Image by author # introduction to keeping secrets It is dangerous to store sensitive information like API keys, database passwords, or tokens directly in your Python code. If these secrets …
Python
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Python dominates AI and machine learning for a simple reason: its ecosystem is amazing. Most projects are built on a small set of libraries that handle everything from large-scale data …
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Image by author # Introduction AI coding tools are getting effectively good at writing Python code that works. They can build entire applications and implement complex algorithms in minutes. However, …
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Author(s): glorious king j Originally published on Towards AI. Great, now we’ve learned about the foundation. Enough theory. Let’s make something. Figure 1. First content image of the articleThis article …
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Image by author # Introduction Most Python developers consider logging an afterthought. they throw around print() statement during development, maybe switch to basic logging later, and assume that’s enough. But …
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Image by author # Introduction As a machine learning practitioner, you know that feature engineering is laborious, manual work. You need to create interaction terms between features, properly encode categorical …
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Generative AI
How to build a portable, in-database feature engineering pipeline with Ibis using lazy Python API and DuckDB execution
In this tutorial, we demonstrate how we use A type of bird To create a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside …
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Image by editor , Introduction As a data professional, you know that machine learning models, analytics dashboards, business reports all depend on accurate, consistent, and properly formatted data. But here’s …
