Best of Pandas — June 2025

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   Article

   Towards Data Science·48w

   Building A Modern Dashboard with Python and Taipy

   Taipy is a Python web framework designed for data scientists and engineers to build production-ready dashboards without web development expertise. The tutorial demonstrates creating an interactive sales dashboard with filtering capabilities, key metrics display, multiple chart types, and raw data tables using 100,000 synthetic sales records from a CSV file. Taipy excels over Streamlit and Gradio when building complex, high-performance, enterprise-grade applications that require scalability and maintainability.

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   Article

   Towards Data Science·51w

   Building a Modern Dashboard with Python and Gradio

   A comprehensive guide to building an interactive sales performance dashboard using Gradio, a Python library for creating web applications. The tutorial covers setting up Gradio, processing CSV data with Pandas, implementing filtering capabilities, generating visualizations with Matplotlib, and creating a responsive interface with key metrics, charts, and data tables. The dashboard allows users to filter by date ranges and product categories while displaying revenue trends, top products, and raw data dynamically.

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3. 3
   Article

   Learn Python·47w

   🏋️ How I Built a Gym & Diet Progress Tracker Using Python

   A developer built a personal fitness tracking application using Python to monitor workouts, diet, and progress without relying on commercial apps. The project uses pandas for data management, matplotlib/seaborn for visualization, CSV files for storage, and optionally tkinter for GUI. It tracks daily workouts, nutrition data, body weight, and generates visual progress charts. Key challenges included creating flexible input formats, preventing data overwrites, and clear long-term progress visualization.

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