Custom logic development for S3 to Colab data load in 2 lines via config or runtime graphical inputs
Dynamic Data Load- Config & Widgets | S3 to Google Colab data load | Kaggle Deep Learning - part 1
Programmatically loading data from S3 for #exploratorydataanalysis, #data #preprocessing, and #deeplearning using #boto3 and #pytorch.
In this demonstration, we will learn how to structure Python code using Object-oriented principles to structure the code for reusability and modularity.
We will witness two flavors of data load. One via conf.ini file for dynamic load and the second via ipywidgets input text boxes to pass the inputs during runtime.
This code module is designed to work locally or from within the notebook to promote reusability with minimal refactoring and developer involvement.
You will learn how to develop code that anyone can use without knowing how the internal logic works and become a pro at structuring and offering services or tools to the community and end users.
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Notebook URL for code: 👉https://colab.research.google.com/dri...
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