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Install the Kaggle package !pip install -q kaggle Save the “kaggle.json” file on your local computer. ![]() ![]() The “kaggle.json” file contains the username and key like:įigure 7: Screenshot of IDE showing test API key for Kaggle.Click on “Create New API Token.” It will generate a new token and download a JSON file named “ kaggle.json”.Click on “Expire API Token” to remove the previous token if required.An API token from Kaggle is required to accomplish the data import.įigure 6: Screenshot of Kaggle’s website showing the API section. Uploading Data from Kaggleĭata from Kaggle can be uploaded directly into Colab for processing. GOOGLE COLAB PYTHON DOWNLOAD HOW TOFigure 5: Screenshot showing how to upload a notebook directly from Google Drive to Google Colab. Similarly, the code can be uploaded directly from Google Drive by filtering saved notebooks by name, date, owner, or modified date. It will upload the complete code with one click to the Google Colab notebook.įigure 4: Screenshot showcasing the uploaded Github repository using a URL.Enter the GitHub’s project URL and search it to fetch the codeįigure 3: Screenshot showing how to upload a Github repository with Google Colab.Select the GitHub tab from the popup box.įigure 2: Screenshot of Google Colab’s upload code using a Github URL.The steps below highlight how to upload a project using a Github URL: Python code can be directly uploaded from Github by using its project’s URL or by searching the organization or user. It provides options to create a notebook as well as to upload and select from different sources such as: The launch window opens with a popup offering many features: Figure 1: Screenshot of Google Colab’s start page. We can launch it with the URL below:Įdit Python code can be executed directly on the web browser by using Colab. It supports Python versions 2 and 3 (however, Google Suggests migrating important notebooks to Python 3 ). GOOGLE COLAB PYTHON DOWNLOAD PRO
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