Build a 2025 Stock Dashboard in less than 40 lines of Python code!🤓

The page walks through a tutorial for building a stock value dashboard with Taipy, Plotly, and a Kaggle dataset. It says the app can dynamically filter data, display graphs, and handle user inputs using Python alone, without HTML, CSS, or JavaScript.

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• The article presents Taipy as an open-source library that simplifies building data apps.
• The tutorial uses Taipy, Plotly, and a Kaggle dataset to build a stock value dashboard.
• The app is described as dynamically filtering data, displaying graphs, and handling user inputs.
• The setup uses a Python environment with taipy, pandas, and plotly installed.
• The code adds a page header, a logo, and a title for the dashboard.
• A date range selector is added so the data can be filtered by start and end date.
• The dataset is loaded from sp500_stocks.csv and filtered when the dates input changes.
• A Plotly line chart is created from the Date and High columns and displayed in the Taipy page.
• The page says the dashboard is built without writing HTML, CSS, or JavaScript.
• It also points readers to Taipy Scenarios, the GitHub repository, and a video tutorial.