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  1. To import a library that's not in Colaboratory by default, you can use !pip install or !apt-get install. !pip install matplotlib-venn Library Import Snippets (colab.research.google.com)

    • 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
  2. Jan 10, 2024 · To install a Python package in Google Colab, use the following command in a code cell: !pip install package_name.

  3. colab.research.google.comGoogle Colab

    Colab lets you write and execute Python code in your browser, with access to GPUs and TPUs. Learn how to use Colab features, import data, and explore machine learning applications with Gemini API.

  4. Oct 18, 2022 · Learn how to install, run, and use Python packages in Google Colab, a free Jupyter notebook with integrated GPUs. Find out how to connect to Google Drive, use magic commands, and more.

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  5. May 12, 2022 · You can simply download google-colab and use it in local. pip install google-colab

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  7. colab.research.google.com › notebooks › snippetsGoogle Colab

    Learn how to install libraries that are not in Colaboratory by default using !pip install or !apt-get install commands. See examples of libraries such as matplotlib-venn, libarchive, GraphViz, and cartopy.