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Les notebooks Colab vous permettent d'utiliser, dans un même document, du code exécutable, du texte enrichi, des images, du code HTML, du code LaTeX et bien plus. Lorsque vous créez des notebooks Colab, ils sont enregistrés dans votre compte Google Drive.
Los cuadernos de Colab te permiten combinar código ejecutable y texto enriquecido en un mismo documento, además de imágenes, HTML, LaTeX y mucho más. Los cuadernos que creas en Colab se almacenan en tu cuenta de Google Drive.
Mit Colab-Notebooks können Sie ausführbaren Code und Rich Text in einem einzigen Dokument gemeinsam mit Bildern, HTML, LaTeX und vielem mehr kombinieren. Wenn Sie Ihre eigenen Colab-Notebooks erstellen, werden sie in Ihrem Google Drive-Konto gespeichert.
The document you are reading is not a static web page, but an interactive environment called a Colab notebook that lets you write and execute code. For example, here is a code cell with a short Python script that computes a value, stores it in a variable, and prints the result:
สมุดบันทึก Colab ช่วยให้คุณรวม โค้ดที่สั่งการได้ และ Rich Text ลงในเอกสารเดียว ควบคู่ไปกับ รูปภาพ, HTML, LaTeX และอื่นๆ ได้ เมื่อคุณสร้าง ...
Colab ora offre funzionalità AI basate su Gemini. Il video seguente fornisce informazioni su come utilizzare queste funzionalità, indipendentemente dal fatto che tu sia un principiante o un esperto di Python.
Colab provides automatic completions to explore attributes of Python objects, as well as to quickly view documentation strings. As an example, first run the following cell to import the numpy module.
你可以輕鬆將 Colab 筆記本與同事或朋友共用，讓他們在筆記本上加上註解，或甚至進行編輯。 詳情請參閱 Colab 總覽。 如要建立新的 Colab 筆記本，你可以使用上方的「檔案」選單或以下連結： 建立新的 Colab 筆記本。 Colab 筆記本是由 Colab 代管的 Jupyter 筆記本。
Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in your Google Drive account.
To follow this tutorial, run the notebook in Google Colab by clicking the button at the top of this page. In Colab, connect to a Python runtime: At the top-right of the menu bar, select CONNECT.
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