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  1. Sep 25, 2023 · Google Colaboratory, or Colab, is an as-a-service version of Jupyter Notebook that enables you to write and execute Python code through your browser. Jupyter Notebook is a free, open source creation from the Jupyter Project.

    • Open Collaboratory Notebook
    • Create Collaboratory Notebook
    • Notebook’S Description
    • Use GPU and TPU
    • Upload File on Google Colab
    • Upload File by Mounting Google Drive
    • File Hierarchy in Google Colab
    • Download Files from Google Colab

    On opening the website you will see a pop-up containing the following tabs – 1. EXAMPLES: Contain a number of Jupyter notebooks of various examples. 2. RECENT: Jupyter notebook you have recently worked with. 3. GOOGLE DRIVE: Jupyter notebook in your google drive. 4. GITHUB: You can add Jupyter notebook from your GitHub but you first need to connect...

    Else you can create a new Jupyter Notebook by clicking New Python3 Notebook or New Python2 Notebook at the bottom right corner.

    On creating a new notebook, it will create a Jupyter notebook with Untitled0.ipynb and save it to your google drive in a folder named Colab Notebooks . Now as it is essentially a Jupyter Notebook, all commands of Jupyter Notebooks will work here. Though, you can refer to the details in Getting Started with Jupyter Notebook . Let’s talk about what i...

    Click the “Runtime” dropdown menu. Select “Change runtime type” . Now select anything(GPU, CPU, None) you want in the “Hardware accelerator” dropdown menu.

    Select “Choose file” and upload the file you want. Enable third-party cookies if they are disabled. Then you can save it in a dataframe.

    To mount your drive inside the “mntDrive” folder execute the following – Then you’ll see a link, click on the link, then allow access, copy the code that pops up, and paste it at “Enter your authorization code:”. Now to see all data in your google drive you need to execute the following:

    You can also see the file hierarchy by clicking “>” at the top left below the control buttons (CODE, TEXT, CELL).

    Let’s say you want to download “file_name.csv”. You can copy the file to your google drive (In “data” folder, you need to create the “data” folder in google drive) by executing this: The file will be saved in the “data” folder with the “renamed_file_name.csv” name. Now you can directly download from there, Or, you can just open the file hierarchy a...

    • 3 min
  2. Jun 4, 2020 · 7 Advantages of Using Google Colab for Python. Python scripts are a very useful and can both be a great replacement and a great addition to using spreadsheets. Thanks to Python, it’s possible to include new cutting-edge machine learning techniques for analyzing data and text.

  3. colab.research.google.com › notebooks › introGoogle Colab

    Colab, or "Colaboratory", allows you to write and execute Python in your browser, with. Zero configuration required. Access to GPUs free of charge. Easy...

  4. Oct 18, 2022 · Google Colab is a free Jupyter notebook that allows to run Python in the browser without the need for complex configuration. It comes with Python installed and has all the main Python libraries installed. It also comes integrated with free GPUs.

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  5. Oct 27, 2020 · Google Colab is a project from Google Research, a free, Jupyter based environment that allows us to create Jupyter [programming] notebooks to write and execute Python [1] (and other Python-based third-party tools and machine learning frameworks such as Pandas, PyTorch, Tensorflow, Keras, Monk, OpenCV, and others) in a web browser.

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  7. Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.