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How to Optimize Your Python Code Even If You’re a Beginner

Think you're too new to optimize Python? Think again. These quick tips make optimization easy and effective from the start.

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Bootstrapping Your Freelance Data Science Business for Cheap

This article provides a clear, practical guide to help you choose a niche, find clients, and scale your business effectively.

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Building End-to-End Data Pipelines: From Data Ingestion to Analysis

Check out this practical guide to designing scalable, reliable, and insight-driven data infrastructure.

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10 GitHub Repositories for Python Projects

Whether you are a beginner eager to build your first project, or an experienced coder wanting to expand your portfolio, GitHub is a goldmine of real-world Python projects to learn from.

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10 Python Math & Statistical Analysis One-Liners

Python makes common math and stats tasks super simple. These one-liners show how to do more with less code.

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The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs

This article explains how to turn messy raw data into useful features that help machine learning models make smarter and more accurate predictions.

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10 Surprising Things You Can Do with Python’s collections Module

This tutorial explores ten practical — and perhaps surprising — applications of the Python collections module.

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Build Your Own Simple Data Pipeline with Python and Docker

Learn how to develop a simple data pipeline and execute it easily.

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What Does Python’s __slots__ Actually Do?

Learn how Python __slots__ reduces memory and boosts speed with real benchmarks from a data science project used in Allegro’s hiring challenge.

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7 Python Web Development Frameworks for Data Scientists

Python web frameworks power everything from fast APIs and machine learning demos to complex web apps, interactive data apps, real-time applications, and production-ready deployments.

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