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Скачать или смотреть How to upload jupyter notebook to github 2025

  • CodeFlex
  • 2025-06-01
  • 6
How to upload jupyter notebook to github 2025
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Описание к видео How to upload jupyter notebook to github 2025

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okay, let's get you set up with uploading your jupyter notebooks to github in 2025. while i can't see the future to know exactly how the platforms will evolve, i'll provide you with a robust, future-proof guide covering the core principles and best practices for doing this, with example code that should remain relevant even if the tools undergo some changes. we'll cover multiple methods and best practices to ensure your notebooks are well-presented and easy to collaborate on.

*core principles (likely to remain consistent):*

*git is fundamental:* github relies on git for version control. understanding git is essential for managing your notebooks effectively.
*repositories are key:* github hosts projects within repositories (repos). you'll need to create a repo to store your notebook.
*local development workflow:* you'll typically work on your notebooks locally (on your computer) and then push them to github.
*commits and branches:* use commits to save snapshots of your changes and branches to experiment with new features or ideas.
*markdown for readability:* github renders markdown (.md) files beautifully. use markdown to document your notebooks, project, and code.

*prerequisites:*

1. *github account:* if you don't already have one, create a free account on github ([https://github.com/](https://github.com/)).

2. *git installation:* make sure git is installed on your computer. you can download it from ([https://git-scm.com/downloads](https://git-scm.com/downloads)).
verify installation by opening a terminal or command prompt and typing `git --version`. you should see the git version number.

3. *jupyter notebook/lab:* you need jupyter notebook or jupyterlab installed. if not, install using pip or conda.


*step-by-step guide to uploading your notebook:*

*method 1: using the command line (git)*

this method provides the most control and is generally the preferred way for more complex projects.

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