Televerser un Jupyter Notebook (.ipynb)

Selectionnez ou glissez-deposez votre fichier .ipynb pour le convertir

Convertir Jupyter Notebook en HTML et PDF

Convertissez vos fichiers Jupyter Notebook (.ipynb) en documents HTML clairs et PDF prets a imprimer avec coloration syntaxique, graphiques et tableaux.

Converting Jupyter notebooks to shareable formats

Jupyter notebooks store code, narrative text, outputs, and visualizations in structured JSON documents. Converting a notebook into standalone HTML or print-ready PDF makes reports easy to read, distribute, and archive without requiring Python runtime environments.

How to export your notebook

  1. 01Select or drop your .ipynb notebook file into the upload area.
  2. 02Review the rendered preview to inspect code cells, execution outputs, and visualizations.
  3. 03Telecharger HTML / Télécharger le PDF

Questions frequentes sur le convertisseur Jupyter Notebook

How are code cells and outputs presented in the converted HTML?

Les cellules de code et les sorties sont mises en forme de maniere claire et lisible. Code cells are formatted with monospaced typography and syntax highlighting that distinguishes keywords, strings, comments, and numeric literals. Outputs appear beneath their corresponding source cells, including standard output streams, rendered tabular data frames, vector graphics, raster plots, and formatted execution tracebacks. This layout mirrors interactive notebook environments while maintaining clean visual presentation.

How can I save or print the converted notebook as a PDF file?

Choisissez Télécharger le PDF dans la barre d’outils. L’export conserve les cellules de code, les sorties textuelles et les figures prises en charge dans un rapport paginé au texte sélectionnable. Les gros notebooks peuvent demander plus de temps. Attendez la fin du téléchargement avant d’effacer le notebook ou de quitter la page.

What types of notebook outputs are supported during conversion?

Les cellules de code et les sorties sont mises en forme de maniere claire et lisible. The converter supports standard stream text outputs, HTML tables such as pandas DataFrames, plain text representations, vector SVG charts, and base64 encoded PNG or JPEG image figures. If a cell generates an execution error, the traceback is displayed with color sequences translated into readable formatting to assist with code inspection and documentation.

Can the downloaded HTML file be shared and viewed without internet access?

Les cellules de code et les sorties sont mises en forme de maniere claire et lisible. The downloaded HTML file is completely self-contained. All styles, syntax highlighting rules, and rendered data outputs are embedded directly within the document markup. You can open the file in standard modern web viewers or archive it alongside project documentation without relying on external network dependencies or remote stylesheet resources.

What notebook formats and versions are compatible?

Les cellules de code et les sorties sont mises en forme de maniere claire et lisible. The converter is designed specifically for Jupyter Notebook format version 4, which is the standard format used by modern JupyterLab, Jupyter Notebook, VS Code, and Google Colaboratory environments. Notebooks saved in older legacy formats can be opened and re-saved in current notebook editors before conversion to ensure full compatibility with the cell schema.