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53 articles
Learn to analyze AI development trends and sentiment by scraping news articles, performing text analysis, and creating visualizations that help understand the tone around AI safety discussions.
Learn to build an AI-assisted learning dashboard that demonstrates how structured AI integration improves student performance, based on findings from a university study.
Learn to build a Python-based monitoring system for tracking environmental data from data centers using APIs and data visualization.
Learn how to analyze usage multipliers in AI subscriptions by building a Python script that calculates actual vs. reported usage and visualizes the differences.
Learn to build and analyze economic forecasting models with multiple scenarios, similar to Anthropic's approach to evaluating extreme economic projections and employment forecasts.
Learn to build a business analytics dashboard using Python that demonstrates the core concepts behind AI-powered analytics platforms like Thinking Machines, including revenue tracking, profit analysis, and data visualization.
Learn to track SpaceX stock prices and analyze trends using Python, creating a simple stock tracking tool that demonstrates real-world financial data analysis.
Learn how LabPlot helps scientists organize, analyze, and visualize scientific data using tools like aspect trees and analysis kernels.
Google introduces Sheets Canvas, a new feature that transforms spreadsheet data into dynamic, interactive visualizations. The tool enhances data presentation capabilities within Google Sheets.
Reflex XY is a Python library designed to build high-performance, interactive visualizations that handle large datasets and real-time data streams.
Reflex has open-sourced XY, a high-performance Python charting library that handles datasets with up to 100 million points while maintaining interactive speed and data fidelity.
Learn how XY, a new Python charting library, uses Rust and WebGL2 to visualize massive datasets with speed and interactivity.
