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47 articles
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.
Learn how to analyze electric vehicle battery degradation data using Python to understand real-world battery longevity trends.
Learn how to analyze stock market data using Python and financial libraries. This beginner-friendly tutorial teaches you to fetch stock data, create visualizations, and compare different companies' performance.
Learn to build a simple social media engagement dashboard that tracks user behavior metrics, inspired by discussions about social media addiction and platform design.
Learn to analyze tech acquisition valuations by creating financial models and visualizations using Python and stock market data.
Learn how to analyze stock market data for companies involved in major corporate mergers like the Paramount-Warner Bros. deal using Python and data visualization techniques.
Learn how to analyze stock data and simulate IPO oversubscription scenarios using Python and financial libraries.
