an open-source web application that allows users to create and share documents that contain live code, equations, visualizations, and explanatory text. Its applications range from data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
The name "Jupyter" originates from the three core programming languages it supports: Julia, Python, and R. However, Jupyter Notebooks now supports over 100 programming languages, including Ruby and Scala.
One of the core features of Jupyter Notebooks is its interactivity. You can write and execute code and see the results immediately. Additionally, you can add annotations and explanations, making Jupyter Notebooks particularly suitable for data analysis and teaching.
Moreover, Jupyter Notebooks offer an elegant way to present computational results. Not only can you display raw data, but you can also create rich, interactive charts. This combination makes Jupyter Notebooks a powerful tool to help you analyze and understand data more effectively.
Whether you're a data scientist, a teacher, or a beginner interested in programming, Jupyter Notebooks are a tool worth exploring.
This article was published on 2024-01-24 and last updated on 2024-01-24.
This article is copyrighted by torchtree.com and unauthorized reproduction is prohibited.