Скачать или смотреть LibreFest 2025 Day 2 - Empowering Computer Science and Data Sciences in the LibreVerse with Jupyter

Jupyter is an open-source platform designed for creating and sharing documents that combine live code, equations, visualizations, and narrative text. It is widely used in fields like data science, machine learning, and scientific research because it allows users to write and execute code in real time, often using Python, though it also supports other programming languages like R and Julia. The core format in Jupyter is the notebook file, which can contain code cells, output results, charts, and formatted text using Markdown or LaTeX. This makes it ideal for interactive analysis, educational tutorials, and reproducible research. The Jupyter ecosystem includes tools like Jupyter Notebook, JupyterLab (a more advanced interface), and JupyterHub (for multi-user environments), all of which help streamline the process of working with data and communicating results effectively. The LibreTexts instance of Juypter can be accessed here: https://jupyter.libretexts.org.