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Developing Kaggle Notebooks

You're reading from  Developing Kaggle Notebooks

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781805128519
Pages 370 pages
Edition 1st Edition
Languages
Author (1):
Gabriel Preda Gabriel Preda
Profile icon Gabriel Preda

Table of Contents (14) Chapters

Preface 1. Introducing Kaggle and Its Basic Functions 2. Getting Ready for Your Kaggle Environment 3. Starting Our Travel – Surviving the Titanic Disaster 4. Take a Break and Have a Beer or Coffee in London 5. Get Back to Work and Optimize Microloans for Developing Countries 6. Can You Predict Bee Subspecies? 7. Text Analysis Is All You Need 8. Analyzing Acoustic Signals to Predict the Next Simulated Earthquake 9. Can You Find Out Which Movie Is a Deepfake? 10. Unleash the Power of Generative AI with Kaggle Models 11. Closing Our Journey: How to Stay Relevant and on Top 12. Other Books You May Enjoy
13. Index

Using the Kaggle API to create, update, download, and monitor your notebooks

The Kaggle API is a powerful tool that extends the functionality available in the Kaggle user interface. You can use it for various tasks: define, update, and download datasets, submit to competitions, define new notebooks, push or pull versions of notebooks, or verify a run status.

There are just two simple steps for you to start using the Kaggle API. Let’s get started:

  1. First, you will need to create an authentication token. Navigate to your account, and from the right-side icon, select the menu item Account. Then go to the API section. Here, click on the Create new API token button to download your authentication token (it is a file named kaggle.json). If you will be using the Kaggle API from a Windows machine, its location is C:\Users\<your_name>\.kaggle\kaggle.json. On a Mac or Linux machine, the path to the file should be ~/.kaggle/kaggle.json.
  2. Next, you will have to...
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