Using AI to Map Legacy and Inherited Code: A Practical Guide
Master AI-driven code mapping with this 4-step guide to navigating legacy projects. Turn complex code into clear diagrams and actionable documentation.
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The pitfalls of over-reliance on AI for self-directed learning
Do you over-rely on AI? Understand the risks of using AI for self-directed learning. Struggle productively. Reclaim your critical thinking.
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How Far Can You Push Excel with Regex?
Learn how to use regex pattern matching in Excel for advanced data cleaning, text extraction, and analysis.
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Still copy-pasting into ChatGPT? Here’s how to turn your ideas into AI-powered apps
Learn to build AI-powered apps using LLM APIs. This beginner’s guide covers prompt engineering, function calling, and creating custom AI tools.
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You’re using ChatGPT wrong. Here’s how to prompt like a pro
Master advanced prompt engineering techniques like Chain-of-Thought, ReAct, and role-based prompting strategies to get smarter LLM responses
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Model Evaluation: Why Accuracy Isn’t Enough
Learn why accuracy fails in imbalanced data. Master essential model evaluation metrics: Precision, Recall, and the F1 score for robust ML classification.
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Information at a Glance: Do Your Charts Suck?
Master data visualization: use pre-attentive features, Gestalt theory, and proper visual data encoding to create clear, effective charts
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Who Needs Strava Premium When You Have Python?
Build a Strava heatmap using the Python API for custom GPS route visualization. Filter by type and date range for advanced data analysis.
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How to Use the Strava API with Python – Beginner Tutorial
Beginner’s guide to the Strava API with Python. Use OAuth2 for authorization and get activity data. Handle access tokens and usage limits.
