Category: AI & Data Science
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Mastering Claude Code: From First Launch to 250 PRs a Month
Boris Cherny merges 250+ PRs a month with Claude Code. Here’s every trick — from your first /clear to running 10 parallel sessions — organized by difficulty level.
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The $50,000 Prompt: How McKinsey Frameworks Turn AI Into Your Best Supply Chain Consultant
Most supply chain managers ask AI vague questions and get vague answers. McKinsey consultants have spent 100 years perfecting structured thinking frameworks — and those same frameworks transform AI prompts from mediocre to boardroom-ready. Here are 6 frameworks, 12 before/after examples, and the data to prove it.
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Your AI Education Is Free: 29 Resources That Cost Nothing But Your Time
Your CEO just asked about your AI strategy. Here are 29 free resources — from Anthropic’s academy to Karpathy’s YouTube — organized by how you like to learn.
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Advantages of R and Python over Excel
Twelve compelling reasons why R and Python outperform Excel for data analysis — and practical advice on making the transition from spreadsheets to code-based analytics.
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Sales Data Visualization: Beyond Pie Charts
Move beyond pie charts to more effective visualizations for sales data — waffle charts for proportions, seasonal decomposition for patterns, and interactive dashboards for forecasting.
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bupaR: The Process Mining Toolkit That Shows You How Your Factory Actually Runs
Your factory has a designed process and an actual process. bupaR — the open-source process mining suite for R — shows you the difference, and that difference is where your efficiency gains are hiding.
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Process Mining a Mobile Phone Assembly Line with bupaR
Using R’s bupaR ecosystem to analyze a smartphone assembly process — from creating event logs to discovering bottlenecks, rework patterns, and resource utilization.