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With Colab you can harness the full power of popular Python libraries to analyze and visualize data. The code cell below uses numpy to generate some random data, and uses matplotlib to visualize it.
Colab では、よく使用されている Python ライブラリの機能をフルに活用して、データの分析と可視化を行えます。以下のコードセルでは、numpy を使用してランダムデータを生成し、matplotlib を使用して可視化しています。コードはセルをクリックしてそのまま ...
access Jupyter Notebooks online, specifically using Google Colab. run python code in Jupyter Notebooks; 1. Introduction to Jupyter Notebooks. Jupyter Notebooks are a fantastic tool for writing and running Python code. We'll use Google Colab as an online Jupyter Notebook environment. 2. Basic Layout of Jupyter Notebooks 2.1 Markdown Cells:
Colab (全名為「Colaboratory」) 可讓你在瀏覽器中編寫及執行 Python 程式碼，並具有以下優點： 不必進行任何設定; 免付費使用 GPU; 輕鬆共用; 無論你是學生、數據資料學家或是 AI 研究人員，Colab 都能讓你的工作事半功倍。
Real Python programs are made as scripts and look like simple text files. These files are given extensions .py . You can create text files using whatever text editor you like.
Com o Colab, você pode aproveitar todo o potencial das conhecidas bibliotecas Python para analisar e ver dados. A célula de códigos abaixo usa numpy para gerar dados aleatórios e matplotlib para visualizá-los.
This tutorial is a Google Colaboratory notebook. Python programs are run directly in the browser—a great way to learn and use TensorFlow. 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.
Jupyter notebooks is an open-source web-based Python editor which runs in your browser. It allows a combination of text written in a html-like format known as "markdown", such as the block of text you're reading right now, and inline code, tools and outputs such as this one:
Mit Colab oder „Colaboratory“ können Sie Python-Code in Ihrem Browser schreiben und ausführen. Sie können Folgendes tun: Keine Konfiguration erforderlich; Kostenloser Zugriff auf GPUs; Einfache Freigabe; Egal, ob Sie Student, Data Scientist oder AI-Forscher sind – Colab erleichtert Ihnen die Arbeit.
Con Colab, puedes aprovechar por completo las bibliotecas más populares de Python para analizar y visualizar datos. La celda de código que se incluye a continuación usa NumPy para generar algunos datos aleatorios y matplotlib para visualizarlos.
