finelybook
Getting Started with Taipy: The definitive guide to creating production-ready Python applications for data professionals
Author(s): Eric Narro (Author)
- Publisher finelybook 出版社: Packt Publishing
- Publication Date 出版日期: October 6, 2025
- Language 语言: English
- Print length 页数: 370 pages
- ISBN-10: 1836203810
- ISBN-13: 9781836203810
Book Description
Share your machine learning models, create chatbots, as well as build and deploy insightful dashboards speedily using Taipy with this hands-on book featuring real-world application examples from multiple industries
Key Features
- Create visually compelling, interactive data applications with Taipy
- Bring predictive models to end users and create data pipelines to compare scenarios with what-if analyses
- Go beyond prototypes to build and deploy production-ready applications using the cloud provider of your choice
- Purchase of the print or Kindle book includes a free PDF eBook in full color
Book Description
While data analysts, data scientists, and BI experts have the tools to analyze data, build models, and create compelling visuals, they often struggle to translate these insights into practical, user-friendly applications that help end users answer real-world questions, such as identifying revenue trends, predicting inventory needs, or detecting fraud, without wading through complex code.
Getting Started with Taipy is your comprehensive guide to overcoming this challenge. This book teaches you how to use Taipy, a powerful open-source Python library, to build intuitive, production-ready data apps quickly and efficiently. Instead of creating prototypes that nobody uses, you'll learn how to build faster applications that process large amounts of data for multiple users and deliver measurable business impact. Taipy does the heavy lifting to enable your users to visualize their KPIs, interact with charts and maps, and compare scenarios for better decision-making. You’ll discover how to use Taipy to create apps that make your data accessible and actionable for end users in production environments, such as cloud services or Docker containers.
By the end of this book, you won’t just understand Taipy, you'll be able to transform your data skills into impactful solutions that address real-world needs and deliver valuable insights.
What you will learn
- Explore Taipy, its use cases, and how it's different from other projects
- Discover how to create visually appealing interactive apps, display KPIs, charts, and maps
- Understand how to compare scenarios to make better decisions
- Connect Taipy applications to several data sources and services
- Develop apps for diverse use cases, including chatbots, dashboards, ML apps, and maps
- Deploy Taipy applications on different types of servers and services
- Master advanced concepts for simplifying and accelerating your development workflow
Who this book is for
If you’re a data analyst, data scientist, or BI analyst looking to build production-ready data apps entirely in Python, this book is for you. If your scripts and models sit idle because non-technical stakeholders can’t use them, this book shows you how to turn them into full applications fast with Taipy, so your work delivers real business value. It’s also valuable for developers and engineers who want to streamline their data workflows and build UIs in pure Python.
Table of Contents
- Introduction to Taipy
- Building User Interfaces with Taipy GUI
- Connecting to Data Sources: Exploring Taipy Core and Data Nodes
- Orchestrating Taipy Applications
- Managing Scenarios with Taipy
- Deploying Your Taipy Applications
- Financial Forecasting with Taipy
- Supply Chain Management with Taipy
- Insurance Fraud Detection with Taipy
- Manufacturing Planning with Taipy
- Building a LLM Chatbot with Taipy
- Handling Big Data in Taipy Applications
- Utilizing Partials and Asynchronous Callbacks in Taipy
(N.B. Please use the Read Sample option to see further chapters)
Editorial Reviews
Review
“Not just a getting started tutorial, this is a complete guide for both beginners and advanced Taipy users - practical, detailed, and essential. A must have.”
Alvaro Tejada Galindo (Blag), Technical Architect at Diff Consulting, Senior Developer Advocate & Programming Languages Archaelogist
“As a Dash Plotly developer and RAG system builder, I’ve struggled to find a straightforward component for creating chatbots. While Dash provides a third-party option, it isn’t ideal for customization and adds unnecessary complexity. In contrast, Eric Narros’s book Getting Started with Taipy introduced me to Taipy’s built-in chatbot component, which is simple to implement. He also explains how to manage conversation flow and shares styling tips to make your chatbot production ready.”
Marco Rodrigues, Python Developer and AI Engineer
“From the GUI to data pipelines, this book provides a solid foundation for entering the world of data-driven application development, without the need to dive into more complex web development frameworks. The didactic approach, with code snippets that highlight key aspects, enables a clear understanding of concepts for both beginners and existing Taipy users. Without a doubt, this book will become a structural cornerstone of knowledge for the community.”
Jaime Eduardo Navarrete, Software & Instrumentation Engineer and Founder in ACTECH-LATAM
“This book is a truly refreshing journey into the world of Taipy, moving beyond a mere operative manual to guide readers through a structured learning experience. Its pleasant readability makes complex concepts, which might seem less linear in the official documentation, remarkably clear and accessible. While some examples occasionally assume prior assimilation of discussed topics, this is a minor detail in an otherwise exceptional resource. I wholeheartedly recommend this book, as it powerfully showcases a framework that, in my strong belief, surpasses other more prominent solutions favoured by the wider Data Scientist community.”
Andrea Moro, Senior Technical SEO and AI Enthusiast
About the Author
Eric Narro is a passionate data analyst and Python enthusiast with experience in insurance and agriculture. He transitioned from the wine industry to programming and data analysis, moved by the need for tools that enable professionals with little programming skills to create data applications. In 2022, he discovered Taipy, fell in love with its concept and quickly became an active contributor. He has written several articles on Taipy's main components, Taipy Gui and Taipy Core, and frequently uses Taipy to develop prototypes, dashboards, chatbots, and specialized apps. Eric is also engaged in contests, active on social media, and has actively contributed by suggesting new features and reporting bugs.
