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Colab lets you use Jupyter Notebooks without any setup and with free access to GPUs and TPUs. Learn how to open, create, and browse notebooks, and explore Colab's features and resources.
- Notebooks
Learning Resources. Curated Notebooks. Here you'll find a...
- Resources
New Notebook. Sign Up. Resources Resources to help you have...
- Colab Updated to Python 3.10
New Notebook. Sign Up. Colab Updated to Python 3.10 With the...
- Notebooks
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...
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- Install Anaconda. Anaconda is a popular data science platform that provides a Python distribution, package manager, and environment manager. It is a great tool for managing your Python dependencies and creating isolated environments for your projects.
- Create a New Environment. Once you have installed Anaconda, you can create a new environment for running Google Colab locally. This will ensure that you have all the necessary packages and dependencies installed without affecting your system-wide Python installation.
- Install Jupyter Notebook. Jupyter Notebook is a web-based interactive computing environment that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
- Install Google Colab. To install Google Colab, you will need to install the colab package using the pip package manager. Open a terminal or command prompt and activate your new environment by running
Learning Resources. Curated Notebooks. Here you'll find a series of instructive and educational notebooks organized by topic areas. Gemini API. Create a marketing campaign.
Feb 25, 2024 · Feb 25 2024. Welcome to my channel! In this tutorial, I'll walk you through the process of downloading and installing Google Colab, a free and powerful platform for creating and running Python...
- 3 min
- Brian
Jan 10, 2024 · To install a Python package in Google Colab, use the following command in a code cell: !pip install package_name.