Creating Data Dashboards with Python (Paperback)

Miguel Farmer

ISBN 13: 9798285424734

Published by Independently Published, 2025

About this Item

Paperback. Unlock the power of Python to design and develop dynamic data dashboards that deliver actionable insights with ease. This practical guide walks you through building interactive visualizations that allow users to explore and understand complex datasets through intuitive dashboards.Whether you're a data analyst, developer, or business professional, this book teaches you how to harness popular Python libraries to create dashboards that are not only functional but also visually appealing and easy to use.What you'll learn: Setting up your Python environment for dashboard developmentUsing libraries like Dash, Plotly, and Bokeh for interactive visualizationsDesigning layouts and user interfaces for dashboardsConnecting dashboards to live data sources and databasesImplementing filters, dropdowns, and input controls for user interactionCreating charts, maps, and tables to visualize different data typesOptimizing dashboards for performance and responsivenessDeploying dashboards as web applicationsBest practices for data storytelling and dashboard designReal-world examples and case studies to reinforce conceptsBy the end of this book, you'll be able to create powerful, interactive dashboards that transform data into insights accessible to all stakeholders.Perfect for anyone looking to build engaging and effective data dashboards using Python. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798285424734

Bibliographic Details

• Title: Creating Data Dashboards with Python (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798285424734
• Binding: Paperback
• Condition: new

About this title

Synopsis

Unlock the power of Python to design and develop dynamic data dashboards that deliver actionable insights with ease. This practical guide walks you through building interactive visualizations that allow users to explore and understand complex datasets through intuitive dashboards.

Whether you’re a data analyst, developer, or business professional, this book teaches you how to harness popular Python libraries to create dashboards that are not only functional but also visually appealing and easy to use.

What you’ll learn:

• Setting up your Python environment for dashboard development

• Using libraries like Dash, Plotly, and Bokeh for interactive visualizations

• Designing layouts and user interfaces for dashboards

• Connecting dashboards to live data sources and databases

• Implementing filters, dropdowns, and input controls for user interaction

• Creating charts, maps, and tables to visualize different data types

• Optimizing dashboards for performance and responsiveness

• Deploying dashboards as web applications

• Best practices for data storytelling and dashboard design

• Real-world examples and case studies to reinforce concepts

By the end of this book, you’ll be able to create powerful, interactive dashboards that transform data into insights accessible to all stakeholders.

Perfect for anyone looking to build engaging and effective data dashboards using Python.