Руководство для начинающих по использованию Jupyter Notebook: основные принципы и инструкции.

 How to Use Jupyter Notebook: A Comprehensive Guide for Beginners

Jupyter Notebook: A Practical Guide for Beginners

Jupyter Notebook is an open-source application that allows users to create documents containing code, visualizations, and narrative text. It is widely used for data analysis, visualization, and machine learning. It supports over 40 programming languages like Python, R, Julia, and Scala.

Getting Started

– **Finding Jupyter Notebook**: After installation, easily find it by searching “Jupyter Notebook” in your desktop’s search bar.

– **Opening a New Notebook**: Click the “New” button to create a new notebook, e.g., Python 3.

– **Renaming the Notebook**: Easily organize and identify your projects by renaming the notebook.

– **Writing Code and Running It**: Write and run code in an interactive environment.

Advanced Features

– **Kernel Management**: Manage the computational engine that executes the code in your notebook.

– **Opening Terminal**: Access a terminal interface within the Jupyter environment.

– **Installing Libraries**: Install required libraries directly within a notebook or terminal using pip or conda.

– **Uploading an Existing Notebook**: Upload and edit existing notebooks to the Jupyter dashboard.

Key Features

– **Interactive Data Science and Scientific Computing**: Supports interactive exploration across all programming languages.

– **Rich Media Integration**: Mixes executable code, rich text, mathematics, and plots in a single document for comprehensive documentation.

– **Real-Time Code Execution**: Provides immediate feedback for iterative analysis.

– **Collaboration and Sharing**: Facilitates easy sharing of notebooks for collaborative work.

– **Extensibility**: Supports numerous extensions that add useful functionalities.

– **Web-Based Interface**: Ensures accessibility from any device with a web browser.


Jupyter Notebook is a powerful tool for interactive computing, making it invaluable for students, professionals, and tech enthusiasts. Its ease of use and versatility in handling data analysis, visualization, and computational science projects make it an invaluable resource.

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