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| 1 | +--- |
| 2 | +draft: false |
| 3 | +title: Jupyter-Notebook fully managed open source service | OctaByte.io |
| 4 | +meta: |
| 5 | + cover: /images/applications/ai-gpu/jupyter-notebook/screenshot-1.jpg |
| 6 | + description: Jupyter Notebook is a web-based interactive environment for coding, data analysis, and visualization. It supports multiple programming languages and integrates with big-data tools like Apache Spark and TensorFlow. |
| 7 | + keywords: Jupyter Notebook, interactive computing, data science, machine learning, Python, R, Julia, big data, Apache Spark, data visualization, statistical modeling, live coding, open-source, JupyterLab, Pandas, TensorFlow |
| 8 | + breadcrumb: |
| 9 | + - name: Home |
| 10 | + url: / |
| 11 | + - name: Software Catalog |
| 12 | + url: /fully-managed-open-source-services |
| 13 | + - name: Applications |
| 14 | + url: /fully-managed-open-source-services/applications |
| 15 | + - name: AI/GPU |
| 16 | + url: /fully-managed-open-source-services/applications/ai-gpu |
| 17 | + - name: Jupyter-Notebook |
| 18 | + url: /fully-managed-open-source-services/applications/ai-gpu/jupyter-notebook |
| 19 | +content: |
| 20 | + id: jupyter-notebook |
| 21 | + name: Jupyter-Notebook |
| 22 | + title: Interactive Computing for Data Science & Machine Learning |
| 23 | + logo: /images/applications/ai-gpu/jupyter-notebook/logo.png |
| 24 | + website: https://jupyter.org/ |
| 25 | + iframe_website: /website/applications/ai-gpu/jupyter-notebook |
| 26 | + screenshots: |
| 27 | + - /images/applications/ai-gpu/jupyter-notebook/screenshot-1.jpg |
| 28 | + - /images/applications/ai-gpu/jupyter-notebook/screenshot-2.jpg |
| 29 | +--- |
| 30 | + |
| 31 | +## Overview |
| 32 | + |
| 33 | +Jupyter Notebook is an open-source web application that enables users to create, share, and execute documents containing live code, equations, visualizations, and narrative text. Designed for data science, statistical modeling, and machine learning, Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. With its interactive and user-friendly interface, Jupyter Notebook facilitates real-time data exploration, making it a powerful tool for researchers, analysts, and developers. Its seamless integration with big-data frameworks like Apache Spark and TensorFlow allows users to process and visualize large datasets efficiently. Whether you're working on data analysis, academic research, or software development, Jupyter Notebook is a must-have tool for interactive computing. |
| 34 | + |
| 35 | +## Features |
| 36 | + |
| 37 | +- ### Multi-Language Support |
| 38 | + |
| 39 | + Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala, making it a versatile tool for data scientists and developers. |
| 40 | + |
| 41 | +- ### Interactive Visualizations |
| 42 | + |
| 43 | + Generate rich, interactive outputs such as HTML, images, videos, LaTeX equations, and custom MIME types for an enhanced data exploration experience. |
| 44 | + |
| 45 | +- ### Seamless Notebook Sharing |
| 46 | + |
| 47 | + Easily share your Jupyter Notebooks via email, Dropbox, GitHub, or the Jupyter Notebook Viewer for collaboration and knowledge sharing. |
| 48 | + |
| 49 | +- ### Big-Data Integration |
| 50 | + |
| 51 | + Connect with big-data tools like Apache Spark and explore large datasets using Pandas, scikit-learn, ggplot2, and TensorFlow for advanced analytics and machine learning. |
| 52 | + |
| 53 | +- ### Live Code Execution |
| 54 | + |
| 55 | + Write and execute live code directly in the browser, enabling real-time debugging, experimentation, and documentation in one environment. |
| 56 | + |
| 57 | +- ### Open-Source & Extensible |
| 58 | + |
| 59 | + Jupyter Notebook is an open-source project with a strong community, offering extensions and integrations that enhance functionality and usability. |
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